AutoAgent
StaleDescription
Fully-automated and zero-code LLM agent framework that enables users to build and deploy custom AI agents through natural language without writing code.
Key Features
- Fully-automated agent building through natural language — no coding required to create, customize, and deploy AI agents
- Zero-code framework democratizing AI development for users without technical backgrounds
- Self-managing workflow generation that dynamically creates and optimizes agent pipelines from high-level descriptions
- Intelligent resource orchestration with iterative self-improvement for tools, agents, and workflows
- Deep Research mode as a cost-effective open-source alternative to commercial deep research services
- Self-play agent customization enabling agents to refine their own capabilities through conversation
Use Cases
💡 Deep research and comprehensive report generation across multiple sources
💡 Building custom AI agents without any programming knowledge
💡 Creating multi-agent workflows for complex analytical tasks
💡 Educational use — teaching AI concepts through hands-on agent creation
💡 Rapid prototyping of AI-powered automation pipelines
Strengths & Limitations
✅ Strengths
- • High community interest (9.8k stars)
- • Permissive open-source license (MIT)
- • Responsive to issues, low backlog
⚠️ Limitations
- • No updates in over 10 months
Categories
Quick Start
git clone https://github.com/HKUDS/AutoAgent.git && cd AutoAgent
pip install -e .
autoagent start # choose user mode for Deep Research or agent/workflow editor