Home/Compare/MetaGPT vs AutoAgent

Comparison

MetaGPT vs AutoAgent

Verdict

Pick MetaGPT if metaGPT is a multi-agent framework that leverages AI agents to enable natural language programming. It is developed in Python and is available under the MIT license; pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage.

Markdown twin · MetaGPT alternatives · AutoAgent alternatives

GraphCanon updated Sep 20, 2026

13views this month

MetaGPT logo

MetaGPT

FoundationAgents/MetaGPT

★ 70kpushed Jan 21, 2026
vs
AutoAgent logo

AutoAgent

HKUDS/AutoAgent

★ 9.7kpushed Oct 16, 2025

Trust & integrity

SignalMetaGPTAutoAgent
Maintenance
Slowing (239d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (307d since push)
As of Aug 19, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 19, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

MetaGPT
The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
AutoAgent
Fully-Automated and Zero-Code LLM Agent Framework

Stars

MetaGPT
70k
AutoAgent
9.7k

Forks

MetaGPT
9.0k
AutoAgent
1.4k

Open issues

MetaGPT
131
AutoAgent
68

Language

MetaGPT
Python
AutoAgent
Python

Adopt for

MetaGPT
MetaGPT is a multi-agent framework that leverages AI agents to enable natural language programming. It is developed in Python and is available under the MIT license.
AutoAgent
AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments

Persona

MetaGPT
-
AutoAgent
-

Runtime

MetaGPT
-
AutoAgent
-

License

MetaGPT
MIT
AutoAgent
MIT

Last pushed

MetaGPT
Jan 21, 2026
AutoAgent
Oct 16, 2025

Categories

MetaGPT
AI Agents
AutoAgent
AI Agents

Trust and health

Days since push

MetaGPT
239d
AutoAgent
307d

Open issues (now)

MetaGPT
131
AutoAgent
68

Stars delta

MetaGPT
+637 (30d)
AutoAgent
+242 (30d)

Open issues delta

MetaGPT
+2 (30d)
AutoAgent
-1 (30d)

OSV dependency advisories

MetaGPT
Published findings
AutoAgent
No lockfile (source not queried)

Full report

AutoAgent
Trust report

Typed relationship

MetaGPT alternative AutoAgentAutoAgent and MetaGPT both enable the creation of AI agents for task execution without manual coding, but AutoAgent focuses on deploying language model agents through user input commands, whereas MetaGPT organizes multiple GPT models into roles to collaboratively undertake complex tasks.

Shared compatibility

  • Python · MetaGPT: Python runtime · AutoAgent: Python runtime

Choose MetaGPT if…

  • AutoAgent and MetaGPT both enable the creation of AI agents for task execution without manual coding, but AutoAgent focuses on deploying language model agents through user input commands, whereas MetaGPT organizes multiple GPT models into roles to collaboratively undertake complex tasks.
  • Tags unique to MetaGPT: gpt, llm, metagpt, multi-agent.
  • MetaGPT ships Docker support for self-hosted deployment.
  • When you need a framework that supports natural language programming through AI agents.

When NOT to use MetaGPT

  • If your project is constrained to Python versions earlier than 3.9 or equal to or later than 3.12.
  • When your development environment does not support or require Node.js and pnpm.
  • If your project does not align with the concept of multi-agent systems or natural language programming.

Choose AutoAgent if…

  • AutoAgent and MetaGPT both enable the creation of AI agents for task execution without manual coding, but AutoAgent focuses on deploying language model agents through user input commands, whereas MetaGPT organizes multiple GPT models into roles to collaboratively undertake complex tasks.
  • Tags unique to AutoAgent: llms.
  • Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.

When NOT to use AutoAgent

  • Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly.
  • Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: MetaGPT 70k · AutoAgent 9.7k (synced Sep 20, 2026).

Common questions

What is the difference between MetaGPT and AutoAgent?
MetaGPT: The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming. AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. See the comparison table for live GitHub stats and shared categories.
When should I choose MetaGPT over AutoAgent?
Choose MetaGPT over AutoAgent when AutoAgent and MetaGPT both enable the creation of AI agents for task execution without manual coding, but AutoAgent focuses on deploying language model agents through user input commands, whereas MetaGPT organizes multiple GPT models into roles to collaboratively undertake complex tasks; Tags unique to MetaGPT: gpt, llm, metagpt, multi-agent; MetaGPT ships Docker support for self-hosted deployment; When you need a framework that supports natural language programming through AI agents.
When should I choose AutoAgent over MetaGPT?
Choose AutoAgent over MetaGPT when AutoAgent and MetaGPT both enable the creation of AI agents for task execution without manual coding, but AutoAgent focuses on deploying language model agents through user input commands, whereas MetaGPT organizes multiple GPT models into roles to collaboratively undertake complex tasks; Tags unique to AutoAgent: llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
When should I avoid MetaGPT?
If your project is constrained to Python versions earlier than 3.9 or equal to or later than 3.12. When your development environment does not support or require Node.js and pnpm. If your project does not align with the concept of multi-agent systems or natural language programming.
When should I avoid AutoAgent?
Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
Is MetaGPT or AutoAgent more popular on GitHub?
MetaGPT has more GitHub stars (70,484 vs 9,738). Stars measure visibility, not whether either tool fits your constraints.
Are MetaGPT and AutoAgent open source?
Yes - both are open-source projects on GitHub (MetaGPT: MIT, AutoAgent: MIT).
Where can I find alternatives to MetaGPT or AutoAgent?
GraphCanon lists graph-backed alternatives at MetaGPT alternatives and AutoAgent alternatives (MetaGPT markdown twin, AutoAgent markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, MetaGPT or AutoAgent?
MetaGPT: Slowing. AutoAgent: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for MetaGPT and AutoAgent?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MetaGPT trust report; AutoAgent trust report.

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