An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
- large-language-models
- nlp
- knowledge-curation
- naacl
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An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
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.
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.
Unified framework for building enterprise RAG pipelines with small, specialized models
[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.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Agent S: the state-of-the-art open source computer use agents
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
~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.
Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.
The open source platform for AI-native application development.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.
Harness LLMs with Multi-Agent Programming
The meta-skill that improves your skills, including itself. Turns the corrections, judgement calls and repeated workflows of your sessions (autonomous or human-led) into small skill updates and new skill candidates, each with its evidence and reason. Nothing touches a skill until you approve it. Augmented Expertise in practice. CC BY 4.0.
AgentFlow: In-the-Flow Agentic System Optimization
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
OctoTools: An agentic framework with extensible tools for complex reasoning
🦍 Memorilla: Latent Semantic Memory for LLMs
Official repository for MemT-1.0
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework