AutoAgent

Rating:

(4 / 5 from 1 ratings)

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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non-technical users software developers AI researchers automation engineers

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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%

Make it work for you

Describe the job. Get an AI worker you can actually message.

We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.

Runs without your laptopBrowser + messaging appsBackups and clonesMemory survives restarts

Describe my agent See the launcher

Plans start at $29/month. Cancel anytime.

Hosted agent

OpenClaw or Hermes

saved state

Browser

Slack

“I checked the inbox, handled the routine messages, and sent you the one question that needs a decision.”

Create an AI worker that keeps running after this tab closes.

Open Agent Factory

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