MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
SkillApache-2.0★ 32kNo key
Full Rust port of Python docling
PythonMIT★ 106No key
CLI, MCP server, and API-compatible interface for Perplexity AI
PythonMIT★ 20No key
The whole local AI stack in one executable: it runs and manages local AI models across every GPU, and it's a search engine you can talk to, with cited answers from your files, code, and the web. MCP s
PythonMIT★ 66No key
Redis Vector Library. The AI-native Python client for Redis.
OfficialPythonMIT★ 432No key
Declarative AI pipelines in one YAML file. Tokens, audio chunks, and video frames flow between isolated components. Compose 100+ components for models, agents, speech, vision, and live broadcast. Run
PythonMIT★ 118No key
OpenZIM MCP is a modern, secure, and high-performance MCP (Model Context Protocol) server that enables AI models to access and search ZIM format knowledge bases offline.
PythonMIT★ 145No key
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
PythonApache-2.0★ 5.7kNo key
A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
PythonMIT★ 1.0kNo key
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
PythonMIT★ 629No key
Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills.
PythonMIT★ 337No key
An advanced, high-performance Python client, MCP server, and REST API for reverse-engineering Perplexity AI's WebUI.
PythonMIT★ 136No key
Turn any repo into a Code Knowledge Graph your coding agent can reason over — symbols, API routes, ORM models, architecture decisions & git history as a typed, provenance-tracked graph, served over MC
PythonApache-2.0★ 4Few starsNo key
Find your files with natural language and ask questions.
PythonGPL-3.0★ 63No key
A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.
PythonMIT★ 100No key
An open-source, coding agent harness designed specifically for local LLMs. Designed as everything a user needs to jumpstart their own harness (detailed event steams, logs, and performance data) or qui
PythonMIT★ 48No key
A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request exe
PythonMIT★ 82No key
Self-hosted AI agent memory — MCP memory server with durable recall for agents
PythonApache-2.0★ 107No key
Long-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files
PythonMIT★ 37No key
Text-to-SQL access control: schema selection that gives the LLM only the tables the caller is allowed to read. Row-level-security-aware table pruning for LangChain, MCP and any SQL agent. Postgres, Or
PythonApache-2.0★ 104No key
A local dual-layer memory pattern for AI agents: a compact, human-readable markdown index paired with semantic retrieval from a local vector store, queried before each message. For cross-project recal
SkillApache-2.0★ 63No key
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