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
Trust & integrity
| Signal | camel | MetaGPT |
|---|---|---|
| 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
- 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.
- 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 (camel-ai/camel) · observed Sep 20, 2026
- GitHub forks (camel-ai/camel) · observed Sep 20, 2026
- Last push (camel-ai/camel) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- 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 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.