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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Git-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writi
PythonMIT★ 27No key
Fully local MCP retrieval tool for coding agents. 161M encoder, ~1s per tool call, no API, no LLM in the query path. No file reads: line numbers, callers, callees and exact call sites, packed to a tok
GoMIT★ 5No key
Give your coding agent the right code, not more code. Local context engine for Claude Code, Cursor & Codex: code graph + hybrid search + embeddings + git history, packed into a token budget. Held-out
PythonMITFew starsNo key
One MCP tool that returns the files a coding agent should read.
PythonMIT★ 1Few starsNo key
The most token-efficient and lossless way for multiple AI agents to edit the same file.
SkillMITFew starsNo key
Evidence-first code intelligence for AI coding agents: verified claims with evidence, honest unknowns, a name check for Python and Java (invented APIs, Mixin targets), PDF/Office documents and screens
PythonApache-2.0★ 3Few starsNo key
Stops your coding agent searching from zero — a 22ms local file ranker. No API key, no index, no network call.
SkillApache-2.0★ 4Few starsNo key
Local search over your code and documents for AI agents. One binary that indexes your repositories, PDFs and Office files and serves them over MCP.
SkillApache-2.0★ 5No key
Who stands behind it
