AutoAgent

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Category:AI Agent Development Frameworks

Overview

Open-source zero-code LLM framework to create and deploy multi-agent workflows via natural language.

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Best For Professions:

non-technical users software developers AI researchers automation engineers

AutoAgent is an open‑source, fully automated LLM agent framework from HKUDS that allows users to build, customize, and deploy multi-agent workflows using only natural language. It features an agent editor and workflow builder for zero-code design, a self‑managing vector DB, support for multiple LLMs, and strong performance on GAIA benchmark compared to research-grade agents.

Autonomy level

86%

Reasoning: AutoAgent achieves high autonomy through its fully automated, zero-code framework that enables dynamic task decomposition, multi-agent collaboration, and self-managing capabilities. It supports autonomous function-calling and ReAct interaction modes, allows natural language-driven agent creation without programming, and includes a self-developing v...

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Some of the use cases of AutoAgent:

Building multi‑agent workflows without writing code.
Rapidly generating agents and tools via natural language.
Running workflows with retrieval‑augmented planning and vector DB.
Deploying self‑developing agents that self‑play and optimize.

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Pricing model:

free

Code access:

open-source

Popularity level: 47%