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
Trust & integrity
| Signal | MetaGPT | AutoAgent |
|---|---|---|
| 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
- MetaGPT
- Trust report
- AutoAgent
- Trust report
Typed relationship
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 (FoundationAgents/MetaGPT) · observed Sep 20, 2026
- GitHub forks (FoundationAgents/MetaGPT) · observed Sep 20, 2026
- Last push (FoundationAgents/MetaGPT) · observed Jan 21, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (HKUDS/AutoAgent) · observed Sep 20, 2026
- GitHub forks (HKUDS/AutoAgent) · observed Sep 20, 2026
- Last push (HKUDS/AutoAgent) · observed Oct 16, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.