# StackMap > A curated knowledge graph of 203 open-source AI & agent repos. Every connection is a typed, human-reviewed relationship (complements / alternative / built_with) with the "why" written down. Catalog version 2026.07.24 (updated daily; additive within a day). ## Start here (curated paths) - [Build a coding agent](https://stackmap.shipwithai.xyz/paths/build-a-coding-agent): From a bare LLM loop to a production coding agent — seven repos in the order you'll actually need them, with the why at every step. ## Repos - [9router](https://stackmap.shipwithai.xyz/repos/decolua/9router): Self-hosted gateway pointing any AI coding CLI (Claude Code, Codex, Cursor, Cline) at 40+ providers, with subscription→cheap→free auto-fallback and tool_result compression for 20-40% token savings. - [aaron-marketing-skills](https://stackmap.shipwithai.xyz/repos/aaron-he-zhu/aaron-marketing-skills): 120 marketing skills + 8 commands for Claude Code across 7 disciplines — SEO/GEO, influencer, paid ads, email, launch, social, brand — on one contract with 8 benchmark-driven auditor gates. - [abtop](https://stackmap.shipwithai.xyz/repos/graykode/abtop): htop for AI coding agents: every Claude Code, Codex and OpenCode session in one TUI — tokens, context-window %, rate limits, child processes, orphan ports. Read-only, no API keys. Rust. - [Adala](https://stackmap.shipwithai.xyz/repos/HumanSignal/adala): HumanSignal's autonomous data-labeling agent framework: define a skill, give it ground truth, and the agent iterates — learn, apply, reflect — until it hits your accuracy threshold. - [agent-flow](https://stackmap.shipwithai.xyz/repos/patoles/agent-flow): Live node-graph visualization of Claude Code and Codex sessions — watch agents think, branch into subagents and call tools in real time. VS Code extension or npx web app. Apache-2.0. - [agentfield](https://stackmap.shipwithai.xyz/repos/Agent-Field/agentfield): Open-source control plane that runs AI agents as microservices: write plain Python/Go/TS functions, get REST endpoints with routing, queues, retries, memory and tracing — one laptop to 10k agents. - [agentic-context-engine](https://stackmap.shipwithai.xyz/repos/kayba-ai/agentic-context-engine): Learning loop for any agent: reflect on failures, distill strategies into a Skillbook, inject them next run — 2x consistency on Tau2, 49% token cuts. LiteLLM-based, 100+ providers. - [agents-cli](https://stackmap.shipwithai.xyz/repos/google/agents-cli): CLI + agent-skills layer that turns your coding assistant into a Google Cloud agent-lifecycle expert: scaffold ADK projects, run and evaluate them, then deploy and publish to Gemini Enterprise. - [ai-engineering-hub](https://stackmap.shipwithai.xyz/repos/patchy631/ai-engineering-hub): 36k-star hub of runnable AI engineering tutorials — LLMs, RAG and agent apps as self-contained projects, including build-code-harness: a Claude-Code-style coding harness rebuilt on CrewAI + E2B. - [ai-job-search](https://stackmap.shipwithai.xyz/repos/MadsLorentzen/ai-job-search): A job-application framework built ON Claude Code: fork it, fill in your profile, and the agent evaluates postings, tailors CVs, writes cover letters and preps interviews — locally. - [ai-marketing-claude](https://stackmap.shipwithai.xyz/repos/zubair-trabzada/ai-marketing-claude): 15 marketing skills for Claude Code — /market audit runs 5 parallel agents scoring a site across 6 dimensions; copy, email sequences, ad creative, competitor intel and client-ready PDF reports. - [ai-token-monitor](https://stackmap.shipwithai.xyz/repos/soulduse/ai-token-monitor): Menu-bar/tray app for macOS and Windows that reads Claude Code, Codex and OpenCode session logs and shows live token spend — per-model pricing with cache reads, plan-limit bars, webhook alerts. - [airllm](https://stackmap.shipwithai.xyz/repos/lyogavin/airllm): Layer-by-layer inference that runs 70B models on a 4GB GPU — no quantization required; 405B on 8GB, DeepSeek-V3 671B on ~12GB. One AutoModel line for most open model families. - [all-agentic-architectures](https://stackmap.shipwithai.xyz/repos/FareedKhan-dev/all-agentic-architectures): 35 agentic patterns (Reflexion, LATS, GraphRAG, MemGPT, Voyager…) as one Python library plus a runnable textbook — real LLM outputs, 9 providers, benchmark leaderboard, 283 tests. - [allama](https://stackmap.shipwithai.xyz/repos/digitranslab/allama): Open-source AI security automation (SOAR): visual playbook builder, autonomous triage agents, and 80+ SIEM/EDR/identity/ticketing integrations. Self-hosted, multi-tenant. - [alook](https://stackmap.shipwithai.xyz/repos/alookai/alook): Self-hosted collaboration layer that turns local coding agents (Claude Code, Codex, OpenCode) into an always-on "AI company" — per-agent email, org chart, kanban, shared memory. - [apm](https://stackmap.shipwithai.xyz/repos/microsoft/apm): Microsoft's dependency manager for agent context — declare skills, prompts, plugins and MCP servers in apm.yml; one install reproduces the setup across 8 clients with lockfile pinning and org policy. - [asm](https://stackmap.shipwithai.xyz/repos/luongnv89/asm): Scriptable skill manager for AI coding agents — install, search, dedupe-audit and security-scan skills across 19 providers, with --json/--yes on every command so agents and CI can drive it. - [Auto-Company](https://stackmap.shipwithai.xyz/repos/MaxMiksa/auto-company): A fully autonomous 'AI company' on your own PC: 14 expert-modeled agents ideate, decide, code, deploy and market 24/7 — driven by Claude Code or Codex CLI, with a local dashboard. - [AutoGen](https://stackmap.shipwithai.xyz/repos/microsoft/autogen): Multi-agent conversation framework for building LLM applications with cooperating agents. - [AutoHedge](https://stackmap.shipwithai.xyz/repos/The-Swarm-Corporation/autohedge): Swarm-agent 'autonomous hedge fund': cooperating agents automate market analysis, risk management and trade execution. Python, from the Swarms ecosystem. - [autoresearch](https://stackmap.shipwithai.xyz/repos/uditgoenka/autoresearch): Karpathy's autoresearch loop as an installable skill for Claude Code, OpenCode and Codex: constraint + mechanical metric + autonomous modify→verify→keep/discard iteration. - [autoscraper](https://stackmap.shipwithai.xyz/repos/alirezamika/autoscraper): Learn-by-example Python scraper: give it a URL and sample values you want, it infers the extraction rules and reapplies them to similar pages. Tiny, fast, zero selectors. - [autoskills](https://stackmap.shipwithai.xyz/repos/midudev/autoskills): One command installs your project's AI skill stack: scans package.json/Gradle/configs, detects the tech stack, and pulls matching skills from an audited, hash-verified registry. - [bemyagent](https://stackmap.shipwithai.xyz/repos/vitotafuni/bemyagent): One markdown bootstrap file that scaffolds a structured workspace for any coding agent — persistent project docs plus a task tree run through a Think→Task→Execute→Verify cycle with human pacing gates. - [browser-harness-js](https://stackmap.shipwithai.xyz/repos/browser-use/browser-harness-js): browser-use's thinnest LLM-to-Chrome bridge: all 652 CDP methods as typed JS calls over one WebSocket — no click() helpers, no rails; the protocol is the API. - [browser-use](https://stackmap.shipwithai.xyz/repos/browser-use/browser-use): The standard library for letting AI agents drive a real browser — click, type, fill forms and complete tasks from a natural-language goal. 100k+ stars, Python. - [BrowserOS](https://stackmap.shipwithai.xyz/repos/browseros-ai/browseros): Open-source agentic browsing, twice: BrowserClaw — a browser your MCP agent drives using your real logged-in sessions — and BrowserOS, a Chromium fork with a built-in AI agent. - [bytechef](https://stackmap.shipwithai.xyz/repos/bytechefhq/bytechef): Open-source platform unifying AI agent orchestration with classic workflow automation — visual builder, 200+ integration components, self-hosted via Docker. Apache 2.0 + EE split. - [cc-lens](https://stackmap.shipwithai.xyz/repos/Arindam200/cc-lens): npx cc-lens: local analytics dashboard over ~/.claude — sessions with replay, cost and cache breakdowns, insights and budgets, team-adoption mode, a yearly Wrapped card. No cloud, no telemetry. - [cc-thinking-skills](https://stackmap.shipwithai.xyz/repos/tjboudreaux/cc-thinking-skills): 18 mental models as Claude Code skills — First Principles, Bayesian reasoning, Systems Thinking, OODA, Pre-Mortem and more — invoked when a problem needs a thinking framework. - [cc-wf-studio](https://stackmap.shipwithai.xyz/repos/breaking-brake/cc-wf-studio): Visual workflow canvas that exports to the Markdown your agent already understands — design on nodes, ship as skills/agents/commands for Claude Code, Copilot, Codex, Gemini and more. - [chandra](https://stackmap.shipwithai.xyz/repos/datalab-to/chandra): Datalab's SOTA open OCR model: images/PDFs to structured HTML/Markdown/JSON with layout, tables, forms, checkboxes, handwriting and math, in 90+ languages. Local HF or vLLM inference. - [Chroma](https://stackmap.shipwithai.xyz/repos/chroma-core/chroma): Open-source embedding database for building AI apps with retrieval. - [chunkr](https://stackmap.shipwithai.xyz/repos/lumina-ai-inc/chunkr): Document intelligence API in Rust: layout analysis, OCR with bounding boxes, and semantic chunking that turn PDFs, PPTs and Word docs into RAG-ready structured chunks. - [claude-ads](https://stackmap.shipwithai.xyz/repos/AgriciDaniel/claude-ads): Paid-media operations skill for Claude Code across 12 ad platforms — source-grounded audits with deterministic scoring, versioned JSON reports, and account changes gated behind approval and rollback. - [claude-bug-bounty](https://stackmap.shipwithai.xyz/repos/shuvonsec/claude-bug-bounty): Autonomous bug-bounty agent for the terminal — recon, 20 vuln classes, a validation gate and submission-ready HackerOne/Bugcrowd reports. Runs as a Claude Code plugin or standalone on free providers. - [claude-code-karma](https://stackmap.shipwithai.xyz/repos/JayantDevkar/claude-code-karma): Local-first dashboard over ~/.claude — sessions, timelines, per-session costs, tool/agent/skill/plugin analytics, live activity via hooks, and ticket linking. No cloud, no telemetry. - [claude-reflect](https://stackmap.shipwithai.xyz/repos/BayramAnnakov/claude-reflect): Claude Code plugin that learns from your corrections — hooks capture them in-session, /reflect syncs approved learnings to CLAUDE.md/AGENTS.md, /reflect-skills mines history into reusable commands. - [claude-secrets](https://stackmap.shipwithai.xyz/repos/vaultry/claude-secrets): Encrypted secrets store for Claude Code: macOS-Keychain-backed vault with MCP server, CLI, commit-safe secret:// .env placeholders and a native input dialog. - [CLIProxyAPI](https://stackmap.shipwithai.xyz/repos/router-for-me/cliproxyapi): Turns your coding-CLI subscriptions (Claude Code, Codex, Antigravity, Kimi, Grok) into a local OpenAI/Gemini/Claude-compatible API — multi-account rotation in one Go proxy. - [cocoindex-code](https://stackmap.shipwithai.xyz/repos/cocoindex-io/cocoindex-code): AST-based semantic code search for coding agents: pipx install, zero config, local embeddings out of the box — a CLI/skill/MCP that cuts agent context ~70% vs grepping. Built on CocoIndex. - [cocoindex](https://stackmap.shipwithai.xyz/repos/cocoindex-io/cocoindex): Rust-core incremental indexing engine: declare Target = F(Source) in Python and it keeps vector/graph/relational targets fresh forever, reprocessing only the delta — with per-row lineage. - [code-review-graph](https://stackmap.shipwithai.xyz/repos/tirth8205/code-review-graph): Local-first code intelligence graph for AI coding tools: Tree-sitter AST graph + blast-radius analysis served over MCP, so agents read ~82x fewer tokens per review question. - [codebase-memory-mcp](https://stackmap.shipwithai.xyz/repos/DeusData/codebase-memory-mcp): Code intelligence MCP in pure C: tree-sitter knowledge graph over 158 languages, average repo indexed in milliseconds, sub-ms queries, 10x fewer tokens. Single static binary, zero deps. - [codeflow](https://stackmap.shipwithai.xyz/repos/braedonsaunders/codeflow): Paste a GitHub URL or drop a local folder → interactive architecture map in the browser: dependency graph, blast radius, health grade, security scan. Single index.html, zero install. - [codegraph-mcp](https://stackmap.shipwithai.xyz/repos/cognis-digital/codegraph-mcp): No-train, on-prem code knowledge graph served to AI agents over MCP — symbols, call edges, cross-language links and blast-radius queries, with a hash-chained audit log of every read. - [CodeNomad](https://stackmap.shipwithai.xyz/repos/NeuralNomadsAI/codenomad): Desktop cockpit for OpenCode: multi-instance sessions, git worktrees, remote browser access, voice input and a command palette — a workspace for living in AI coding sessions. - [CodexGuide](https://stackmap.shipwithai.xyz/repos/freestylefly/codexguide): Community-maintained Chinese practice guide to OpenAI Codex — learning paths, CLI/App/Cloud/IDE setup, AGENTS.md templates, sandbox/approval safety and team playbooks, published at codexguide.ai. - [codexmate](https://stackmap.shipwithai.xyz/repos/SakuraByteCore/codexmate): Local-first CLI + web dashboard for your coding agents — switch providers, browse sessions across Codex/Claude Code/Gemini CLI, share skills, queue tasks, and bridge Codex/Claude to any API. - [colibri](https://stackmap.shipwithai.xyz/repos/JustVugg/colibri): Pure-C, zero-dep MoE runtime that runs GLM-5.2 (744B) on a 25GB-RAM consumer box by streaming experts from disk — VRAM/RAM/NVMe as one tiered hierarchy, never touching precision. - [commonforms](https://stackmap.shipwithai.xyz/repos/jbarrow/commonforms): Turns any PDF into a fillable form: FFDNet models detect text, checkbox and signature fields; one CLI command writes the interactive PDF. Paper, dataset and weights all open. - [contrabass](https://stackmap.shipwithai.xyz/repos/junhoyeo/contrabass): Terminal-first orchestrator for issue-driven AI coding-agent runs — polls Linear/GitHub, runs Codex/OpenCode in git worktrees with retries and verification. Go/Charm rebuild of OpenAI's Symphony. - [core](https://stackmap.shipwithai.xyz/repos/RedPlanetHQ/core): Self-hosted, always-on "personal AI OS": watches your apps, keeps a persistent memory graph, and acts autonomously within guardrails — a product, not a library for building agents. - [coreai-models](https://stackmap.shipwithai.xyz/repos/apple/coreai-models): Apple's official Core AI toolkit: recipes exporting Hugging Face models to .aimodel, PyTorch primitives for authoring, Swift runtime for macOS/iOS apps — plus skills for coding agents. - [council-of-high-intelligence](https://stackmap.shipwithai.xyz/repos/0xNyk/council-of-high-intelligence): /council: 18 AI personas deliberate your hardest decisions across multiple LLM providers — structured multi-round disagreement, confidence-weighted verdicts, one slash command. - [crawl4ai](https://stackmap.shipwithai.xyz/repos/unclecode/crawl4ai): The 74k-star LLM-native crawler: turns any site into clean, RAG-ready Markdown — adaptive crawling, JS rendering, extraction strategies, Docker deploy. Python, Apache-2.0. - [crawlee](https://stackmap.shipwithai.xyz/repos/apify/crawlee): Apify's web scraping and browser automation library for Node.js/TypeScript — HTTP and headless-browser crawlers with human-like anti-blocking defaults, queues, storage and proxies. - [CrewAI](https://stackmap.shipwithai.xyz/repos/joaomdmoura/crewai): Orchestrate role-playing, autonomous AI agents that collaborate on tasks. - [CubeSandbox](https://stackmap.shipwithai.xyz/repos/TencentCloud/cubesandbox): Hardware-isolated microVM sandboxes for AI agents — sub-60ms boot, <5MB overhead, E2B-compatible API, self-hosted on your own KVM nodes. - [cwc-long-running-agents](https://stackmap.shipwithai.xyz/repos/anthropics/cwc-long-running-agents): Anthropic's harness primitives for long-running Claude agents: default-FAIL evidence gates, a fresh-context evaluator subagent and handoff hooks — each one standalone, readable file. - [DataFlow](https://stackmap.shipwithai.xyz/repos/OpenDCAI/dataflow): Operator-based system for LLM data prep — 100+ operators composed into pipelines that generate, clean, evaluate and filter pretraining/SFT/RL data, with a WebUI and a pipeline-building agent. - [deepagents](https://stackmap.shipwithai.xyz/repos/langchain-ai/deepagents): LangChain's batteries-included agent harness on LangGraph — planning, sub-agents with isolated context, filesystem, shell, skills, human-in-the-loop and persistent memory out of the box. - [DeepDive](https://stackmap.shipwithai.xyz/repos/THUDM/deepdive): THUDM recipe for deep-search agents: synthesize hard multi-hop QA from knowledge-graph random walks, then multi-turn GRPO RL — DeepDive-32B hits 14.8% BrowseComp; data feeds GLM-4.5/4.6. - [deepeval](https://stackmap.shipwithai.xyz/repos/confident-ai/deepeval): Pytest for LLM apps: 40+ research-backed metrics — G-Eval, RAG suite, agent task completion, hallucination — as unit tests you run in CI, judged by any LLM including local ones. - [deepface](https://stackmap.shipwithai.xyz/repos/serengil/deepface): Lightweight Python face recognition and facial-attribute analysis (age, gender, emotion) wrapping VGG-Face, FaceNet, ArcFace and friends — pip install, self-hosted, battle-tested at 23k stars. - [deepteam](https://stackmap.shipwithai.xyz/repos/confident-ai/deepteam): Open-source red-teaming framework for LLM systems: 50+ vulnerabilities, jailbreak/injection/multi-turn attacks against agents, RAG pipelines and chatbots — plus guardrails. Runs locally. - [designer-skills](https://stackmap.shipwithai.xyz/repos/Owl-Listener/designer-skills): 239 design skills, 88 commands and 33 plugins for Claude Code and Gemini CLI — research, design systems, UI, interaction and delivery, written for agents to actually execute. - [DSPy](https://stackmap.shipwithai.xyz/repos/stanfordnlp/dspy): Program — don't prompt — your language models. Compile declarative pipelines into optimized prompts. - [ECC](https://stackmap.shipwithai.xyz/repos/affaan-m/ecc): Cross-harness 'operating system' for coding agents — 268 skills, 66 agents, hooks, rules, memory persistence, instinct-based continuous learning and AgentShield security scanning. MIT. - [evo](https://stackmap.shipwithai.xyz/repos/evo-hq/evo): Karpathy-style autoresearch on any codebase: /evo:discover instruments the benchmark, /evo:optimize runs tree search with parallel subagents in worktrees. Plugin for Claude Code, Codex & co. - [exxperts](https://stackmap.shipwithai.xyz/repos/EXXETA/exxperts): Local-first agentic runtime with persistent AI rooms and approval-gated memory: every memory write needs your OK; rooms, KB and artifacts are plain files on disk. - [fabro](https://stackmap.shipwithai.xyz/repos/fabro-sh/fabro): Rust 'software factory' for coding agents: define the SDLC as a graph, agents execute it through verification gates, you intervene only at the stages that matter. Server, runs board, sandboxes. - [finance-skills](https://stackmap.shipwithai.xyz/repos/himself65/finance-skills): Agent skills for financial analysis and trading on the agentskills.io open standard — installable into Claude Code and friends, with a documented demo site. - [flowsint](https://stackmap.shipwithai.xyz/repos/reconurge/flowsint): Self-hosted OSINT investigation platform — explore entities on a Neo4j-backed visual graph and expand them with 30+ enrichers: DNS/WHOIS/subdomains, breach checks, Maigret, crypto wallets. - [forkd](https://stackmap.shipwithai.xyz/repos/deeplethe/forkd): fork() for agent microVMs: children fork copy-on-write from a warm Firecracker parent — 100 KVM-isolated VMs in ~100ms, live-VM branching in ~56ms, portable snapshots from a hub. - [free-claude-code](https://stackmap.shipwithai.xyz/repos/Alishahryar1/free-claude-code): Provider-backed proxy that runs Claude Code, Codex or Pi on 25 cloud and local providers — fcc-* launchers, local Admin UI with validation, per-tier model routing, IDE/Discord/Telegram hookups. - [freellmapi](https://stackmap.shipwithai.xyz/repos/tashfeenahmed/freellmapi): OpenAI-compatible proxy that stacks free tiers of 18 LLM providers (~1.7B tokens/mo) behind one /v1 — smart routing, failover, per-key quota tracking; Claude Code and Codex shims included. - [Fusion](https://stackmap.shipwithai.xyz/repos/Runfusion/fusion): A multi-agent software factory: describe a task, agents plan (PROMPT.md), build, review and merge in isolated worktrees — kanban + graph board, missions, agent chat rooms, any model. Early preview. - [garak](https://stackmap.shipwithai.xyz/repos/NVIDIA/garak): NVIDIA's LLM vulnerability scanner: nmap-style probing for jailbreaks, prompt injection, data leakage, toxicity and hallucination across dozens of model endpoints. - [giskard-oss](https://stackmap.shipwithai.xyz/repos/Giskard-AI/giskard-oss): Giskard v3: modular Python evals and red-teaming for agentic systems — scenario-based checks with LLM-as-judge, plus an automatic vulnerability scanner across OWASP LLM Top-10 categories. - [govctl](https://stackmap.shipwithai.xyz/repos/govctl-org/govctl): Governance-as-code CLI for AI-assisted development: prompts and patches become RFCs, ADRs and work items with executable verification gates — reviewable, traceable, phase-gated delivery. - [gym-anything](https://stackmap.shipwithai.xyz/repos/cmu-l3/gym-anything): CMU framework that turns real software — browsers, IDEs, EMRs, CAD — into standardized agent environments: start the app, hand the agent a task, score it with automatic verifiers. - [h2o-llmstudio](https://stackmap.shipwithai.xyz/repos/h2oai/h2o-llmstudio): H2O's no-code GUI and framework for fine-tuning LLMs — LoRA, 8-bit, DPO and experiment tracking behind a web UI, with CLI and Docker paths for the same configs. - [Handy](https://stackmap.shipwithai.xyz/repos/cjpais/handy): Push-to-talk offline dictation: hotkey, speak, text lands in whatever field has focus. Whisper or Parakeet fully on-device; cross-platform Rust/Tauri, built to be forked. - [headroom](https://stackmap.shipwithai.xyz/repos/headroomlabs-ai/headroom): Context compression layer for agents: squeezes tool outputs, logs, files and RAG chunks 20-95% before the LLM — reversible, local-first; library, proxy, one-command agent wrap, or MCP. - [helmor](https://stackmap.shipwithai.xyz/repos/dohooo/helmor): Local-first desktop workbench for orchestrating coding agents: per-repo workspaces, task dispatch, live status and runnable actions — GUI plus CLI, Apache-2.0. - [hindsight](https://stackmap.shipwithai.xyz/repos/vectorize-io/hindsight): Agent memory that learns, not just recalls: retain/recall/reflect API over Postgres, SOTA on LongMemEval. Self-host via Docker with UI; Python/TS clients, any LLM provider. - [hivemind](https://stackmap.shipwithai.xyz/repos/activeloopai/hivemind): Activeloop's shared brain for agent TEAMS: traces from Claude Code, Codex, Cursor & co become reusable skills every teammate's agent can execute — cloud-backed, 25% cheaper on LoCoMo. - [Horizon](https://stackmap.shipwithai.xyz/repos/Thysrael/horizon): Your own AI news radar: monitors the sources you choose and generates daily briefings in English and Chinese — self-hosted, personal, scheduled. - [html-anything](https://stackmap.shipwithai.xyz/repos/nexu-io/html-anything): The agentic HTML editor: your local coding-agent CLI (9 auto-detected, zero API keys) writes magazine pages, decks, posters and tweet cards via 75 skills — sandboxed preview, 1-click export. - [Hyper-Extract](https://stackmap.shipwithai.xyz/repos/yifanfeng97/hyper-extract): Knowledge-extraction CLI: LLMs turn documents into structured graphs, hypergraphs and spatio-temporal knowledge — with an MCP server for agents and Obsidian vault export. - [InsForge](https://stackmap.shipwithai.xyz/repos/InsForge/insforge): All-in-one open-source backend for agentic coding: Postgres, auth, storage, edge functions, model gateway and site hosting — your coding agent operates it over MCP. - [Kami](https://stackmap.shipwithai.xyz/repos/tw93/kami): A document design system for AI agents: one constraint language and eight templates (plus a landing-page system) so agent-produced documents ship consistent instead of generic gray. - [karakeep](https://stackmap.shipwithai.xyz/repos/karakeep-app/karakeep): Self-hostable bookmark-everything app — links, notes, images, PDFs — with AI auto-tagging, OCR, full-text search, full-page archival, RSS auto-hoarding, and a CLI plus skills for LLM agents. - [ktx](https://stackmap.shipwithai.xyz/repos/Kaelio/ktx): Self-improving context layer for data agents — ingests dbt/Looker/wikis, maps your warehouse, builds a semantic layer with approved metrics, and serves Claude Code/Codex via CLI and MCP. - [LangGraph](https://stackmap.shipwithai.xyz/repos/langchain-ai/langgraph): Build stateful, multi-actor LLM apps as graphs — durable execution, human-in-the-loop, streaming. - [LangSmith](https://stackmap.shipwithai.xyz/repos/langchain-ai/langsmith): Trace, test and monitor LLM apps in production. - [last30days-skill](https://stackmap.shipwithai.xyz/repos/mvanhorn/last30days-skill): The /last30days skill: researches any topic across Reddit, X, YouTube, HN, TikTok and Polymarket in parallel, scores by real engagement, and synthesizes one grounded brief. 50+ agent hosts. - [LightMem](https://stackmap.shipwithai.xyz/repos/zjunlp/lightmem): ICLR 2026 memory framework for LLMs/agents: LLMLingua pre-compression, topic segmentation and offline memory updates — leading LoCoMo/LongMemEval results at lower token cost. - [litellm](https://stackmap.shipwithai.xyz/repos/BerriAI/litellm): Open-source AI gateway: call 100+ LLM providers in OpenAI format via a Python SDK or self-hosted proxy — with cost tracking, virtual keys, guardrails, load balancing and logging. - [LlamaFactory](https://stackmap.shipwithai.xyz/repos/hiyouga/llamafactory): The unified fine-tuning framework: 100+ LLMs and VLMs via LoRA/QLoRA/full-parameter, config-driven or through the LlamaBoard GUI. ACL 2024, 1000+ citations, 73k stars. - [LlamaIndex](https://stackmap.shipwithai.xyz/repos/run-llama/llamaindex): Data framework for connecting custom data sources to LLMs — ingestion, indexing, retrieval. - [llm-d](https://stackmap.shipwithai.xyz/repos/llm-d/llm-d): Distributed inference stack for Kubernetes from Red Hat, Google and IBM (CNCF) — prefix-cache-aware routing, tiered KV-cache, prefill/decode disaggregation and SLO autoscaling above vLLM/SGLang. - [LMCache](https://stackmap.shipwithai.xyz/repos/LMCache/lmcache): KV-cache layer for scalable LLM serving: offload and reuse KV across GPU/CPU/disk/remote tiers to cut TTFT and prefill cost. vLLM-first; used by NVIDIA Dynamo and llm-d. - [loop-engineering](https://stackmap.shipwithai.xyz/repos/cobusgreyling/loop-engineering): Reference repo plus npm CLIs (loop-init/audit/cost) for loop engineering: designing scheduled, gated control loops that prompt and orchestrate AI coding agents — Grok, Claude Code, Codex — over time. - [loopy](https://stackmap.shipwithai.xyz/repos/Forward-Future/loopy): A public library of reusable AI-agent loops plus Loopy, an installable skill that helps agents find, audit, adapt, run and publish loops from the live catalog. - [LuxTTS](https://stackmap.shipwithai.xyz/repos/ysharma3501/luxtts): Lightweight voice-cloning TTS — 48kHz speech at 150x realtime, fits in 1GB VRAM and runs on CPU or MPS. SOTA cloning from a ~3s reference sample, rivaling models 10x larger. - [Lynkr](https://stackmap.shipwithai.xyz/repos/Fast-Editor/lynkr): Self-hosted LLM gateway wrapping Claude Code, Cursor or Codex with zero code changes — strips unused tools, compresses JSON tool results ~88%, semantic-caches, tier-routes easy work to local models. - [mails](https://stackmap.shipwithai.xyz/repos/chekusu/mails): Email infrastructure for AI agents — send, receive, search and auto-extract verification codes via CLI/SDK, backed by a Cloudflare Worker; free hosted @mails.dev mailboxes or self-host. - [MaxKB](https://stackmap.shipwithai.xyz/repos/1Panel-dev/maxkb): Open-source enterprise agent platform: RAG pipelines (upload or crawl docs), a visual workflow engine with MCP tool-use, and zero-code embedding into existing business systems. - [meetily](https://stackmap.shipwithai.xyz/repos/Zackriya-Solutions/meetily): Privacy-first meeting note-taker that runs 100% on-device: live Whisper/Parakeet transcription, speaker diarization, local Ollama summaries. Desktop app for macOS & Windows — no cloud, no call bots. - [memanto](https://stackmap.shipwithai.xyz/repos/moorcheh-ai/memanto): Fully-local persistent memory for 14+ coding agents, built on an information-theoretic search engine — no vector DB, no API keys, no backend. pip install and your agents remember. - [MemMachine](https://stackmap.shipwithai.xyz/repos/MemMachine/memmachine): Long-term memory layer for AI agents — episodic (graph), profile (SQL) and working memory behind Python/TS SDKs, REST and MCP; ships LangChain, LangGraph, CrewAI and LlamaIndex integrations. - [MemMolt](https://stackmap.shipwithai.xyz/repos/rituraj-io/memmolt): Structured long-term memory over MCP: an enforced bucket-thread-memo hierarchy in one SQLite file, hybrid FTS5 + vector search fused with RRF, local embeddings. - [memory-os](https://stackmap.shipwithai.xyz/repos/ClaudioDrews/memory-os): A 7-layer memory operating system for Hermes Agent: Qdrant vectors, structured facts, fabric recall, an auto-curated wiki, and surgical context injection. - [memsearch](https://stackmap.shipwithai.xyz/repos/zilliztech/memsearch): Zilliz's unified memory for coding agents: one Markdown + Milvus store shared across Claude Code, Codex, OpenCode and OpenClaw — hybrid search, plus repeated workflows distilled into skills. - [mesh-llm](https://stackmap.shipwithai.xyz/repos/Mesh-LLM/mesh-llm): Distributed LLM inference in Rust: pool GPUs across machines into one OpenAI-compatible endpoint — local fit first, mesh routing, and stage splits for models too large for any single box. - [MetaGPT](https://stackmap.shipwithai.xyz/repos/FoundationAgents/metagpt): The original "AI software company" multi-agent framework — role-assigned agents (PM, architect, engineer) turn a one-line requirement into PRD, design, and code. - [metatrader-mcp-server](https://stackmap.shipwithai.xyz/repos/ariadng/metatrader-mcp-server): MCP server that puts MetaTrader 5 in an LLM's hands — natural-language trading, account and market data, order management over stdio/SSE, plus REST and WebSocket quotes. 32 tools, MIT. - [mindshub](https://stackmap.shipwithai.xyz/repos/mindsdb/mindshub): MindsDB's pivot: a unified 'Cowork' workspace where you delegate whole projects — apps, research, analysis, scheduled operations — to open-source models you can swap anytime. - [MinerU](https://stackmap.shipwithai.xyz/repos/opendatalab/mineru): Heavyweight document-to-markdown/JSON parser — PDFs plus Office (docx/pptx/xlsx) through layout analysis and OCR into LLM-ready output for RAG and agentic pipelines. 73k stars, self-hostable. - [mini-swe-agent](https://stackmap.shipwithai.xyz/repos/SWE-agent/mini-swe-agent): The 100-line agent from the SWE-bench team: >74% on SWE-bench Verified with no tools but bash, no config sprawl — the reference minimal harness, adopted by Meta, NVIDIA and Ramp. - [mirage](https://stackmap.shipwithai.xyz/repos/strukto-ai/mirage): Unified virtual filesystem for AI agents — mounts S3, Slack, Gmail, Postgres and ~50 backends as one tree so any bash-speaking LLM can grep and pipe across services. Snapshotable, embeddable. - [MLX-LoRA-Studio](https://stackmap.shipwithai.xyz/repos/Goekdeniz-Guelmez/mlx-lora-studio): Native Mac app for on-device LLM fine-tuning via mlx-lm-lora: pick a model, choose SFT/LoRA/DPO-family algorithms, watch loss fall live, push to Hugging Face. No cloud, no code. - [My-Brain-Is-Full-Crew](https://stackmap.shipwithai.xyz/repos/gnekt/my-brain-is-full-crew): 8 AI agents + 14 skills that run your Obsidian vault through chat — capture, triage, search, linking, vault health, transcription, email and calendar. One codebase, four agent platforms, any language. - [n-skills](https://stackmap.shipwithai.xyz/repos/numman-ali/n-skills): Curated skill marketplace for AI coding agents on the universal SKILL.md/AGENTS.md format — write a skill once, install it into Claude Code, Codex, Copilot, Cursor and friends. - [Guardrails](https://stackmap.shipwithai.xyz/repos/NVIDIA-NeMo/nemo-guardrails): NVIDIA's programmable guardrails for LLM apps: input, output, dialog and retrieval rails defined in Colang, wrapping any model or LangChain runnable. - [npxskillui](https://stackmap.shipwithai.xyz/repos/amaancoderx/npxskillui): Reverse-engineers any design system into a Claude-ready skill via pure static analysis — no AI, no API keys: point it at your codebase, get a skill that teaches your agent your UI. - [Ollama](https://stackmap.shipwithai.xyz/repos/ollama/ollama): Run Llama, Mistral and other open models locally with a single command and a clean API. - [olmocr](https://stackmap.shipwithai.xyz/repos/allenai/olmocr): Open toolkit that linearizes messy PDFs — scans, tables, equations, handwriting — into clean ordered Markdown with a self-hosted vision-language model. Built for LLM training data and RAG ingestion. - [omnigent](https://stackmap.shipwithai.xyz/repos/omnigent-ai/omnigent): Open-source meta-harness over Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and custom agents: swap harnesses without rewriting, enforce policies and sandboxes, follow sessions from any device. - [omnigraph](https://stackmap.shipwithai.xyz/repos/ModernRelay/omnigraph): Lakehouse graph database for agent context — graph, vector and full-text retrieval fused in one runtime on branchable Lance/S3 storage; agent fleets write on isolated branches and merge Git-style. - [open-code-review](https://stackmap.shipwithai.xyz/repos/alibaba/open-code-review): Alibaba's battle-tested AI code-review CLI: deterministic pipelines + LLM agent, line-level comments, tuned rulesets (NPE, XSS, SQLi) — higher precision than general agents at ~1/9 the tokens. - [Open-LLM-VTuber](https://stackmap.shipwithai.xyz/repos/Open-LLM-VTuber/open-llm-vtuber): Hands-free voice conversation with any LLM behind a Live2D animated face — voice interruption included, running fully local and cross-platform. - [open-notebook](https://stackmap.shipwithai.xyz/repos/lfnovo/open-notebook): Self-hosted NotebookLM alternative: multi-modal sources, vector plus full-text search, context-aware chat and multi-speaker podcast generation — 18+ model providers incl. Ollama, full REST API. - [opencode-mem](https://stackmap.shipwithai.xyz/repos/tickernelz/opencode-mem): OpenCode plugin giving coding agents persistent cross-session memory — local SQLite + vector search, automatic memory capture, user-profile learning, and a web UI. Nothing leaves your machine. - [opendataloader-pdf](https://stackmap.shipwithai.xyz/repos/opendataloader-project/opendataloader-pdf): Deterministic PDF parser for AI pipelines: #1 extraction accuracy (0.907) on its public bench, bounding boxes on every element, 0.015s/page — plus the first open PDF auto-tagging for accessibility. - [OpenManus](https://stackmap.shipwithai.xyz/repos/FoundationAgents/openmanus): Open-source general autonomous agent from the MetaGPT team — the 'Manus without an invite code': browsing, tool use and multi-step task execution from a simple Python core. - [OpenResearcher](https://stackmap.shipwithai.xyz/repos/TIGER-AI-Lab/openresearcher): TIGER-AI-Lab's fully open deep-research recipe: 96K long-horizon trajectories (adopted by NVIDIA Nemotron), a 30B-A3B model hitting 54.8% BrowseComp-Plus, training code and eval harness. - [OpenSandbox](https://stackmap.shipwithai.xyz/repos/opensandbox-group/opensandbox): CNCF-landscape sandbox platform for AI agents: multi-language SDKs, unified API, CLI and MCP over Docker/Kubernetes runtimes — coding agents, GUI agents, evals and RL training. - [opensre](https://stackmap.shipwithai.xyz/repos/Tracer-Cloud/opensre): Open-source framework for AI SRE agents plus the RL training and evaluation environment they need — connect 60+ tools you already run and investigate incidents on your own infra. - [oransim](https://stackmap.shipwithai.xyz/repos/OranAi-Ltd/oransim): Open causal engine for marketing simulation: a virtual consumer society with LLM personas answers do()-style counterfactuals — rank campaign combos, swap KOLs mid-flight, replay spend. Apache-2.0. - [page-agent](https://stackmap.shipwithai.xyz/repos/alibaba/page-agent): Alibaba's in-page GUI agent: one script tag gives any webpage its own AI agent — users drive the interface in natural language. TypeScript, tiny bundle, Chrome extension available. - [paperclip](https://stackmap.shipwithai.xyz/repos/paperclipai/paperclip): Open-source control plane for running fleets of heterogeneous AI agents as a "company" — bring your own agent, assign goals, org charts, budgets, governance, and an audited ticket system. - [pdf-inspector](https://stackmap.shipwithai.xyz/repos/firecrawl/pdf-inspector): Firecrawl's Rust PDF triage: classifies text-based vs scanned in ~10-50ms, extracts positioned text and clean Markdown without OCR — routing the ~54% of PDFs that never needed a model. - [LifeOS](https://stackmap.shipwithai.xyz/repos/danielmiessler/personal_ai_infrastructure): Daniel Miessler's LifeOS: an AI 'life operating system' that carries your goals and context into every task — an intent engineering platform with dashboard, agents and installer. - [picobot](https://stackmap.shipwithai.xyz/repos/louisho5/picobot): A self-hosted personal AI agent in a single ~9MB Go binary — persistent memory, 16 tools + MCP, skills, cron/heartbeat, and Telegram/Discord/Slack/WhatsApp channels. Runs on a $5 VPS. - [PixelRAG](https://stackmap.shipwithai.xyz/repos/StarTrail-org/pixelrag): Berkeley's visual RAG: render pages and PDFs to screenshot tiles and retrieve with a VLM embedder — tables, charts and layout survive. pixelshot CLI plus a hosted 8.28M-page Wikipedia index. - [plano](https://stackmap.shipwithai.xyz/repos/katanemo/plano): AI-native Envoy-based proxy for agentic apps: agent orchestration via a 4B routing model, smart LLM routing, guardrail filter chains and zero-code OTEL traces. Rust, framework-agnostic. - [pm-skills](https://stackmap.shipwithai.xyz/repos/phuryn/pm-skills): PM Skills Marketplace: 68 skills and 42 chained workflows in 9 plugins — discovery, strategy, PRDs, launch, growth — encoding Torres/Cagan-style frameworks for Claude Code and Cowork. - [pocket-tts](https://stackmap.shipwithai.xyz/repos/kyutai-labs/pocket-tts): Kyutai's 100M-parameter CPU-only TTS — streaming audio in ~200ms, ~6× real-time on two laptop cores, voice cloning, six languages. pip install and it talks. - [ponytail](https://stackmap.shipwithai.xyz/repos/DietrichGebert/ponytail): A skill that makes your agent code like the laziest senior dev: YAGNI enforced — ~54% less code, ~20% cheaper, ~27% faster on measured Claude Code sessions. Works with 20 agents. - [PraisonAI](https://stackmap.shipwithai.xyz/repos/MervinPraison/praisonai): Low-code multi-agent framework: autonomous agents with built-in memory, RAG and MCP support across 100+ LLMs — from one agent to an 'AI workforce' in a few lines or YAML. - [pro-workflow](https://stackmap.shipwithai.xyz/repos/rohitg00/pro-workflow): One SQLite store under every Claude Code session: corrections become FTS5-searchable rules that auto-load, research grows persistent wikis, and 37 hook scripts add quality gates. - [prompt-cache-skills](https://stackmap.shipwithai.xyz/repos/OnlyTerp/prompt-cache-skills): 13 drop-in skills that fix prompt-caching bugs in OSS agent harnesses (Cline, Roo, Continue, OpenCode, Aider) — point your coding agent at the repo, it patches and verifies on the wire. - [pullfrog](https://stackmap.shipwithai.xyz/repos/pullfrog/pullfrog): Open-source, model-agnostic GitHub bot: tag @pullfrog on any issue or PR and your own coding agent (BYOK) runs the task inside GitHub Actions, context via an internal MCP server. - [Ragas](https://stackmap.shipwithai.xyz/repos/explodinggradients/ragas): Evaluation toolkit for your RAG and agent pipelines — faithfulness, relevance, and more. - [repowise](https://stackmap.shipwithai.xyz/repos/repowise-dev/repowise): Codebase intelligence for AI and humans: deterministic code-health scores calibrated on real defects, graph-aware refactoring plans agents can execute, auto-docs and git analytics over 9 MCP tools. - [rowboat](https://stackmap.shipwithai.xyz/repos/rowboatlabs/rowboat): Desktop AI coworker (YC S24) that indexes email, meetings and Slack into a living backlinked knowledge graph, then acts on it — email client, browser, meeting notes, background agents, code mode. - [ruflo](https://stackmap.shipwithai.xyz/repos/ruvnet/ruflo): ruvnet's 65k-star 'agent meta-harness': multi-agent swarms, adaptive memory and RAG layered over Claude Code, Codex and Hermes — npx ruflo, a UI beta, and a sprawling plugin ecosystem. - [sam2](https://stackmap.shipwithai.xyz/repos/facebookresearch/sam2): Meta's Segment Anything 2: promptable zero-shot segmentation for images and video with streaming memory — click and box prompts become tracked masks in real time. - [scale-agentex](https://stackmap.shipwithai.xyz/repos/scaleapi/scale-agentex): Scale AI's open agent platform: scaffold agents with a CLI, run them behind the ACP protocol with a dev UI, and graduate from sync chat to durable Temporal-backed long-running workflows. - [scout](https://stackmap.shipwithai.xyz/repos/agno-agi/scout): Company intelligence agent that navigates Slack, Drive, wiki and CRM live — no ingest/embed pipeline — and builds its own wiki + CRM as it learns your company. - [Scrapling](https://stackmap.shipwithai.xyz/repos/D4Vinci/scrapling): Adaptive Python scraping framework: selectors that relearn when sites redesign, stealth fetchers that pass Cloudflare, spiders with proxy rotation and an MCP server — request to full crawl. - [scrapy](https://stackmap.shipwithai.xyz/repos/scrapy/scrapy): The veteran Python web crawling framework: spiders, middlewares, pipelines and battle-tested scheduling — 60k+ stars and still the reference architecture for structured scraping. - [searchbox](https://stackmap.shipwithai.xyz/repos/hanxiao/searchbox): Airgapped closed-corpus QA testbed: a local Qwen agent in a Pi harness explores a .zip dataroom with grep/embeddings/rerankers under a token budget — a bed to study search as test-time compute. - [shepherd](https://stackmap.shipwithai.xyz/repos/shepherd-agents/shepherd): Runtime substrate that records agent runs as reversible, Git-like execution traces — meta-agents can observe, fork, replay and revert any run before outputs are applied or released. - [sia](https://stackmap.shipwithai.xyz/repos/hexo-ai/sia): Self-improving loop from the SIA paper: Meta, Target and Feedback agents evolve a task agent's harness AND weights against a benchmark — #1 on MLE-Bench Hard, 14x kernel speedups. - [sie](https://stackmap.shipwithai.xyz/repos/superlinked/sie): Self-hosted inference cluster for everything agents call besides the big LLM: embeddings, rerankers, OCR, NER, guardrails and small LLMs — 100+ models, one OpenAI-compatible API, K8s stack included. - [SiliconScope](https://stackmap.shipwithai.xyz/repos/kennss/siliconscope): Sudoless Apple Silicon monitor: SwiftUI dashboard plus menu-bar suite tracking ANE, Media Engine and memory bandwidth Activity Monitor won't show — with DVR-style record & replay. - [sim](https://stackmap.shipwithai.xyz/repos/simstudioai/sim): Visual workspace to build, deploy and orchestrate AI agents — 1,000+ integrations, knowledge bases, built-in tables and files, schedules and run monitoring. Self-host via npx simstudio or Docker. - [SkillForge](https://stackmap.shipwithai.xyz/repos/tripleyak/skillforge): A methodology and toolkit for engineering AI skills instead of improvising them — plus a Context Skill Advisor that proactively recommends, improves or creates skills from what you're doing. - [skillkit](https://stackmap.shipwithai.xyz/repos/rohitg00/skillkit): Package manager for AI agent skills — install from 400K+ skills across 31 sources, auto-translate between 46 agents' incompatible formats, security-scan on install, sync to every agent at once. - [SkillNet](https://stackmap.shipwithai.xyz/repos/zjunlp/skillnet): Open skill infrastructure from ZJU NLP: search a 500K+ indexed skill library, install, generate skills from repos/docs/traces, score their quality, and compose/orchestrate them. SDK + CLI + MCP. - [SkillX](https://stackmap.shipwithai.xyz/repos/zjunlp/skillx): Research framework that auto-distills agent trajectories into a three-level skill knowledge base (planning, functional, atomic) — pluggable into weaker agents and new environments. - [slime](https://stackmap.shipwithai.xyz/repos/THUDM/slime): THUDM's RL post-training framework behind the GLM releases — Megatron training plus SGLang rollouts with native arg pass-through, and pluggable reward, verifier and agentic data-generation workflows. - [squad](https://stackmap.shipwithai.xyz/repos/mco-org/squad): Multi-agent terminal collaboration for AI CLIs: a manager, workers and an inspector — Claude Code, Gemini, Codex, OpenCode — coordinating through one-shot shell commands and SQLite. No daemon. - [squid](https://stackmap.shipwithai.xyz/repos/iusztinpaul/squid): Claude Code plugin that turns a feature spec into a reviewed PR through a 5-agent pipeline — PA → SWE → Tester → PR-Reviewer → On-Call — with exactly two human gates. - [stealth-browser-mcp](https://stackmap.shipwithai.xyz/repos/vibheksoni/stealth-browser-mcp): MCP server for undetectable browser automation: real Chrome via nodriver + CDP, Cloudflare/anti-bot bypass, AI-written network hooks — agents browse where Playwright gets blocked. - [supavec](https://stackmap.shipwithai.xyz/repos/supavec/supavec): Open-source RAG-as-a-service (the Carbon.ai alternative): upload any data source, get vector search and a chat API in minutes — Supabase-based, multi-tenant with RLS, streaming responses. - [superserve](https://stackmap.shipwithai.xyz/repos/superserve-ai/superserve): Persistent, secure sandboxes for AI agents on Firecracker microVMs — TypeScript and Python SDKs, CLI and console; the runtime is a hosted service, the SDK stack is Apache-2.0. - [supervision](https://stackmap.shipwithai.xyz/repos/roboflow/supervision): Roboflow's reusable computer-vision toolkit: one Detections API over any model (YOLO, SAM, transformers), 20+ annotators, zone counting, tracking and dataset tools. 48k stars, MIT. - [SurfSense](https://stackmap.shipwithai.xyz/repos/MODSetter/surfsense): Open-source competitive-intelligence platform for agents: live Reddit/YouTube/TikTok/Maps/search connectors; scheduled agents produce briefs and alerts into a cited knowledge base. REST + MCP. - [tailclaude](https://stackmap.shipwithai.xyz/repos/rohitg00/tailclaude): Claude Code from any browser via your Tailscale tailnet — streaming chat UI, session history, model switching and cost dashboards; no SSH, no terminal. - [Telegram-Drive](https://stackmap.shipwithai.xyz/repos/caamer20/telegram-drive): Tauri/Rust desktop app that turns your Telegram account into unlimited cloud storage — file-explorer UI over channels, media streaming, share links, and a local REST API for LLM/tool integration. - [three-man-team](https://stackmap.shipwithai.xyz/repos/russelleNVy/three-man-team): A disciplined 3-agent dev process as context files — Architect plans, Builder builds the brief, Reviewer gates — running in one Claude Code session via subagents. Token-frugal by design. - [tokensave](https://stackmap.shipwithai.xyz/repos/aovestdipaperino/tokensave): Code-intelligence MCP server for coding agents — a pre-indexed semantic graph (libSQL + FTS5) they query instead of grepping: symbols, callers, impact radius in one call. 100% local, 50+ languages. - [train-llm-from-scratch](https://stackmap.shipwithai.xyz/repos/FareedKhan-dev/train-llm-from-scratch): The full LLM pipeline hand-written in plain PyTorch — tokens, transformer, pretraining, then SFT, reward model, PPO, DPO, GRPO. No trl, no peft: read every algorithm, train on one GPU. - [trl](https://stackmap.shipwithai.xyz/repos/huggingface/trl): Hugging Face's post-training library: SFT, DPO, GRPO, KTO and reward-model trainers on top of Transformers — from a Colab LoRA run to multi-GPU deployments. - [ultralytics](https://stackmap.shipwithai.xyz/repos/ultralytics/ultralytics): Ultralytics YOLO (v8→26): real-time object detection, segmentation, classification, pose and tracking behind one Python/CLI API — train, validate and export to ONNX/TensorRT/CoreML. - [Understand-Anything](https://stackmap.shipwithai.xyz/repos/Egonex-AI/understand-anything): Plugin for Claude Code and 16 other hosts that turns any codebase into an interactive knowledge graph — multi-agent analysis, layered dashboard, guided tours, diff-impact view, domain mapping. - [Unlimited-OCR](https://stackmap.shipwithai.xyz/repos/baidu/unlimited-ocr): Baidu's open OCR VLM that parses entire multi-page documents in one shot — 'unlimited' long-horizon parsing pushing DeepSeek-OCR further. MIT weights on HF; serve via transformers, vLLM or SGLang. - [verl](https://stackmap.shipwithai.xyz/repos/verl-project/verl): ByteDance's RL post-training library (HybridFlow): PPO/GRPO dataflows in a few lines, FSDP/Megatron training with vLLM/SGLang rollouts, production-proven at frontier scale. - [Vibe-Trading](https://stackmap.shipwithai.xyz/repos/HKUDS/vibe-trading): HKUDS' personal trading agent: one command gives your agent market data, analysis and trading capability, with a shadow-account mode, API and MCP surface. - [video-spec-builder](https://stackmap.shipwithai.xyz/repos/feicaiclub/video-spec-builder): A director-skill for Claude Code/Codex: interrogates your vague video idea until it's a second-by-second storyboard spec (video-spec.md), ready for HyperFrames to render. - [VideoAgent](https://stackmap.shipwithai.xyz/repos/HKUDS/videoagent): All-in-one agentic framework for video: understanding and summarization, clip editing, and generative remaking, driven end-to-end through natural-language conversation. - [ViMax](https://stackmap.shipwithai.xyz/repos/HKUDS/vimax): HKUDS multi-agent video studio: turns an idea, novel or screenplay into a finished film — scriptwriting, storyboards, consistent characters, then rendering via Seedance/Nano Banana/Omni APIs. - [vLLM](https://stackmap.shipwithai.xyz/repos/vllm-project/vllm): High-throughput, memory-efficient inference and serving engine for LLMs. - [voicebox](https://stackmap.shipwithai.xyz/repos/jamiepine/voicebox): Local-first AI voice studio: clone voices, generate speech via 7 TTS engines in 23 languages, dictate system-wide with Whisper, and give any MCP-aware agent a cloned voice. Tauri, MLX/CUDA. - [WrenAI](https://stackmap.shipwithai.xyz/repos/Canner/wrenai): Open-source GenBI engine: agents write governed SQL and deploy shareable dashboards over 22+ data sources, grounded in a Git-friendly context layer (MDL semantics, definitions, memory). - [xberg](https://stackmap.shipwithai.xyz/repos/xberg-io/xberg): Rust-core document-intelligence engine with 15 language bindings: turns 96 formats — PDF, Office, images, audio, code — into clean text, tables and RAG-ready chunks. Library, CLI, REST or MCP. - [zvec](https://stackmap.shipwithai.xyz/repos/alibaba/zvec): Alibaba's open-source in-process vector database: billion-scale similarity search embedded in your app, with DiskANN on-disk indexing, native full-text search and hybrid retrieval. ## Topics - [Agents](https://stackmap.shipwithai.xyz/topics/agents): Frameworks for building autonomous and multi-agent LLM systems. (55 repos) - [Coding Agents](https://stackmap.shipwithai.xyz/topics/coding): Plugins, skill layers and runtimes for agentic coding assistants like Claude Code and Codex. (54 repos) - [Evals & Testing](https://stackmap.shipwithai.xyz/topics/evals): Measure and monitor LLM/agent output quality. (9 repos) - [Finance](https://stackmap.shipwithai.xyz/topics/finance): Trading, markets and financial analysis — agents with money on the line. (4 repos) - [Gateway](https://stackmap.shipwithai.xyz/topics/gateway): LLM gateways and routers — a proxy between clients or agents and model providers for fallback, multi-provider access, cost control and token savings. (8 repos) - [Local / Inference](https://stackmap.shipwithai.xyz/topics/local): Run and serve open models on your own hardware. (26 repos) - [Memory](https://stackmap.shipwithai.xyz/topics/memory): Persistent memory for AI systems — from vector recall to compounding agent lessons. (19 repos) - [OCR](https://stackmap.shipwithai.xyz/topics/ocr): Turn documents, scans and PDFs into LLM-ready text — OCR and document-parsing models and pipelines. (9 repos) - [Orchestration](https://stackmap.shipwithai.xyz/topics/orchestration): Compose and control multi-step LLM pipelines. (23 repos) - [RAG & Retrieval](https://stackmap.shipwithai.xyz/topics/rag): Connect LLMs to your data — ingestion, indexing, retrieval. (25 repos) - [Security](https://stackmap.shipwithai.xyz/topics/security): AI for offensive and defensive security — pentest agents, vuln scanning, secure-code review. (8 repos) - [Skills](https://stackmap.shipwithai.xyz/topics/skills): Portable skill packs for coding agents — authoring, packaging, distribution and management. (31 repos) - [Storage](https://stackmap.shipwithai.xyz/topics/storage): Self-hosted drives and file backends — storage apps and infrastructure your agents and apps can use. (4 repos) - [Training](https://stackmap.shipwithai.xyz/topics/training): Post-training and RL infrastructure for open models — fine-tuning, alignment, reward loops. (12 repos) - [Vision](https://stackmap.shipwithai.xyz/topics/vision): Computer vision models and pipelines — recognition, detection and image understanding beyond documents. (8 repos) - [Voice](https://stackmap.shipwithai.xyz/topics/voice): Speech in and out — text-to-speech, voice cloning and speech-to-text models and apps. (6 repos) - [Web](https://stackmap.shipwithai.xyz/topics/web): Browse, crawl and scrape the web — data acquisition for agents, RAG and pipelines. (14 repos) ## Alternatives pages - [9router alternatives](https://stackmap.shipwithai.xyz/alternatives/9router) - [aaron-marketing-skills alternatives](https://stackmap.shipwithai.xyz/alternatives/aaron-marketing-skills) - [abtop alternatives](https://stackmap.shipwithai.xyz/alternatives/abtop) - [Adala alternatives](https://stackmap.shipwithai.xyz/alternatives/adala) - [agentfield alternatives](https://stackmap.shipwithai.xyz/alternatives/agentfield) - [agentic-context-engine alternatives](https://stackmap.shipwithai.xyz/alternatives/agentic-context-engine) - [agents-cli alternatives](https://stackmap.shipwithai.xyz/alternatives/agents-cli) - [ai-marketing-claude alternatives](https://stackmap.shipwithai.xyz/alternatives/ai-marketing-claude) - [ai-token-monitor alternatives](https://stackmap.shipwithai.xyz/alternatives/ai-token-monitor) - [airllm alternatives](https://stackmap.shipwithai.xyz/alternatives/airllm) - [allama alternatives](https://stackmap.shipwithai.xyz/alternatives/allama) - 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[WrenAI alternatives](https://stackmap.shipwithai.xyz/alternatives/wrenai) - [xberg alternatives](https://stackmap.shipwithai.xyz/alternatives/xberg) - [zvec alternatives](https://stackmap.shipwithai.xyz/alternatives/zvec) ## Comparisons - [9router vs CLIProxyAPI](https://stackmap.shipwithai.xyz/compare/9router-vs-cliproxyapi) - [9router vs codexmate](https://stackmap.shipwithai.xyz/compare/9router-vs-codexmate) - [9router vs free-claude-code](https://stackmap.shipwithai.xyz/compare/9router-vs-free-claude-code) - [9router vs freellmapi](https://stackmap.shipwithai.xyz/compare/9router-vs-freellmapi) - [9router vs headroom](https://stackmap.shipwithai.xyz/compare/9router-vs-headroom) - [9router vs litellm](https://stackmap.shipwithai.xyz/compare/9router-vs-litellm) - [9router vs Lynkr](https://stackmap.shipwithai.xyz/compare/9router-vs-lynkr) - [aaron-marketing-skills vs ai-marketing-claude](https://stackmap.shipwithai.xyz/compare/aaron-marketing-skills-vs-ai-marketing-claude) - [aaron-marketing-skills vs claude-ads](https://stackmap.shipwithai.xyz/compare/aaron-marketing-skills-vs-claude-ads) - [aaron-marketing-skills vs pm-skills](https://stackmap.shipwithai.xyz/compare/aaron-marketing-skills-vs-pm-skills) - [abtop vs ai-token-monitor](https://stackmap.shipwithai.xyz/compare/abtop-vs-ai-token-monitor) - [abtop vs cc-lens](https://stackmap.shipwithai.xyz/compare/abtop-vs-cc-lens) - [Adala vs DataFlow](https://stackmap.shipwithai.xyz/compare/adala-vs-dataflow) - [agentfield vs LangGraph](https://stackmap.shipwithai.xyz/compare/agentfield-vs-langgraph) - [agentfield vs paperclip](https://stackmap.shipwithai.xyz/compare/agentfield-vs-paperclip) - [agentfield vs plano](https://stackmap.shipwithai.xyz/compare/agentfield-vs-plano) - [agentfield vs scale-agentex](https://stackmap.shipwithai.xyz/compare/agentfield-vs-scale-agentex) - [agentfield vs sim](https://stackmap.shipwithai.xyz/compare/agentfield-vs-sim) - [agentic-context-engine vs claude-reflect](https://stackmap.shipwithai.xyz/compare/agentic-context-engine-vs-claude-reflect) - [agentic-context-engine vs hindsight](https://stackmap.shipwithai.xyz/compare/agentic-context-engine-vs-hindsight) - [agentic-context-engine vs hivemind](https://stackmap.shipwithai.xyz/compare/agentic-context-engine-vs-hivemind) - [agents-cli vs LangGraph](https://stackmap.shipwithai.xyz/compare/agents-cli-vs-langgraph) - [agents-cli vs Ragas](https://stackmap.shipwithai.xyz/compare/agents-cli-vs-ragas) - [agents-cli vs squid](https://stackmap.shipwithai.xyz/compare/agents-cli-vs-squid) - [ai-marketing-claude vs designer-skills](https://stackmap.shipwithai.xyz/compare/ai-marketing-claude-vs-designer-skills) - [ai-token-monitor vs cc-lens](https://stackmap.shipwithai.xyz/compare/ai-token-monitor-vs-cc-lens) - [ai-token-monitor vs claude-code-karma](https://stackmap.shipwithai.xyz/compare/ai-token-monitor-vs-claude-code-karma) - [airllm vs colibri](https://stackmap.shipwithai.xyz/compare/airllm-vs-colibri) - [airllm vs mesh-llm](https://stackmap.shipwithai.xyz/compare/airllm-vs-mesh-llm) - [airllm vs Ollama](https://stackmap.shipwithai.xyz/compare/airllm-vs-ollama) - [airllm vs vLLM](https://stackmap.shipwithai.xyz/compare/airllm-vs-vllm) - [allama vs bytechef](https://stackmap.shipwithai.xyz/compare/allama-vs-bytechef) - [allama vs opensre](https://stackmap.shipwithai.xyz/compare/allama-vs-opensre) - [alook vs Auto-Company](https://stackmap.shipwithai.xyz/compare/alook-vs-auto-company) - [alook vs CodeNomad](https://stackmap.shipwithai.xyz/compare/alook-vs-codenomad) - [alook vs contrabass](https://stackmap.shipwithai.xyz/compare/alook-vs-contrabass) - [alook vs core](https://stackmap.shipwithai.xyz/compare/alook-vs-core) - [alook vs Fusion](https://stackmap.shipwithai.xyz/compare/alook-vs-fusion) - [alook vs paperclip](https://stackmap.shipwithai.xyz/compare/alook-vs-paperclip) - [alook vs ruflo](https://stackmap.shipwithai.xyz/compare/alook-vs-ruflo) - [alook vs squad](https://stackmap.shipwithai.xyz/compare/alook-vs-squad) - [apm vs asm](https://stackmap.shipwithai.xyz/compare/apm-vs-asm) - [apm vs ECC](https://stackmap.shipwithai.xyz/compare/apm-vs-ecc) - [apm vs skillkit](https://stackmap.shipwithai.xyz/compare/apm-vs-skillkit) - [asm vs autoskills](https://stackmap.shipwithai.xyz/compare/asm-vs-autoskills) - [asm vs n-skills](https://stackmap.shipwithai.xyz/compare/asm-vs-n-skills) - [asm vs skillkit](https://stackmap.shipwithai.xyz/compare/asm-vs-skillkit) - [asm vs SkillNet](https://stackmap.shipwithai.xyz/compare/asm-vs-skillnet) - [Auto-Company vs Fusion](https://stackmap.shipwithai.xyz/compare/auto-company-vs-fusion) - [Auto-Company vs ruflo](https://stackmap.shipwithai.xyz/compare/auto-company-vs-ruflo) - [AutoGen vs council-of-high-intelligence](https://stackmap.shipwithai.xyz/compare/autogen-vs-council-of-high-intelligence) - [AutoGen vs CrewAI](https://stackmap.shipwithai.xyz/compare/autogen-vs-crewai) - [AutoGen vs deepagents](https://stackmap.shipwithai.xyz/compare/autogen-vs-deepagents) - [AutoGen vs MetaGPT](https://stackmap.shipwithai.xyz/compare/autogen-vs-metagpt) - [AutoGen vs paperclip](https://stackmap.shipwithai.xyz/compare/autogen-vs-paperclip) - [AutoGen vs PraisonAI](https://stackmap.shipwithai.xyz/compare/autogen-vs-praisonai) - [AutoHedge vs Vibe-Trading](https://stackmap.shipwithai.xyz/compare/autohedge-vs-vibe-trading) - [autoresearch vs evo](https://stackmap.shipwithai.xyz/compare/autoresearch-vs-evo) - [autoresearch vs loop-engineering](https://stackmap.shipwithai.xyz/compare/autoresearch-vs-loop-engineering) - [autoresearch vs loopy](https://stackmap.shipwithai.xyz/compare/autoresearch-vs-loopy) - [autoresearch vs sia](https://stackmap.shipwithai.xyz/compare/autoresearch-vs-sia) - [autoscraper vs crawlee](https://stackmap.shipwithai.xyz/compare/autoscraper-vs-crawlee) - [autoscraper vs Scrapling](https://stackmap.shipwithai.xyz/compare/autoscraper-vs-scrapling) - [autoskills vs n-skills](https://stackmap.shipwithai.xyz/compare/autoskills-vs-n-skills) - [autoskills vs skillkit](https://stackmap.shipwithai.xyz/compare/autoskills-vs-skillkit) - [bemyagent vs loop-engineering](https://stackmap.shipwithai.xyz/compare/bemyagent-vs-loop-engineering) - [bemyagent vs squid](https://stackmap.shipwithai.xyz/compare/bemyagent-vs-squid) - [bemyagent vs three-man-team](https://stackmap.shipwithai.xyz/compare/bemyagent-vs-three-man-team) - [browser-harness-js vs browser-use](https://stackmap.shipwithai.xyz/compare/browser-harness-js-vs-browser-use) - [browser-harness-js vs stealth-browser-mcp](https://stackmap.shipwithai.xyz/compare/browser-harness-js-vs-stealth-browser-mcp) - [browser-use vs BrowserOS](https://stackmap.shipwithai.xyz/compare/browser-use-vs-browseros) - [browser-use vs page-agent](https://stackmap.shipwithai.xyz/compare/browser-use-vs-page-agent) - [browser-use vs stealth-browser-mcp](https://stackmap.shipwithai.xyz/compare/browser-use-vs-stealth-browser-mcp) - [bytechef vs MaxKB](https://stackmap.shipwithai.xyz/compare/bytechef-vs-maxkb) - [bytechef vs sim](https://stackmap.shipwithai.xyz/compare/bytechef-vs-sim) - [cc-lens vs claude-code-karma](https://stackmap.shipwithai.xyz/compare/cc-lens-vs-claude-code-karma) - [cc-thinking-skills vs council-of-high-intelligence](https://stackmap.shipwithai.xyz/compare/cc-thinking-skills-vs-council-of-high-intelligence) - [chandra vs chunkr](https://stackmap.shipwithai.xyz/compare/chandra-vs-chunkr) - [chandra vs MinerU](https://stackmap.shipwithai.xyz/compare/chandra-vs-mineru) - [chandra vs olmocr](https://stackmap.shipwithai.xyz/compare/chandra-vs-olmocr) - [chandra vs Unlimited-OCR](https://stackmap.shipwithai.xyz/compare/chandra-vs-unlimited-ocr) - [Chroma vs MemMachine](https://stackmap.shipwithai.xyz/compare/chroma-vs-memmachine) - [Chroma vs omnigraph](https://stackmap.shipwithai.xyz/compare/chroma-vs-omnigraph) - [Chroma vs supavec](https://stackmap.shipwithai.xyz/compare/chroma-vs-supavec) - [Chroma vs zvec](https://stackmap.shipwithai.xyz/compare/chroma-vs-zvec) - [chunkr vs MinerU](https://stackmap.shipwithai.xyz/compare/chunkr-vs-mineru) - [chunkr vs olmocr](https://stackmap.shipwithai.xyz/compare/chunkr-vs-olmocr) - [claude-reflect vs core](https://stackmap.shipwithai.xyz/compare/claude-reflect-vs-core) - [claude-reflect vs ECC](https://stackmap.shipwithai.xyz/compare/claude-reflect-vs-ecc) - [claude-reflect vs memsearch](https://stackmap.shipwithai.xyz/compare/claude-reflect-vs-memsearch) - [claude-reflect vs opencode-mem](https://stackmap.shipwithai.xyz/compare/claude-reflect-vs-opencode-mem) - [claude-reflect vs pro-workflow](https://stackmap.shipwithai.xyz/compare/claude-reflect-vs-pro-workflow) - [claude-reflect vs SkillX](https://stackmap.shipwithai.xyz/compare/claude-reflect-vs-skillx) - [CLIProxyAPI vs Lynkr](https://stackmap.shipwithai.xyz/compare/cliproxyapi-vs-lynkr) - [cocoindex vs LlamaIndex](https://stackmap.shipwithai.xyz/compare/cocoindex-vs-llamaindex) - [cocoindex vs tokensave](https://stackmap.shipwithai.xyz/compare/cocoindex-vs-tokensave) - [cocoindex-code vs codebase-memory-mcp](https://stackmap.shipwithai.xyz/compare/cocoindex-code-vs-codebase-memory-mcp) - [cocoindex-code vs codegraph-mcp](https://stackmap.shipwithai.xyz/compare/cocoindex-code-vs-codegraph-mcp) - [cocoindex-code vs tokensave](https://stackmap.shipwithai.xyz/compare/cocoindex-code-vs-tokensave) - [code-review-graph vs codebase-memory-mcp](https://stackmap.shipwithai.xyz/compare/code-review-graph-vs-codebase-memory-mcp) - [code-review-graph vs codeflow](https://stackmap.shipwithai.xyz/compare/code-review-graph-vs-codeflow) - [code-review-graph vs codegraph-mcp](https://stackmap.shipwithai.xyz/compare/code-review-graph-vs-codegraph-mcp) - [code-review-graph vs repowise](https://stackmap.shipwithai.xyz/compare/code-review-graph-vs-repowise) - [code-review-graph vs Understand-Anything](https://stackmap.shipwithai.xyz/compare/code-review-graph-vs-understand-anything) - [codebase-memory-mcp vs tokensave](https://stackmap.shipwithai.xyz/compare/codebase-memory-mcp-vs-tokensave) - [codeflow vs codegraph-mcp](https://stackmap.shipwithai.xyz/compare/codeflow-vs-codegraph-mcp) - [codeflow vs repowise](https://stackmap.shipwithai.xyz/compare/codeflow-vs-repowise) - [codegraph-mcp vs repowise](https://stackmap.shipwithai.xyz/compare/codegraph-mcp-vs-repowise) - [codegraph-mcp vs tokensave](https://stackmap.shipwithai.xyz/compare/codegraph-mcp-vs-tokensave) - [codegraph-mcp vs Understand-Anything](https://stackmap.shipwithai.xyz/compare/codegraph-mcp-vs-understand-anything) - [CodeNomad vs codexmate](https://stackmap.shipwithai.xyz/compare/codenomad-vs-codexmate) - [CodeNomad vs helmor](https://stackmap.shipwithai.xyz/compare/codenomad-vs-helmor) - [CodeNomad vs omnigent](https://stackmap.shipwithai.xyz/compare/codenomad-vs-omnigent) - [CodeNomad vs tailclaude](https://stackmap.shipwithai.xyz/compare/codenomad-vs-tailclaude) - [colibri vs mesh-llm](https://stackmap.shipwithai.xyz/compare/colibri-vs-mesh-llm) - [colibri vs Ollama](https://stackmap.shipwithai.xyz/compare/colibri-vs-ollama) - [contrabass vs fabro](https://stackmap.shipwithai.xyz/compare/contrabass-vs-fabro) - [contrabass vs Fusion](https://stackmap.shipwithai.xyz/compare/contrabass-vs-fusion) - [contrabass vs helmor](https://stackmap.shipwithai.xyz/compare/contrabass-vs-helmor) - [contrabass vs pullfrog](https://stackmap.shipwithai.xyz/compare/contrabass-vs-pullfrog) - [contrabass vs squad](https://stackmap.shipwithai.xyz/compare/contrabass-vs-squad) - [core vs exxperts](https://stackmap.shipwithai.xyz/compare/core-vs-exxperts) - [core vs My-Brain-Is-Full-Crew](https://stackmap.shipwithai.xyz/compare/core-vs-my-brain-is-full-crew) - [core vs paperclip](https://stackmap.shipwithai.xyz/compare/core-vs-paperclip) - [core vs LifeOS](https://stackmap.shipwithai.xyz/compare/core-vs-personal_ai_infrastructure) - [core vs picobot](https://stackmap.shipwithai.xyz/compare/core-vs-picobot) - [core vs rowboat](https://stackmap.shipwithai.xyz/compare/core-vs-rowboat) - [crawl4ai vs crawlee](https://stackmap.shipwithai.xyz/compare/crawl4ai-vs-crawlee) - [crawl4ai vs Scrapling](https://stackmap.shipwithai.xyz/compare/crawl4ai-vs-scrapling) - [crawlee vs Scrapling](https://stackmap.shipwithai.xyz/compare/crawlee-vs-scrapling) - [crawlee vs scrapy](https://stackmap.shipwithai.xyz/compare/crawlee-vs-scrapy) - [CrewAI vs deepagents](https://stackmap.shipwithai.xyz/compare/crewai-vs-deepagents) - [CrewAI vs LangGraph](https://stackmap.shipwithai.xyz/compare/crewai-vs-langgraph) - [CrewAI vs MetaGPT](https://stackmap.shipwithai.xyz/compare/crewai-vs-metagpt) - [CrewAI vs paperclip](https://stackmap.shipwithai.xyz/compare/crewai-vs-paperclip) - [CrewAI vs PraisonAI](https://stackmap.shipwithai.xyz/compare/crewai-vs-praisonai) - [CrewAI vs scale-agentex](https://stackmap.shipwithai.xyz/compare/crewai-vs-scale-agentex) - [CubeSandbox vs forkd](https://stackmap.shipwithai.xyz/compare/cubesandbox-vs-forkd) - [CubeSandbox vs OpenSandbox](https://stackmap.shipwithai.xyz/compare/cubesandbox-vs-opensandbox) - [CubeSandbox vs superserve](https://stackmap.shipwithai.xyz/compare/cubesandbox-vs-superserve) - [cwc-long-running-agents vs govctl](https://stackmap.shipwithai.xyz/compare/cwc-long-running-agents-vs-govctl) - [cwc-long-running-agents vs loop-engineering](https://stackmap.shipwithai.xyz/compare/cwc-long-running-agents-vs-loop-engineering) - [cwc-long-running-agents vs loopy](https://stackmap.shipwithai.xyz/compare/cwc-long-running-agents-vs-loopy) - [deepagents vs OpenManus](https://stackmap.shipwithai.xyz/compare/deepagents-vs-openmanus) - [DeepDive vs OpenResearcher](https://stackmap.shipwithai.xyz/compare/deepdive-vs-openresearcher) - [deepeval vs giskard-oss](https://stackmap.shipwithai.xyz/compare/deepeval-vs-giskard-oss) - [deepeval vs Ragas](https://stackmap.shipwithai.xyz/compare/deepeval-vs-ragas) - [deepteam vs garak](https://stackmap.shipwithai.xyz/compare/deepteam-vs-garak) - [deepteam vs giskard-oss](https://stackmap.shipwithai.xyz/compare/deepteam-vs-giskard-oss) - [designer-skills vs html-anything](https://stackmap.shipwithai.xyz/compare/designer-skills-vs-html-anything) - [designer-skills vs Kami](https://stackmap.shipwithai.xyz/compare/designer-skills-vs-kami) - [designer-skills vs pm-skills](https://stackmap.shipwithai.xyz/compare/designer-skills-vs-pm-skills) - [DSPy vs LangGraph](https://stackmap.shipwithai.xyz/compare/dspy-vs-langgraph) - [ECC vs ponytail](https://stackmap.shipwithai.xyz/compare/ecc-vs-ponytail) - [ECC vs pro-workflow](https://stackmap.shipwithai.xyz/compare/ecc-vs-pro-workflow) - [evo vs sia](https://stackmap.shipwithai.xyz/compare/evo-vs-sia) - [fabro vs squad](https://stackmap.shipwithai.xyz/compare/fabro-vs-squad) - [free-claude-code vs freellmapi](https://stackmap.shipwithai.xyz/compare/free-claude-code-vs-freellmapi) - [freellmapi vs litellm](https://stackmap.shipwithai.xyz/compare/freellmapi-vs-litellm) - [freellmapi vs Lynkr](https://stackmap.shipwithai.xyz/compare/freellmapi-vs-lynkr) - [Fusion vs helmor](https://stackmap.shipwithai.xyz/compare/fusion-vs-helmor) - [garak vs giskard-oss](https://stackmap.shipwithai.xyz/compare/garak-vs-giskard-oss) - [giskard-oss vs Ragas](https://stackmap.shipwithai.xyz/compare/giskard-oss-vs-ragas) - [h2o-llmstudio vs LlamaFactory](https://stackmap.shipwithai.xyz/compare/h2o-llmstudio-vs-llamafactory) - [h2o-llmstudio vs MLX-LoRA-Studio](https://stackmap.shipwithai.xyz/compare/h2o-llmstudio-vs-mlx-lora-studio) - [h2o-llmstudio vs slime](https://stackmap.shipwithai.xyz/compare/h2o-llmstudio-vs-slime) - [h2o-llmstudio vs trl](https://stackmap.shipwithai.xyz/compare/h2o-llmstudio-vs-trl) - [Handy vs meetily](https://stackmap.shipwithai.xyz/compare/handy-vs-meetily) - [Handy vs voicebox](https://stackmap.shipwithai.xyz/compare/handy-vs-voicebox) - [helmor vs omnigent](https://stackmap.shipwithai.xyz/compare/helmor-vs-omnigent) - [hindsight vs LightMem](https://stackmap.shipwithai.xyz/compare/hindsight-vs-lightmem) - [hindsight vs MemMachine](https://stackmap.shipwithai.xyz/compare/hindsight-vs-memmachine) - [hivemind vs memsearch](https://stackmap.shipwithai.xyz/compare/hivemind-vs-memsearch) - [Horizon vs SurfSense](https://stackmap.shipwithai.xyz/compare/horizon-vs-surfsense) - [karakeep vs open-notebook](https://stackmap.shipwithai.xyz/compare/karakeep-vs-open-notebook) - [karakeep vs Telegram-Drive](https://stackmap.shipwithai.xyz/compare/karakeep-vs-telegram-drive) - [ktx vs mirage](https://stackmap.shipwithai.xyz/compare/ktx-vs-mirage) - [ktx vs scout](https://stackmap.shipwithai.xyz/compare/ktx-vs-scout) - [ktx vs WrenAI](https://stackmap.shipwithai.xyz/compare/ktx-vs-wrenai) - [LangGraph vs MetaGPT](https://stackmap.shipwithai.xyz/compare/langgraph-vs-metagpt) - [last30days-skill vs SurfSense](https://stackmap.shipwithai.xyz/compare/last30days-skill-vs-surfsense) - [LightMem vs MemMachine](https://stackmap.shipwithai.xyz/compare/lightmem-vs-memmachine) - [LightMem vs memory-os](https://stackmap.shipwithai.xyz/compare/lightmem-vs-memory-os) - [litellm vs plano](https://stackmap.shipwithai.xyz/compare/litellm-vs-plano) - [LlamaFactory vs MLX-LoRA-Studio](https://stackmap.shipwithai.xyz/compare/llamafactory-vs-mlx-lora-studio) - [LlamaFactory vs trl](https://stackmap.shipwithai.xyz/compare/llamafactory-vs-trl) - [LlamaIndex vs searchbox](https://stackmap.shipwithai.xyz/compare/llamaindex-vs-searchbox) - [llm-d vs mesh-llm](https://stackmap.shipwithai.xyz/compare/llm-d-vs-mesh-llm) - [llm-d vs Ollama](https://stackmap.shipwithai.xyz/compare/llm-d-vs-ollama) - [loop-engineering vs loopy](https://stackmap.shipwithai.xyz/compare/loop-engineering-vs-loopy) - [LuxTTS vs pocket-tts](https://stackmap.shipwithai.xyz/compare/luxtts-vs-pocket-tts) - [MaxKB vs supavec](https://stackmap.shipwithai.xyz/compare/maxkb-vs-supavec) - [meetily vs rowboat](https://stackmap.shipwithai.xyz/compare/meetily-vs-rowboat) - [memanto vs MemMolt](https://stackmap.shipwithai.xyz/compare/memanto-vs-memmolt) - [memanto vs memsearch](https://stackmap.shipwithai.xyz/compare/memanto-vs-memsearch) - [MemMachine vs MemMolt](https://stackmap.shipwithai.xyz/compare/memmachine-vs-memmolt) - [MemMachine vs memory-os](https://stackmap.shipwithai.xyz/compare/memmachine-vs-memory-os) - [MemMolt vs memsearch](https://stackmap.shipwithai.xyz/compare/memmolt-vs-memsearch) - [MemMolt vs opencode-mem](https://stackmap.shipwithai.xyz/compare/memmolt-vs-opencode-mem) - [memsearch vs opencode-mem](https://stackmap.shipwithai.xyz/compare/memsearch-vs-opencode-mem) - [mesh-llm vs Ollama](https://stackmap.shipwithai.xyz/compare/mesh-llm-vs-ollama) - [metatrader-mcp-server vs Vibe-Trading](https://stackmap.shipwithai.xyz/compare/metatrader-mcp-server-vs-vibe-trading) - [mindshub vs OpenManus](https://stackmap.shipwithai.xyz/compare/mindshub-vs-openmanus) - [MinerU vs olmocr](https://stackmap.shipwithai.xyz/compare/mineru-vs-olmocr) - [MinerU vs opendataloader-pdf](https://stackmap.shipwithai.xyz/compare/mineru-vs-opendataloader-pdf) - [MinerU vs pdf-inspector](https://stackmap.shipwithai.xyz/compare/mineru-vs-pdf-inspector) - [MinerU vs PixelRAG](https://stackmap.shipwithai.xyz/compare/mineru-vs-pixelrag) - [MinerU vs Unlimited-OCR](https://stackmap.shipwithai.xyz/compare/mineru-vs-unlimited-ocr) - [MinerU vs xberg](https://stackmap.shipwithai.xyz/compare/mineru-vs-xberg) - [mini-swe-agent vs OpenManus](https://stackmap.shipwithai.xyz/compare/mini-swe-agent-vs-openmanus) - [My-Brain-Is-Full-Crew vs LifeOS](https://stackmap.shipwithai.xyz/compare/my-brain-is-full-crew-vs-personal_ai_infrastructure) - [My-Brain-Is-Full-Crew vs rowboat](https://stackmap.shipwithai.xyz/compare/my-brain-is-full-crew-vs-rowboat) - [n-skills vs skillkit](https://stackmap.shipwithai.xyz/compare/n-skills-vs-skillkit) - [n-skills vs SkillNet](https://stackmap.shipwithai.xyz/compare/n-skills-vs-skillnet) - [Guardrails vs plano](https://stackmap.shipwithai.xyz/compare/nemo-guardrails-vs-plano) - [Ollama vs sie](https://stackmap.shipwithai.xyz/compare/ollama-vs-sie) - [Ollama vs vLLM](https://stackmap.shipwithai.xyz/compare/ollama-vs-vllm) - [olmocr vs PixelRAG](https://stackmap.shipwithai.xyz/compare/olmocr-vs-pixelrag) - [olmocr vs Unlimited-OCR](https://stackmap.shipwithai.xyz/compare/olmocr-vs-unlimited-ocr) - [olmocr vs xberg](https://stackmap.shipwithai.xyz/compare/olmocr-vs-xberg) - [omnigent vs squad](https://stackmap.shipwithai.xyz/compare/omnigent-vs-squad) - [omnigent vs tailclaude](https://stackmap.shipwithai.xyz/compare/omnigent-vs-tailclaude) - [open-code-review vs pullfrog](https://stackmap.shipwithai.xyz/compare/open-code-review-vs-pullfrog) - [opencode-mem vs pro-workflow](https://stackmap.shipwithai.xyz/compare/opencode-mem-vs-pro-workflow) - [opendataloader-pdf vs pdf-inspector](https://stackmap.shipwithai.xyz/compare/opendataloader-pdf-vs-pdf-inspector) - [pdf-inspector vs xberg](https://stackmap.shipwithai.xyz/compare/pdf-inspector-vs-xberg) - [pocket-tts vs voicebox](https://stackmap.shipwithai.xyz/compare/pocket-tts-vs-voicebox) - [pullfrog vs squid](https://stackmap.shipwithai.xyz/compare/pullfrog-vs-squid) - [repowise vs tokensave](https://stackmap.shipwithai.xyz/compare/repowise-vs-tokensave) - [repowise vs Understand-Anything](https://stackmap.shipwithai.xyz/compare/repowise-vs-understand-anything) - [scout vs WrenAI](https://stackmap.shipwithai.xyz/compare/scout-vs-wrenai) - [Scrapling vs scrapy](https://stackmap.shipwithai.xyz/compare/scrapling-vs-scrapy) - [Scrapling vs stealth-browser-mcp](https://stackmap.shipwithai.xyz/compare/scrapling-vs-stealth-browser-mcp) - [sie vs vLLM](https://stackmap.shipwithai.xyz/compare/sie-vs-vllm) - [SkillForge vs SkillX](https://stackmap.shipwithai.xyz/compare/skillforge-vs-skillx) - [skillkit vs SkillNet](https://stackmap.shipwithai.xyz/compare/skillkit-vs-skillnet) - [slime vs trl](https://stackmap.shipwithai.xyz/compare/slime-vs-trl) - [slime vs verl](https://stackmap.shipwithai.xyz/compare/slime-vs-verl) - [squad vs three-man-team](https://stackmap.shipwithai.xyz/compare/squad-vs-three-man-team) - [tokensave vs Understand-Anything](https://stackmap.shipwithai.xyz/compare/tokensave-vs-understand-anything) - [train-llm-from-scratch vs trl](https://stackmap.shipwithai.xyz/compare/train-llm-from-scratch-vs-trl) - [trl vs verl](https://stackmap.shipwithai.xyz/compare/trl-vs-verl) - [Unlimited-OCR vs xberg](https://stackmap.shipwithai.xyz/compare/unlimited-ocr-vs-xberg) - [video-spec-builder vs VideoAgent](https://stackmap.shipwithai.xyz/compare/video-spec-builder-vs-videoagent) - [VideoAgent vs ViMax](https://stackmap.shipwithai.xyz/compare/videoagent-vs-vimax) ## Refused at the gate Repos evaluated and not admitted — the curation gate, visible ([how we curate](https://stackmap.shipwithai.xyz/how-we-curate)): - zero-employee-company-book (AnthonyDavidAdams/zero-employee-company-book): A book about AI-run companies, not a tool you can put in a stack. [scope] - jobsync (Gsync/jobsync): An end-user job-tracker app that uses AI — no honest topic in a map of AI-stack building blocks. [scope] - pake (tw93/pake): Webpage-to-desktop-app packager — a superb tool with zero AI/agent relevance; wrong map. [scope] - google-maps-agent-skills (gmapsscraper/google-maps-agent-skills): Right scope (agent skills), 121 stars and weeks quiet — revisit when it grows. [maturity] - seo-geo-claude-skills (aaron-he-zhu/seo-geo-claude-skills): A signpost repo pointing at its own replacement, 85 stars — map the canonical home if it earns it. [maturity] - wigolo (KnockOutEZ/wigolo): Right scope (local-first web MCP), public beta at 85 stars — revisit when it grows. [maturity] - awesome-harness-engineering (ai-boost/awesome-harness-engineering): An awesome-list, not a tool — nothing can honestly pair with a link collection. [scope] - FlashDB (armink/FlashDB): Embedded MCU database, not an embedding database — no honest topic or edge in an AI/agent catalog. [scope] - SwarnDB (SarthiAI/SwarnDB): Interesting vector+graph idea at 13 stars with no license — the catalog vouches for what it maps. [maturity] ## API & MCP - [Full catalog (JSON)](https://stackmap.shipwithai.xyz/api/catalog.json): every repo and topic, with typed edges and the curator's why - Per-repo JSON: https://stackmap.shipwithai.xyz/api/repos/.json - **MCP server**: `npx -y @ship-with-ai/stackmap-mcp` gives any MCP client (Claude Code, Cursor, Codex) tools to search the catalog, get a repo's curator note, list alternatives, and continue a stack — [install](https://stackmap.shipwithai.xyz/mcp), [source](https://github.com/Ship-With-AI/stackmap-mcp)