Private Skill distribution platform for AI coding agents: publish, install, update, and rollback team skills across Cursor, Claude Code, Codex, and OpenClaw with a minimal…
#knowledge-management
MCP servers, skills and plugins tagged “knowledge-management” on GitHub.
56 entries · real GitHub data
- #31Skill Base
Andrej Karpathy's LLM Wiki pattern as a skill & Claude Code plugin — turn accumulated sources into a self-maintaining, scalable markdown knowledge base.
- #33Docsmint
Open-source knowledge base for people and AI agents. Rich-text editing, hybrid search, GraphRAG, and MCP. Self-host with Docker or use DocsMint Cloud.
Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills
- #35The Curator
Your brain, then your team's brain, then your agents' brain. Drop in documents and it compounds them into an interlinked markdown wiki you own — readable in Obsidian, synced…
- #36Sugar
Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.
- #37Knowl
Persistent memory for Claude Code, Cursor and Codex. Facts are typed, sourced, and retired when they change. Local SQLite, no API keys.
- #38Claude Brain
Sync your Claude Code brain across machines — memory, skills, agents, rules, and settings with intelligent semantic merge. Git-based, auto-sync hooks.
- #39Seerai
Zotero AI plugin Research assistant for Zotero 10. Chat with your library, run federated scholarly search, RAG, OCR, systematic reviews, and manage cloud storage. Includes…
- #40Autograph
Schema-as-code memory for AI agents in Obsidian: typed cards, entity dedup, link repair, update-in-place, and Ebbinghaus decay. Plain Markdown you own — a Claude Code skill.
Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project…
- #42LLM Wiki
Autonomous knowledge base plugin for Claude Code - captures reserch, ideas, and decisions into an interlinked wiki with reserch-on-miss, semantic search, and a Wikipedia-style…
- #43Gaios
Open-source AI Operating System (AIOS) blueprint for Claude Code & Codex — turn any agent into your personal second brain + Chief of Staff: skills, self-verifying workflows, a…
- #44Superbrain
Session memory for Claude Code. Auto-captures every session into a plain Obsidian markdown vault. Zero config. MIT. macOS + Linux.
Claude Code Skill - 抓取微信公众号文章并转换为 Markdown,自动下载图片 | WeChat Article to Markdown Converter
- #46Remem
Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.
Research paper collection management plugin for Claude Code, Codex CLI, and Gemini CLI
- #48Smart Learn
Smart Learn - Claude Code interactive learning skill. Feynman Technique five-step pipeline: concept map + Feynman explanation + self-test + association + summary. Zero…
Applied reasoning, persistent agent memory, context engineering, and human-governed trust for AI coding agents — Claude Code, Claude Cowork, Codex, Cursor, Antigravity.…
Living Docs — a AI agent skill that runs your project's documentation as a living system: constitution, ADRs, BDRs, PRDs, issues, research notes & Mermaid architecture diagrams…
Turn long AI conversations into reusable domain knowledge across sessions
7 AKU-architected skills for OpenCode + Obsidian MCP: obsidian-mcp, inbox-triage, connection-review, weekly-synthesis, context-maintenance, vault-health-feedback,…
- #53Claude Bible
Make Claude Code behave consistently across repos, sessions and humans: rules-as-files governance with precedence, declined-decisions journal, objection sparring. Sanitized…
- #54Harness Kit
Your plugins, skills, MCP servers, hooks, conventions, and governance packaged into a single config
把微信读书笔记编译成可执行的 AI Agent Skills(SKILL.md),一次挂载即可在 Claude Code / Cursor / Codex / Gemini CLI 运行。Don't just read. Execute.
- #56Kibi
Kibi is a requirement-conformance layer for AI coding agents that keeps product intent connected to code and tests, and catches when implementations drift from it.