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Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
TranslatedA Simple and Universal Swarm Intelligence Engine, Predicting Anything.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
TranslatedLangchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
TranslatedDistilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill (formerly 同事 Skill).
Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, personal knowledge management (PKM), and an open-source Notion alternative. Based on Karpathy's LLM Wiki pattern.
Graph-Native Infrastructure for Context and Accountable AI Systems
TranslatedDistill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills
DeFi Developer roadmap is a curated Developer handbook which includes a list of the best tools for DApps development, resources and references!
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.
TranslatedSelf-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows. Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
A treasure chest for visual classification and recognition powered by PaddlePaddle
Context Graph for AI Native SDLC
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Persistent memory for Claude Code, Codex and 6 other AI agents, stored as plain markdown in your Obsidian vault. New: Crew, one shared logbook so Claude Code, Codex, Cursor and Grok Bot know what each other did. 48 commands: semantic search, self-rewriting notes, key-less research, scheduled agents.
Zep | Examples, Integrations, & More
OpenKB: Open LLM Knowledge Base