1.StarTrail-org / LEANN
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Ranked by Attention Score: stars gained over the last 7 complete days
14 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
"RAG-Anything: All-in-One RAG Framework"
Ontology-Augmented Generation for AI agents.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Agent S: the state-of-the-art open source computer use agents
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Retrieval and Retrieval-augmented LLMs
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
Unified framework for building enterprise RAG pipelines with small, specialized models