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!

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

MemU is an open-source memory framework for AI companions

🦾 Take control of your AI agents

OctoTools: An agentic framework with extensible tools for complex reasoning

A security scanner for your LLM agentic workflows

When Agent Becomes the Scientist – Building Closed-Loop System from Hypothesis to Verification

MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025

A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.

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

META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡

A framework for agentic workflow creation and deployment

Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

A playground for neuro-san

Lightweight Multi Agent AI Orchestrator Framework with AGI Capabilities.

[NAACL2025] LiteWebAgent: The Open-Source Suite for VLM-Based Web-Agent Applications

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems.