A privacy-first, open-source platform for knowledge management and collaboration. Download link: https://github.com/logseq/logseq/releases. roadmap: https://discuss.logseq.com/t/logseq-product-roadmap/34267
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 layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Memory for AI Agents in 6 lines of code
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.
"DeepTutor: AI-Powered Personalized Learning Assistant"
Athens is no longer maintainted. Athens was an open-source, collaborative knowledge graph, backed by YC W21
Data transformation framework for AI. Ultra performant, with incremental processing. ๐ Star if you like it!
Prompt-To-Agent : Create custom engineering agents for your codebase
Extrapolating knowledge graphs from unstructured text using GPT-3 ๐ต๏ธโโ๏ธ
ๆ็ดขๆๆไธญๆNLPๆฐๆฎ้๏ผ้ๅธธ็จ่ฑๆNLPๆฐๆฎ้
ๅไธ็ฅ่ฏๅพ่ฐฑ(AgriKG)๏ผๅไธ้ขๅ็ไฟกๆฏๆฃ็ดข๏ผๅฝๅๅฎไฝ่ฏๅซ๏ผๅ ณ็ณปๆฝๅ๏ผๆบ่ฝ้ฎ็ญ๏ผ่พ ๅฉๅณ็ญ
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Neo4j graph construction from unstructured data using LLMs
A unified, comprehensive and efficient recommendation library
Mobile first Note Taking integrated with Git
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
๐ To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS ๐ซ ็จๅบๅ็ๆๆฏ่ง้ใ็ฅ่ฏ็ฎก็ไธ่ไธ่งๅ๏ผๆ้ซไธชไบบไธๅข้็็ ๅๆ่ฝ
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