MCP servers and skills: search, filter by where they run, and compare.
An open-source personal knowledge workspace for you and your AI agents. Connect ideas, explore an interactive knowledge map, and trace answers to sources. Mac + Codex first.
PythonApache-2.0Few starsNo key
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
PythonMIT★ 346No key
Forward videos from IM to transcript, Markdown, and your knowledge base — with raw and skill-updated outputs.
SkillMIT★ 156No key
The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.
SkillCC-BY-4.0★ 91No key
Multi-agent shared brain across Claude Code/Desktop, Codex, Gemini, Copilot, VS Code. Cross-session memory, self-improving skill loops, inter-agent signaling — one local MCP server.
PythonMIT★ 14No key
Reliable memory and context infrastructure for AI coding agents: source-backed facts, review-gated learning, MCP/SDK/UI, and replaceable Qdrant/Graphiti retrieval.
PythonApache-2.0★ 7No key
Memory and continuity for Claude Code, Codex, Cursor, pi.dev and similar.
PythonMIT★ 5No key
Afterlife lets you, an agent running on a local model, nominate experiences from your activity for training into a small LoRA adapter to isekai your future self.
SkillApache-2.0★ 4Few starsNo key
Memory for AI agents you can cat, grep, and git. Markdown-native, MCP-compatible, you own the files.
PythonApache-2.0★ 2Few starsNo key
One shared memory for coding agents (Claude Code, Codex, Cursor) over MCP — token-budgeted recall that keeps context cost flat as memory grows, with a published benchmark and its controls
PythonMIT★ 1Few starsNo key
Persistent memory for AI coding assistants. Mines transcripts, deduplicates, makes them searchable.
PythonMIT★ 1Few starsNo key
Agent Memory — universal memory / learning / evolution infrastructure for AI agents (cross-session memory, auto-sedimentation, hybrid retrieval BM25+vector+Rerank)
SkillMIT★ 1Few starsNo key
Local-first, Obsidian-aware RAG MCP server — hybrid retrieval (dense + BM25 + RRF), contextual retrieval, and cross-encoder reranking on a Clean Architecture skeleton.
PythonMITFew starsNo key
Turn textbooks into adaptive AI tutoring. Knowledge graphs, problem-first learning, and memory across sessions.
SkillMIT★ 2Few starsNo key
MCP server exposing StudyLife (self-hosted study platform) data to Claude and other MCP clients.
PythonAGPL-3.0Few starsNo key
Cognitive memory substrate for AI agents that encodes selectively, consolidates autonomously, and shares context across sessions.
PythonMIT★ 1Few starsNo key
Cobrain CLI helps AI agents gather, organize and visualize owner's knowledge in a local vault.
SkillMITFew starsNo key
Explain-it-back as an MCP connector: it grounds a check in your own sources, scores it with verified evidence (not model vibes), and resurfaces what you don't yet know. Local-first, opt-in, no telemet
PythonMITFew starsNo key
MCP memory server for Claude Code: a git-diffable Markdown vault (opens in Obsidian) with hybrid semantic search, a wiki-link graph, and bi-temporal facts — plus hooks that pull context in automatical
PythonApache-2.0Few starsNo key
Serveur MCP intégrant Claude AI avec Anki pour la génération intelligente de flashcards
PythonMITFew starsNo key
MCP server exposing the Ace Achievers course catalog and question-bank tools to LLM agents (Model Context Protocol)
PythonMITFew starsNo key
Who stands behind it
