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A curated map of open-source AI & agent tools. Every connection is a typed, human-reviewed relationship — with the why written down. How we curate →
480 repos · 24 topics · curated by ShipWithAI · new: xerj, WeKnora, TencentDB-Agent-Memory →

One Rust binary for agent search: BM25, vector and hybrid search over code, docs, logs and PDFs, an Elasticsearch-compatible API, MCP, and Query-1, which answers by running programs over facts.
Tencent's enterprise knowledge platform: one set of document bases served three ways, as RAG search, a reasoning agent with sandboxed skills, and a self-maintaining LLM wiki.

Tencent's team memory hub for agents: an API proxy turns conversations, docs and code into shared chat memory, skills, an LLM wiki and a code graph, reused across agents.

Meta's benchmark for open-ended bug hunting: given a real repository and no hints, an agent must find and fix as many bugs as it can. Scored as a micro-average of bugs resolved.

Local pre-push code review for coding agents: deterministic scanners (gitleaks, semgrep) plus separate Claude Code/Codex reviewer sessions, with a push gate. No account or key of its own.
The open-source terminal coding agent: TUI, desktop app and server, provider-agnostic across 75+ model providers including local models, with LSP integration and plugins.

Single Rust binary that turns JSONL, CSV, SQLite or any DB export into a ranked full-text index, giving agents short cited answer cards (~450 tokens) at any dataset size.
Independent auditor for AI agents: drops the agent into a simulation of your business, sends realistic requests, and scores operational alignment, permissions and red-team risk in ~2 minutes.
HelixDB's ontology builder: connect databases, tools and docs, let an agent draft an ontology, and load it all into HelixDB as one explorable, queryable graph with provenance.

Google Research's recursive harnessing framework: an agent refines its own harness (prompts, tools, memory, skills) per task via Propose–Probe–Compose, with model weights fixed.
One Rust program giving coding agents a code graph plus memory of docs, decisions and past sessions, served over MCP to Claude Code, Codex, Cursor and VS Code.

Agent memory plus a knowledge graph with ontology constraints in one SQLite file: pure Go, no server, no embedding model required. Plugins for Claude Code, Codex, dsh and Obsidian.

Agent skill that explains an idea by inventing a physical machine whose working is the concept, then builds it as an interactive isometric SVG, optionally with WebGL effects.

Read-only live monitor for Claude Code: a streaming graph of sessions, subagents, tokens, cost, file conflicts and alerts, as plugin, TUI and MCP server. Ships the AOS-1 spec.

Rust inference engine for on-device AI on Apple Silicon (Metal, unified memory) with Swift, Python and TS bindings, OpenAI-compatible server and a TypeSafe System One decision-model API.
macOS computer-use loop at ~$0.0002/step: OCR + accessibility tree read the screen, a TypeSafe classifier picks the next action, code clicks; an LLM writes only free text.
Hybrid GPU/CPU MoE engine that runs Qwen3.8-Flash-Next and DeepSeek V4.1 on consumer cards: hot experts cached in VRAM, rest computed in RAM, MTP drafting, local OpenAI/Anthropic API.

Reverse Engineer Anything: one MCP server plus CLI giving coding agents evidence-backed analysis of native binaries, JS/Electron apps, .NET assemblies and websites via Hopper, Ghidra or IDA.
Postgres extension for plain-language WHERE clauses: jev(row,'the customer is angry') filters, ranks and classifies rows via TypeSafe's Jev decision model. No embeddings, no vector column.

Context engine for coding agents: each session consults, then updates, a Markdown brain of specs, decisions, standards and lessons — private, team-shared via Git, and per-user. No embeddings.

Define a team of Claude Code, Codex and Pi agents in YAML and boot it with one command: persistent tmux-backed seats with roles, shared context and owned work, steered via a lead agent.
CopilotKit template for always-on AI coworkers ('Dots'): each gets a role, tools and its own computer, works in chat, calls and Slack, and saves approved drafts into editable Spaces.

Tencent Cloud's self-hosted, multi-user AI assistant: per-user expert agents, AgentTeams, memory, RAG and connectors, served as one process to a web dashboard, CLI and 8+ IM channels.
Embedded single-file graph database in Rust with Datalog queries and bi-temporal time travel — 'SQLite for connected data with history' — running native, WASM, mobile and in the browser.
Go compiler + runtime exposing databases, warehouses, files and code as one governed GraphQL + MCP graph for agents — catalog-first discovery, allow-lists, built-in agent, standing watches.

Agentic e2e testing for web and mobile: describe a goal, an agent drives the app, locators assert the result. Verified agent steps replay with zero model calls until the UI changes.

Local plugin for 10 coding agents that runs tool calls in a sandbox, indexes full output in SQLite FTS5 and returns only what the agent asks for — ~99% fewer bytes in context, zero telemetry.
Uber's Agentic AI Detection and Response: inventory AI tools on endpoints, capture Claude Code/Cursor/Codex telemetry, and flag risky sessions with a two-tier detector; ships ADR-Bench (300+ tasks).

Rust headless browser for AI agents on Servo/Stylo components: fetch pages as Markdown or a semantic tree, automate via CDP, WebDriver or BiDi — about 13% of Chrome's memory per task.

Markdown to knowledge graph with an ontology you write: a small local decision model answers closed yes/no questions per candidate, and your cutoff keeps, queues for review or drops each link.

Datalab's 9B vision model that extracts JSON matching your schema from PDFs and images in one pass — schema-constrained decoding, multi-page values, vLLM or HF inference, Schema Studio.

Cache-to-Cache (ICLR'26): LLMs talk by projecting and fusing each other's KV-caches instead of generating text — higher accuracy than text relay at ~2x lower latency. Fuser weights on HF.
NVIDIA's security scanner for agent skills: 71 patterns across 17 categories — prompt injection, exfiltration, supply chain, MCP tool poisoning — static plus optional LLM pass, SARIF output.
Low-latency, multi-tenant property graph database that runs queries as sparse-matrix linear algebra (GraphBLAS); OpenCypher over the Redis protocol, built for GraphRAG and agent memory.
Strands Agents: open-source Python and TypeScript SDK for building and running agent harnesses in your process — model-agnostic, with lifecycle controls, hooks, MCP, multi-agent and tracing.
Strands' small decision model (2B, Qwen3.5-based): pick between options, answer yes/no or rate on a scale with calibrated confidence. CLI and /v1/systemone server on CUDA, MPS, MLX or CPU.
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