MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Hybrid RAG (DuckDB vector + BM25 + RRF + recency/keyword priors + optional cross-encoder rerank) as an installable library + CLI.
PythonAGPL-3.0★ 9No key
🏇Strike Tips Racing Bot AI-powered South African horse racing intelligence system. Scrapes live odds from Betway, analyzes form/ratings via local LLMs (Ollama) with Gemini/Groq fallback identifies va
SkillAGPL-3.0★ 4Few starsNo key
Agent-driven, human-in-the-loop knowledge base: AI agents extract business rules from code via MCP, reviewers approve/reject in a web UI, and rejected rules feed back to refine — a converging loop.
SkillAGPL-3.0Few starsNo key
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
PythonAGPL-3.0★ 382No key
Open-source causal graph memory for AI agents. 85.55 on LoCoMo under a frozen, reproducible protocol. MCP server with ACT-R scoring, spreading activation, and active forgetting.
PythonAGPL-3.0★ 31No key
Git-versioned, provenance-grounded knowledge layer extracted from a codebase, served to humans and AI agents via MCP
PythonAGPL-3.0★ 9No key
Open-source prompt development and orchestration system powered by Supabase.
SkillAGPL-3.0★ 1Few starsNo key
Local-first AI planner that learns your preferences and turns events into memories. Your data stays on your machine.
SkillAGPL-3.0Few starsNo key
Self-hosted, governed long-term memory for a fleet of AI agents — MCP-native, with hybrid retrieval, a typed knowledge graph, and per-agent mTLS access control. Runs on your own hardware; ships empty
SkillAGPL-3.0Few starsNo key
Who stands behind it
