Production-ready platform for agentic workflow development.
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Updated
Mar 17, 2026 - TypeScript
Production-ready platform for agentic workflow development.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🙌 OpenHands: AI-Driven Development
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
Create agents that monitor and act on your behalf. Your agents are standing by!
JeecgBoot 是一款 AI 驱动的低代码开发平台,提供"零代码"与"代码生成"双模式——零代码模式一句话搭建系统,代码生成模式自动输出前后端代码与建表 SQL,生成即可运行。平台内置 AI 聊天助手、AI大模型、知识库、AI流程编排、MCP 与插件体系,兼容主流大模型,支持一句话生成流程图、设计表单、聊天式业务操作,解决 Java 项目 80% 重复工作,高效且不失灵活。
A generative speech model for daily dialogue.
Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
an easy-to-use dynamic service discovery, configuration and service management platform for building AI cloud native applications.
TradingAgents: Multi-Agents LLM Financial Trading Framework
⏩ Source-controlled AI checks, enforceable in CI. Powered by the open-source Continue CLI
An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minutes to hours.
Bash is all you need - A nano Claude Code–like agent, built from 0 to 1
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