Production-ready platform for agentic workflow development.
-
Updated
Sep 15, 2025 - 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
Build AI Agents, Visually
12 Lessons to Get Started Building AI Agents
This repository contains the Hugging Face Agents Course.
Fully Local Manus AI. No APIs, No $200 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)
🔥 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
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Unit, API & Integration Testing Agent for Developers. Generate tests, mocks/stubs for your APIs that actually work!
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
🌊 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.
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!
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Super-fast/easy runtime validators and serializers via transformation
CTTF: MCP integration between Cursor AI and Figma, allowing Cursor to communicate with Figma like agentic ai for reading designs and modifying them programmatically.
Install, run and deploy your own decentralized AI agent service
ReLE中文大模型能力评测(持续更新):目前已囊括291个大模型,覆盖chatgpt、gpt-5、o4-mini、谷歌gemini-2.5、Claude4、智谱GLM-Z1、文心一言、qwen-max、百川、讯飞星火、商汤senseChat、minimax等商用模型, 以及kimi-k2、ernie4.5、minimax-M1、DeepSeek-R1-0528、deepseek-v3.1、qwen3-2507、llama4、phi-4、GLM4.5、gemma3、mistral等开源大模型。不仅提供排行榜,也提供规模超200万的大模型缺陷库!方便广大社区研究分析、改进大模型。
Add a description, image, and links to the agentic-ai topic page so that developers can more easily learn about it.
To associate your repository with the agentic-ai topic, visit your repo's landing page and select "manage topics."