Home/Compare/camel vs MetaGPT

Comparison

camel vs MetaGPT

Verdict

Pick camel if cAMEL is a multi-agent framework for AI societies, emphasizing communicative and cooperative AI agents, deep learning, and large language models; 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.

Markdown twin · camel alternatives · MetaGPT alternatives

GraphCanon updated Sep 20, 2026

10views this month

camel logo

camel

camel-ai/camel

★ 18kpushed Sep 14, 2026
vs
MetaGPT logo

MetaGPT

FoundationAgents/MetaGPT

★ 70kpushed Jan 21, 2026

Trust & integrity

SignalcamelMetaGPT
Maintenance
Very active (3d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (239d since push)
As of Sep 18, 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 Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 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

camel
CAMEL: The first and the best multi-agent framework
MetaGPT
The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Stars

camel
18k
MetaGPT
70k

Forks

camel
2.1k
MetaGPT
9.0k

Open issues

camel
487
MetaGPT
131

Language

camel
Python
MetaGPT
Python

Adopt for

camel
CAMEL is a multi-agent framework for AI societies, emphasizing communicative and cooperative AI agents, deep learning, and large language models.
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.

Persona

camel
-
MetaGPT
-

Runtime

camel
-
MetaGPT
-

License

camel
CAMEL is licensed under the Apache 2.0 license, allowing for broad use in both open-source and commercial projects.
MetaGPT
MIT

Last pushed

camel
Sep 14, 2026
MetaGPT
Jan 21, 2026

Categories

camel
AI Agents
MetaGPT
AI Agents

Trust and health

Maintenance

camel
Very active (96%)
MetaGPT
Slowing (36%)

Days since push

camel
3d
MetaGPT
239d

Open issues (now)

camel
487
MetaGPT
131

Stars delta

camel
+149 (30d)
MetaGPT
+637 (30d)

Open issues delta

camel
+16 (30d)
MetaGPT
+2 (30d)

OSV dependency advisories

camel
No lockfile (source not queried)
MetaGPT
Published findings

Full report

Typed relationship

camel alternative MetaGPTBoth camel and MetaGPT are multi-agent frameworks that simulate different roles for artificial agents working collaboratively. Camel focuses broadly on scaling laws of agent interactions across various scenarios and environments, whereas MetaGPT specifically models these interactions as a simulated AI software company using GPT models.

Shared compatibility

  • Python · camel: Python runtime · MetaGPT: Python runtime

Choose camel if…

  • License: camel is Apache-2.0, MetaGPT is MIT.
  • Pricing: CAMEL is free to use under the Apache 2.0 license, but additional services or support may incur costs..
  • Requirements: Min 4 GB RAM; CAMEL can be installed via pip, making it easy to integrate into Python-based projects..
  • Both camel and MetaGPT are multi-agent frameworks that simulate different roles for artificial agents working collaboratively. Camel focuses broadly on scaling laws of agent interactions across various scenarios and environments, whereas MetaGPT specifically models these interactions as a simulated AI software company using GPT models.
  • Tags unique to camel: ai-societies, artificial-intelligence, communicative-ai, cooperative-ai.
  • Use CAMEL when you need a framework that supports real-world use cases, such as infrastructure automation and productivity workflows, where multi-agent systems can provide tangible business value.

When NOT to use camel

  • Avoid CAMEL if your project does not require the specific capabilities of multi-agent systems, such as dynamic resource management or cooperative AI tasks.
  • Do not use CAMEL if your project's requirements are better met by a single-agent system or if the complexity of multi-agent interactions does not add value to your application.

Choose MetaGPT if…

  • License: MetaGPT is MIT, camel is Apache-2.0.
  • Both camel and MetaGPT are multi-agent frameworks that simulate different roles for artificial agents working collaboratively. Camel focuses broadly on scaling laws of agent interactions across various scenarios and environments, whereas MetaGPT specifically models these interactions as a simulated AI software company using GPT models.
  • 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.

Explore

Sources

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

GitHub stars on cards: camel 18k · MetaGPT 70k (synced Sep 20, 2026).

Common questions

What is the difference between camel and MetaGPT?
camel: CAMEL: The first and the best multi-agent framework. MetaGPT: The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming. See the comparison table for live GitHub stats and shared categories.
When should I choose camel over MetaGPT?
Choose camel over MetaGPT when License: camel is Apache-2.0, MetaGPT is MIT; Pricing: CAMEL is free to use under the Apache 2.0 license, but additional services or support may incur costs.; Requirements: Min 4 GB RAM; CAMEL can be installed via pip, making it easy to integrate into Python-based projects.; Both camel and MetaGPT are multi-agent frameworks that simulate different roles for artificial agents working collaboratively. Camel focuses broadly on scaling laws of agent interactions across various scenarios and environments, whereas MetaGPT specifically models these interactions as a simulated AI software company using GPT models; Tags unique to camel: ai-societies, artificial-intelligence, communicative-ai, cooperative-ai; Use CAMEL when you need a framework that supports real-world use cases, such as infrastructure automation and productivity workflows, where multi-agent systems can provide tangible business value.
When should I choose MetaGPT over camel?
Choose MetaGPT over camel when License: MetaGPT is MIT, camel is Apache-2.0; Both camel and MetaGPT are multi-agent frameworks that simulate different roles for artificial agents working collaboratively. Camel focuses broadly on scaling laws of agent interactions across various scenarios and environments, whereas MetaGPT specifically models these interactions as a simulated AI software company using GPT models; 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 avoid camel?
Avoid CAMEL if your project does not require the specific capabilities of multi-agent systems, such as dynamic resource management or cooperative AI tasks. Do not use CAMEL if your project's requirements are better met by a single-agent system or if the complexity of multi-agent interactions does not add value to your application.
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.
Is camel or MetaGPT more popular on GitHub?
MetaGPT has more GitHub stars (70,484 vs 17,741). Stars measure visibility, not whether either tool fits your constraints.
Are camel and MetaGPT open source?
Yes - both are open-source projects on GitHub (camel: Apache-2.0, MetaGPT: MIT).
Where can I find alternatives to camel or MetaGPT?
GraphCanon lists graph-backed alternatives at camel alternatives and MetaGPT alternatives (camel markdown twin, MetaGPT 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, camel or MetaGPT?
camel: Very active. MetaGPT: 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 camel and MetaGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: camel trust report; MetaGPT trust report.

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