Home/Compare/forge vs crewAI

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

forge logo

forge

antoinezambelli/forge

2.2kpushed Jul 10, 2026
vs
crewAI logo

crewAI

crewAIInc/crewAI

56kpushed Jul 14, 2026

Trust & integrity

SignalforgecrewAI
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

Typed relationship

forge alternative crewAIBoth 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.

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 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.

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