OWD-AI/AutoAgents

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1493 stars · 178 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AutoAgents is a Python framework that uses an LLM to automatically generate multiple specialized agent roles that collaborate to accomplish complex tasks. It includes a planner, expert agents, tools, and observers for reflection, and was published as an IJCAI 2024 paper.

Use cases

• generate multi-agent teams for complex tasks with gpt
• automatically create expert roles for llm workflows
• build collaborative ai agents from a single goal
• run multi-agent experiments based on large language models
• orchestrate llm agents with planning and reflection
• prototype agent-based task automation in python

When to choose

• you want an LLM to dynamically design its own team of expert agents
• you're researching multi-agent generation and want a paper-backed framework
• you need a lightweight MIT-licensed Python codebase to extend with custom agents

When to avoid

• you need a production-grade, actively maintained multi-agent platform
• you require tool integrations beyond basic search tools
• you need a hosted demo - the Hugging Face Space is currently broken

Facets

framework · maturity maintenance

agent-framework llm-inference prompt-engineering artificial-intelligence large-language-models python cross-platform multi-agent llm autoagent-generation ijcai-2024 collaborative-agents ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="OWD-AI/AutoAgents")