A Simple and Universal Swarm Intelligence Engine, Predicting Anything. ็ฎๆด้็จ็็พคไฝๆบ่ฝๅผๆ๏ผ้ขๆตไธ็ฉ
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Updated
Apr 2, 2026 - Python
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. ็ฎๆด้็จ็็พคไฝๆบ่ฝๅผๆ๏ผ้ขๆตไธ็ฉ
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV
Build your personal knowledge base with Trilium Notes
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
high-performance graph database for real-time use cases
Memory control plane for AI Agents in 6 lines of code
Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters โ 6.8ร fewer tokens on reviews and up to 49ร on daily coding tasks.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Graphs that teach > graphs that impress. Turn any code, or knowledge base (Karpathy LLM wiki), into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
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.
Incremental engine for long horizon agents ๐ Star if you like it!
Athens is no longer maintainted. Athens was an open-source, collaborative knowledge graph, backed by YC W21
Spec-driven development for large codebases
Neo4j graph construction from unstructured data using LLMs
ๆ็ดขๆๆไธญๆNLPๆฐๆฎ้๏ผ้ๅธธ็จ่ฑๆNLPๆฐๆฎ้
Extrapolating knowledge graphs from unstructured text using GPT-3 ๐ต๏ธโโ๏ธ
A unified, comprehensive and efficient recommendation library
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
ๅไธ็ฅ่ฏๅพ่ฐฑ(AgriKG)๏ผๅไธ้ขๅ็ไฟกๆฏๆฃ็ดข๏ผๅฝๅๅฎไฝ่ฏๅซ๏ผๅ ณ็ณปๆฝๅ๏ผๆบ่ฝ้ฎ็ญ๏ผ่พ ๅฉๅณ็ญ
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