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

DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both!

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing and MCP tools.

Optimizing inference proxy for LLMs

Memory infrastructure for LLMs and AI agents

Meet Ava, the WhatsApp Agent

When Philosophy meets AI

🦾 Take control of your AI agents

Lightweight Durable Python Workflows

A security scanner for your LLM agentic workflows

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

An Open-Source AI Writing Project.

End-to-end Generative Optimization for AI Agents

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

II-Researcher: a new open-source framework designed to aid building search / research agents

🔥🔥🔥 ICLR 2025 Oral. Automating Agentic Workflow Generation.

PandaAGI provides a simple, intuitive API for building general AI agents in just a few lines of code