An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Get your documents ready for gen AI
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
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
DSPy: The framework for programming—not prompting—language models
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Build, run, and manage agent platforms.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
"Vibe-Trading: Your Personal Trading Agent"