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
Trust & integrity
| Signal | camel | MetaGPT |
|---|---|---|
| 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
- camel
- Trust report
- MetaGPT
- Trust report
Typed relationship
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 (camel-ai/camel) · observed Aug 17, 2026
- GitHub forks (camel-ai/camel) · observed Aug 17, 2026
- Last push (camel-ai/camel) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (FoundationAgents/MetaGPT) · observed Aug 16, 2026
- GitHub forks (FoundationAgents/MetaGPT) · observed Aug 16, 2026
- Last push (FoundationAgents/MetaGPT) · observed Jan 21, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.