Stop building your AI stack from 40 open tabs.
A curated map of open-source AI & agent tools — and what actually pairs with what.
Every connection is a typed, human-reviewed relationship — with the why written down. How we curate →
Start here: Build a coding agent →
275 repos · 19 topics · curated by ShipWithAI · new: stop-slop, skill-recorder, pentagi →
new: your agent can query the map — npx -y @ship-with-ai/stackmap-mcpconnect →
A skill file that removes AI tells from prose: ~30 banned phrases across 7 categories, 8 banned structural patterns, and a 50-point scoring rubric that forces revision below 35. Zero dependencies.

Desktop app that records a real work session — clicks, apps, pages, narration — and uses Copilot CLI to reconstruct intent + steps, then generates a reusable SKILL.md or scheduled Automation.
Self-hosted autonomous pentesting: multi-agent system in sandboxed Docker with 20+ tools, supervised agent hierarchies, Langfuse observability and a Graphiti knowledge graph. 10+ LLM providers.

Self-hosted platform orchestrating AI agents for vulnerability research: chain focused prompts into reusable workflows, run them in parallel over Codex or Claude Code, dedupe and rank findings.

Multimodal retrieval engine for visually rich documents: ingestion, visual-first search over charts, tables and diagrams, knowledge graphs and cache-augmented generation — one engine, not a pipeline.
Portable agent skill that strips the signs of AI-generated writing — 25 pattern categories from Wikipedia's 'Signs of AI writing' guide, with a two-pass self-critique loop and voice calibration.

Self-hostable platform for the whole agent-quality loop: tracing, evals, simulations, datasets, guardrails and an LLM gateway — one feedback loop from prototype to production. Apache 2.0.

Self-hosted private AI workspace: chat, multi-agent crews with human review, a visual workflow builder and Telegram integration in one app — local models via Ollama/llama.cpp or your own keys.
File-based durable memory for coding agents: brain-setup scaffolds a BRAIN.md protocol + brain/ directory of decisions, requirements and constraints — plain Markdown in your repo, written via CLI.

76 production-ready Claude skills across frontend, backend, DevOps, security, cloud and AI/ML — with a Skillchain workflow system that chains them into guided full-stack builds. 19 plugin groups.

Meetings as live agent loops: local recording, dual-channel you-vs-them transcription, in-call AI suggestions, auto-triggered MCP tools mid-conversation, and post-call summaries. macOS/Windows.

All-in-one server and WebUI for generative image and video — Stable Diffusion and dozens of model families, with captioning, upscaling and processing pipelines. Cross-platform, API-first.

Turns any technical book PDF — or folder of sources — into a structured agent skill: mental models in SKILL.md, per-chapter files loaded on demand. Claims 24-51x fewer tokens than context-dumping.

Graph-native context infrastructure for accountable AI: ingest enterprise data, extract a knowledge/context graph (RDF + LPG), run graph analytics and causal reasoning with decision provenance.

Terminal coding agent optimized for low-cost open models — a Rust Codex fork with switchable harness emulation (claude-code, kimi-code, qwen-code…), ACP support and Codex SDK compatibility.

Open metadata platform turned AI context layer: 130+ connectors feed a unified knowledge graph of lineage, quality, ownership, glossaries and contracts — served to agents via MCP and APIs.

Self-hosted enterprise knowledge hub + MCP server: an LLM pipeline compiles SOPs and docs into a traceable, human-reviewed wiki, then serves it to AI clients scoped by department and role.
Rust library converting Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV and PDF to clean Markdown in single-digit milliseconds — Node/Python/WASM bindings, CLI, and an agent skill.
Virtual filesystem for agents inside a Cloudflare Durable Object — SQLite-authoritative state with pluggable execution: FUSE-mounted containers, isolate shell (just-bash) or isolate JavaScript.
Self-improving coding/research agent around a Recursive Language Model: persistent IPython as the core tool, programmatic subagents, durable harness state it refines via evidence-backed /refine.

Fine-tune and post-train LLMs from one YAML: QLoRA, DPO/ORPO/SimPO/KTO — layer streaming trains an 8B model in 3.3GB VRAM on a laptop GPU, bit-exact against a resident run.

Ten agent skills for solopreneurs — SEO/GEO, Reddit/X/Product Hunt research, domain hunting, logo and banner generation, session archiving — installable in Claude Code, Cursor and 16+ tools.

Reverse-engineering and pentest skill router for coding agents: routes APK/ELF/JS/PCAP/CTF tasks to the right playbook, bootstraps jadx/Frida/IDA-class toolchains, evolves a knowledge base. CN/EN.

State-machine guardrails for AI agents: define workflow phases once and only that phase's tools unlock — enforced across Claude Code, Codex, Cursor, opencode and Pi. Rust.

All-in-one AI framework around an embeddings database — dense, sparse, graph and relational fused — with pipelines, workflows, agents and MCP/web APIs. Python, bindings for JS/Java/Rust/Go.
Indexes the session histories your coding agents already wrote — 17 harnesses, months retroactive — and serves recall over MCP. 84.9% hit@1 on LongMemEval-S, no LLM, no embeddings. One Go binary.

Rust MCP server + desktop Studio for AI-native ontology engineering: 70+ tools over an in-memory Oxigraph store — OWL2-DL tableaux reasoning, SHACL, SPARQL, versioning. Single binary, no JVM.

One installer that turns a PC, Mac or Linux box into a private AI server: Ollama, Open WebUI, n8n, ComfyUI wired together — inference, chat, voice, agents, RAG and image gen, no cloud.

PostgreSQL extension adding graph search, traversal and shortest-path over your existing tables — a derived graph index queried from plain SQL, no separate graph DB or query language. Rust.
Code-intelligence engine in one static Go binary: tree-sitter graph over 257 languages, compiler-grade resolution for 17, multi-repo, 175 configurable MCP tools — up to 50x fewer tokens. 100% local.

IBM's registry + proxy federating MCP, A2A and REST/gRPC into one governed endpoint: discovery, auth, rate limits, guardrails, OTel tracing, 40+ plugins — scales to K8s with Redis federation.
Distributed graph issue tracker for coding agents on Dolt: dependency-aware beads replace markdown plans — bd ready/claim/close, cell-level merge, push/pull across machines and agents. CLI + MCP.

Agentic formal verification: coding agents write TLA+ specs and invariants of your distributed system, model-check them, and reproduce violations at code level. arXiv paper + public bug list.

Modular local voice-agent pipeline — VAD→STT→LLM→TTS behind an OpenAI Realtime-compatible WebSocket; every stage swappable, the LLM slot takes any OpenAI-compatible server. Powers Reachy Mini robots.
Turns Databricks Unity Catalog tables into a materialized knowledge graph: OWL ontology design, R2RML mapping, OWL 2 RL/SWRL/SHACL reasoning, auto-generated GraphQL — exposed to agents over MCP.

GPU document parser in C++/TensorRT: PP-OCRv6 OCR, layout, tables and formulas to Markdown at 200-559 img/s on one GPU — no VLM, HTTP + gRPC, one-line Docker deploy.
One email a week: what changed in the AI stack
New repos, new typed connections, the why behind each. No spam, unsubscribe anytime.