Home/Compare/camel vs MetaGPT

Comparison

camel vs MetaGPT

Verdict

Pick camel if cAMEL exemplifies a pioneering multi-agent framework designed to foster advanced interaction among AI agents through collaboration, communication, and learning; pick MetaGPT if metaGPT is a unique framework for creating multi-agent systems aimed at enabling natural language programming through agent interactions.

Markdown twin · camel alternatives · MetaGPT alternatives

GraphCanon updated 1d

camel logo

camel

camel-ai/camel

18kpushed Aug 14, 2026
vs
MetaGPT logo

MetaGPT

FoundationAgents/MetaGPT

70kpushed Jan 21, 2026

Trust & integrity

SignalcamelMetaGPT
Maintenance
Very active (2d since push)
As of 1d · github_public_v1
Slowing (206d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 2d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
2.0k
MetaGPT
8.9k

Open issues

camel
471
MetaGPT
129

Language

camel
Python
MetaGPT
Python

Adopt for

camel
CAMEL exemplifies a pioneering multi-agent framework designed to foster advanced interaction among AI agents through collaboration, communication, and learning.
MetaGPT
MetaGPT is a unique framework for creating multi-agent systems aimed at enabling natural language programming through agent interactions.

Persona

camel
-
MetaGPT
-

Runtime

camel
-
MetaGPT
-

License

camel
The project uses the Apache 2.0 license, allowing free use, modification, and distribution. It comes with no warranty.
MetaGPT
Released under the MIT License, allowing for broad and flexible usage in both academic and commercial settings as long as all copyright and permission notices are maintained.

Last pushed

camel
Aug 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
2d
MetaGPT
206d

Open issues (now)

camel
471
MetaGPT
129

Stars delta

camel
+178 (30d)
MetaGPT
+442 (30d)

Open issues delta

camel
+4 (30d)
MetaGPT
-8 (30d)

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.
  • Requirements: Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'..
  • 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: communicative-ai, cooperative-ai, deep-learning, infrastruture-automation.
  • You should consider using CAMEL if you are involved in developing scenarios where multiple AI agents need to collaborate effectively. It is well-suited for real-world applications such as managing IT/

When NOT to use camel

  • Avoid using CAMEL if your project does not require interactions among multiple agents or if scalability of the multi-agent system is not a priority.
  • Do not opt for CAMEL when you need focused single-agent AI capabilities, as its design centers on multi-agent environments and may impose unnecessary complexity.

Choose MetaGPT if…

  • License: MetaGPT is MIT, camel is Apache-2.0.
  • Pricing: MetaGPT is free to use with an open-source license (MIT), but additional features or services may be available under a non-free model..
  • 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 aim to implement sophisticated, multi-agent software architectures that can interact with each other and respond to human commands in natural language.

When NOT to use MetaGPT

  • Avoid MetaGPT if your requirement is a direct coding environment that focuses on translating human-readable text directly into code without the intermediary of agent interactions.
  • Do not use this framework if your goal is to streamline single-agent AI tasks or deploy simple, straightforward models where multi-agent complexity adds unnecessary overhead.

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 Aug 17, 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; Requirements: Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'.; 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: communicative-ai, cooperative-ai, deep-learning, infrastruture-automation; You should consider using CAMEL if you are involved in developing scenarios where multiple AI agents need to collaborate effectively. It is well-suited for real-world applications such as managing IT/.
When should I choose MetaGPT over camel?
Choose MetaGPT over camel when License: MetaGPT is MIT, camel is Apache-2.0; Pricing: MetaGPT is free to use with an open-source license (MIT), but additional features or services may be available under a non-free model.; 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 aim to implement sophisticated, multi-agent software architectures that can interact with each other and respond to human commands in natural language.
When should I avoid camel?
Avoid using CAMEL if your project does not require interactions among multiple agents or if scalability of the multi-agent system is not a priority. Do not opt for CAMEL when you need focused single-agent AI capabilities, as its design centers on multi-agent environments and may impose unnecessary complexity.
When should I avoid MetaGPT?
Avoid MetaGPT if your requirement is a direct coding environment that focuses on translating human-readable text directly into code without the intermediary of agent interactions. Do not use this framework if your goal is to streamline single-agent AI tasks or deploy simple, straightforward models where multi-agent complexity adds unnecessary overhead.
Is camel or MetaGPT more popular on GitHub?
MetaGPT has more GitHub stars (69,847 vs 17,592). 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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