Comparison
forge vs crewAI
Verdict
Pick forge if developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge; pick crewAI if crewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks.
Markdown twin · forge alternatives · crewAI alternatives
GraphCanon updated today
Trust & integrity
| Signal | forge | crewAI |
|---|---|---|
| Maintenance | Very active (4d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 2d · osv@v1 | No lockfile (source not queried) As of 6d · 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
- forge
- A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
- crewAI
- Framework for orchestrating role-playing AI agents
Stars
- forge
- 2.2k
- crewAI
- 56k
Forks
- forge
- 166
- crewAI
- 7.8k
Open issues
- forge
- 3
- crewAI
- 651
Language
- forge
- Python
- crewAI
- Python
Adopt for
- forge
- Developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge.
- crewAI
- CrewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks.
Persona
- forge
- -
- crewAI
- -
Runtime
- forge
- -
- crewAI
- -
License
- forge
- MIT
- crewAI
- MIT
Last pushed
- forge
- Jul 10, 2026
- crewAI
- Jul 14, 2026
Categories
- forge
- AI Agents, LLM Frameworks
- crewAI
- AI Agents
Trust and health
Days since push
- forge
- 4d
- crewAI
- 0d
Open issues (now)
- forge
- 3
- crewAI
- 651
Owner type
- forge
- User
- crewAI
- Organization
Full report
- forge
- Trust report
- crewAI
- Trust report
Typed relationship
Shared compatibility
- Python · forge: Python runtime · crewAI: Python runtime
Choose forge if…
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case..
- Both CrewAI and Forge provide frameworks for creating LLM-based agents, with a focus on orchestration. They are similar in function but tailored to different programming environments.
- Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework.
- Also covers LLM Frameworks.
- forge ships Docker support for self-hosted deployment.
- - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic.
When NOT to use forge
- - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup.
- - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management.
- - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services.
Choose crewAI if…
- Both CrewAI and Forge provide frameworks for creating LLM-based agents, with a focus on orchestration. They are similar in function but tailored to different programming environments.
- Tags unique to crewAI: agents, ai-agents, aiagentframework, autonomous-agents.
- When you need to coordinate multiple autonomous AI agents in a cohesive teamworking environment, leveraging their individual capabilities for collective problem-solving.
When NOT to use crewAI
- If your project only requires simple interactions among a few AI bots without necessary orchestration of complex teamwork dynamics.
- In scenarios where real-time decision-making is crucial and the added layer of coordination between agents might introduce latency that can't be tolerated.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (antoinezambelli/forge) · observed Jul 15, 2026
- GitHub forks (antoinezambelli/forge) · observed Jul 15, 2026
- Last push (antoinezambelli/forge) · observed Jul 10, 2026
- License file (MIT) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (crewAIInc/crewAI) · observed Jul 15, 2026
- GitHub forks (crewAIInc/crewAI) · observed Jul 15, 2026
- Last push (crewAIInc/crewAI) · observed Jul 14, 2026
- License file (MIT) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: forge 2.2k · crewAI 56k (synced Jul 15, 2026).
Common questions
- What is the difference between forge and crewAI?
- forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows. crewAI: Framework for orchestrating role-playing AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose forge over crewAI?
- Choose forge over crewAI when Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case.; Both CrewAI and Forge provide frameworks for creating LLM-based agents, with a focus on orchestration. They are similar in function but tailored to different programming environments; Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework; Also covers LLM Frameworks; forge ships Docker support for self-hosted deployment; - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic.
- When should I choose crewAI over forge?
- Choose crewAI over forge when Both CrewAI and Forge provide frameworks for creating LLM-based agents, with a focus on orchestration. They are similar in function but tailored to different programming environments; Tags unique to crewAI: agents, ai-agents, aiagentframework, autonomous-agents; When you need to coordinate multiple autonomous AI agents in a cohesive teamworking environment, leveraging their individual capabilities for collective problem-solving.
- When should I avoid forge?
- - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup. - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management. - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services.
- When should I avoid crewAI?
- If your project only requires simple interactions among a few AI bots without necessary orchestration of complex teamwork dynamics. In scenarios where real-time decision-making is crucial and the added layer of coordination between agents might introduce latency that can't be tolerated.
- Is forge or crewAI more popular on GitHub?
- crewAI has more GitHub stars (55,546 vs 2,174). Stars measure visibility, not whether either tool fits your constraints.
- Are forge and crewAI open source?
- Yes - both are open-source projects on GitHub (forge: MIT, crewAI: MIT).
- Where can I find alternatives to forge or crewAI?
- GraphCanon lists graph-backed alternatives at forge alternatives and crewAI alternatives (forge markdown twin, crewAI 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, forge or crewAI?
- forge: Very active. crewAI: Very active. 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 forge and crewAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: forge trust report; crewAI trust report.