AutoAgent
Overview
HKUDS AutoAgent is a developer-run framework for research agents and natural-language creation of agents and workflows.
Best For Professions:
HKUDS AutoAgent is a developer-run framework for research agents and natural-language creation of agents and workflows.
User mode performs research; agent-editor and workflow-editor modes build configured agent systems. The repository distinguishes shipped CLI features from future GUI, sandbox and tool-platform work.
Install the Python project and Docker, supply the required access tokens and chosen model keys, then use the CLI. People define tasks and review generated code, tools and reports.
Consider AutoAgent for experimenting with research and agent-building workflows in a controlled developer environment. Natural-language configuration does not remove installation or review responsibilities.
Product overview
Capabilities, pricing and fit
HKUDS AutoAgent is a developer-run framework for research agents and natural-language creation of agents and workflows.
Information as of November 10, 2026
What it can do
- What it does
User mode performs research; agent-editor and workflow-editor modes build configured agent systems. The repository distinguishes shipped CLI features from future GUI, sandbox and tool-platform work.[1]
- Setup and human role
Install the Python project and Docker, supply the required access tokens and chosen model keys, then use the CLI. People define tasks and review generated code, tools and reports.[1]
- Connections
Configure OpenAI, Anthropic, Gemini, Mistral or another supported model provider, and create custom tools for your workflow. Composio and E2B connections remain planned features.[1]
- Video guide
The AutoAgent segment in this March 2025 third-party roundup starts at 00:46 and introduces the HKUDS framework. The video also covers other projects.[2]
Where it fits best
- Consider AutoAgent for experimenting with research and agent-building workflows in a controlled developer environment. Natural-language configuration does not remove installation or review responsibilities.[1]
Pricing and availability
MIT-licensed source is available without a software fee. Model calls, containers, search or tool subscriptions and development time remain part of the operating cost.[1]
Platforms: Developer-managed application[1]
Access: Install the Python project and Docker, supply the required access tokens and chosen model keys, then use the CLI. People define tasks and review generated code, tools and reports.[1]
Sources (2)
- github.com — product informationOfficial site · checked 2026-11-10
- Product introduction or demonstrationOfficial site · checked 2026-11-10
Autonomy level
86/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of AutoAgent:
- Consider AutoAgent for experimenting with research and agent-building workflows in a controlled developer environment. Natural-language configuration does not remove installation or review responsibilities.
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Popularity level: 47%
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