BAAI-Agents/Cradle

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

MS-Agent: a lightweight framework to empower agentic execution of complex tasks

Agent S: an open agentic framework that uses computers like a human

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

AgentEvolver: Towards Efficient Self-Evolving Agent System

A programming framework for agentic AI

An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.