--- title: "forge vs crewAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/antoinezambelli-forge-vs-crewaiinc-crewai" tools: ["antoinezambelli-forge", "crewaiinc-crewai"] --- # forge vs crewAI *GraphCanon updated Jul 17, 2026* ## 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. [forge](https://github.com/antoinezambelli/forge) reports 2.2k GitHub stars, 166 forks, and 3 open issues, last pushed Jul 10, 2026. [crewAI](https://crewai.com) has 56k stars, 7.8k forks, and 651 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [forge's repository](https://github.com/antoinezambelli/forge) and [crewAI's repository](https://github.com/crewAIInc/crewAI). | | [forge](/tools/antoinezambelli-forge.md) | [crewAI](/tools/crewaiinc-crewai.md) | | --- | --- | --- | | Tagline | A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows | Framework for orchestrating role-playing AI agents | | Stars | 2,174 | 55,546 | | Forks | 166 | 7,835 | | Open issues | 3 | 651 | | Language | Python | Python | | Adopt for | 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 is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [forge](/tools/antoinezambelli-forge.md) | [crewAI](/tools/crewaiinc-crewai.md) | | --- | --- | --- | | Days since push | 4d | 0d | | Open issues (now) | 3 | 651 | | Owner type | User | Organization | | Full report | [trust report](/tools/antoinezambelli-forge/trust.md) | [trust report](/tools/crewaiinc-crewai/trust.md) | **Typed relationship:** forge _(alternative)_ crewAI 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. ## Shared compatibility - **Python**: [forge](/tools/antoinezambelli-forge.md) - Python runtime; [crewAI](/tools/crewaiinc-crewai.md) - Python runtime ## Decision facts: forge - **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. - **Adopt for:** 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. ## Decision facts: crewAI - **Adopt for:** CrewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/antoinezambelli-forge/alternatives) and [crewAI alternatives](/tools/crewaiinc-crewai/alternatives) ([forge markdown twin](/tools/antoinezambelli-forge/alternatives.md), [crewAI markdown twin](/tools/crewaiinc-crewai/alternatives.md)), 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](/compare/antoinezambelli-forge-vs-crewaiinc-crewai.md) 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](/tools/antoinezambelli-forge/trust); [crewAI trust report](/tools/crewaiinc-crewai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=antoinezambelli-forge`](/api/graphcanon/graph?tool=antoinezambelli-forge) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_