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AutoAgent

AutoAgent AI Agent
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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Best For Professions:

non-technical userssoftware developersAI researchersautomation 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

86/100

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.

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...

Comparisons

Custom Comparisons

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%

Industries:

Software DevelopmentResearchEducationBusiness Automation

Tags:

zero‑codemulti‑agentvector databaseLLM orchestrationself‑developing

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