AutoAgent

Stale
GitHub Python MIT

Description

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

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

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