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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.
Give your AI agents clinical database access, research automation, and clinician-reviewed domain knowledge for MIMIC-IV, eICU, and more.
PythonMIT★ 46No key
Own your AI memory — import ChatGPT, Claude and Gemini exports, see what each AI knows about you. Checkpoint/restore and cross-model continuity for agents.
PythonMIT★ 122No key
Self-hosted AI agent memory — MCP memory server with durable recall for agents
PythonApache-2.0★ 107No key
Persistent memory, reflection & safety for AI agents. Zero dependencies — no vector DB, no embedding server. BM25 + multi-hop graph retrieval. MCP server with 10 tools.
PythonMIT★ 77No key
Your data, explored locally — and your AI agents kept on a leash. A federated data explorer with governed agentic access.
PythonApache-2.0★ 14No key
Druks runs agent apps on your own infrastructure: durable runs that survive restarts, human approvals, and full history. Apps install as Python packages.
PythonMIT★ 17No key
Zero-infrastructure, local-first memory for AI agents. One SQLite file — no Postgres, Neo4j, or cloud. Bi-temporal supersession (updates, never deletes), four-channel hybrid retrieval, and a drop-in M
PythonApache-2.0★ 14No key
Hybrid RAG (DuckDB vector + BM25 + RRF + recency/keyword priors + optional cross-encoder rerank) as an installable library + CLI.
PythonAGPL-3.0★ 9No key
Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude Desktop, Cursor, and ot
PythonMIT★ 24No key
On-premise knowledge layer that makes an organization's existing systems (PeopleSoft, Snowflake, Canvas, Salesforce, …) queryable by AI agents over MCP — no data extraction, your data stays in your ne
PythonMIT★ 11No key
Centrality-aware GraphRAG retrieval planner — drop-in layer over any vector DB. Zero LLM in the query path; MCP server included.
PythonMIT★ 2Few starsNo key
Pre-flight query cost and result-size guardrails for AI agents across BigQuery, Snowflake, and Databricks
PythonMIT★ 1Few starsNo key
Local-first memory cartridge for Claude, Cursor, and MCP-compatible AI agents.
PythonMIT★ 1Few starsNo key
Structured failure knowledge infrastructure for AI agents — dead ends, workarounds, and error transition graphs.
PythonMITFew starsNo key
Turn your Readwise library into a blazing-fast, self-hosted semantic search engine – complete with nightly syncs, vector search API, Prometheus metrics, and a streaming MCP server for LLM clients.
PythonMIT★ 24No key
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