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
Build AI Agents, Visually
12 Lessons to Get Started Building AI Agents
Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling
This repository contains the Hugging Face Agents Course.
Fully Local Manus AI. No APIs, No 200ドル monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin993886460 (Beware of fake account)
📊 Cube Core is open-source semantic layer and LookML alternative for AI, BI and embedded analytics
🔥 MaxKB is an open-source platform for building enterprise-grade agents. MaxKB 是强大易用的开源企业级智能体平台。
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
The glamourous AI coding agent for your favourite terminal 💘
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
API, Integration, E2E Testing Agent for Developers that actually work. Generate tests, mocks/stubs for your APIs!
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
CTTF: MCP integration between Cursor and Figma, allowing Cursor Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
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