Comparison
camel vs agency
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 agency if agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents.
Markdown twin · camel alternatives · agency alternatives
GraphCanon updated 4d
Trust & integrity
| Signal | camel | agency |
|---|---|---|
| Maintenance | Very active (2d since push) As of 4d · github_public_v1 | Steady (40d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of 1mo · 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
- agency
- A fast and minimal framework for building agentic systems
Stars
- camel
- 18k
- agency
- 487
Forks
- camel
- 2.0k
- agency
- 28
Open issues
- camel
- 471
- agency
- 19
Language
- camel
- Python
- agency
- Python
Adopt for
- camel
- CAMEL exemplifies a pioneering multi-agent framework designed to foster advanced interaction among AI agents through collaboration, communication, and learning.
- agency
- Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents.
Persona
- camel
- -
- agency
- -
Runtime
- camel
- -
- agency
- -
License
- camel
- The project uses the Apache 2.0 license, allowing free use, modification, and distribution. It comes with no warranty.
- agency
- MIT
Last pushed
- camel
- Aug 14, 2026
- agency
- Jun 10, 2026
Categories
- camel
- AI Agents
- agency
- AI Agents
Trust and health
Maintenance
- camel
- Very active (96%)
- agency
- Steady (60%)
Days since push
- camel
- 2d
- agency
- 40d
Open issues (now)
- camel
- 471
- agency
- 19
Stars delta
- camel
- +178 (30d)
- agency
- Unknown
Open issues delta
- camel
- +4 (30d)
- agency
- Unknown
Owner type
- camel
- Organization
- agency
- User
Full report
- camel
- Trust report
- agency
- Trust report
Shared compatibility
- Python · camel: Python runtime · agency: Python runtime
Choose camel if…
- License: camel is Apache-2.0, agency is MIT.
- Requirements: Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'..
- Tags unique to camel: agent, communicative-ai, cooperative-ai, deep-learning.
- 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 agency if…
- License: agency is MIT, camel is Apache-2.0.
- Tags unique to agency: actor-model, agent-framework, autonomous-agents.
- When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies.
When NOT to use agency
- If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework.
- In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design.
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 (operand/agency) · observed Jul 21, 2026
- GitHub forks (operand/agency) · observed Jul 21, 2026
- Last push (operand/agency) · observed Jun 10, 2026
- License file (MIT) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: camel 18k · agency 487 (synced Aug 17, 2026).
Common questions
- What is the difference between camel and agency?
- camel: CAMEL: The first and the best multi-agent framework. agency: A fast and minimal framework for building agentic systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose camel over agency?
- Choose camel over agency when License: camel is Apache-2.0, agency is MIT; Requirements: Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'.; Tags unique to camel: agent, communicative-ai, cooperative-ai, deep-learning; 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 agency over camel?
- Choose agency over camel when License: agency is MIT, camel is Apache-2.0; Tags unique to agency: actor-model, agent-framework, autonomous-agents; When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies.
- 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 agency?
- If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework. In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design.
- Is camel or agency more popular on GitHub?
- camel has more GitHub stars (17,592 vs 487). Stars measure visibility, not whether either tool fits your constraints.
- Are camel and agency open source?
- Yes - both are open-source projects on GitHub (camel: Apache-2.0, agency: MIT).
- Where can I find alternatives to camel or agency?
- GraphCanon lists graph-backed alternatives at camel alternatives and agency alternatives (camel markdown twin, agency 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 agency?
- camel: Very active. agency: Steady. 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 agency?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: camel trust report; agency trust report.