--- title: "crewAI vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/crewaiinc-crewai-vs-framerslab-agentos" tools: ["crewaiinc-crewai", "framerslab-agentos"] --- # crewAI vs agentos *GraphCanon updated Jul 17, 2026* ## Verdict Pick crewAI if crewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [crewAI](https://crewai.com) reports 56k GitHub stars, 7.8k forks, and 651 open issues, last pushed Jul 14, 2026. [agentos](https://agentos.sh) has 591 stars, 88 forks, and 6 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [crewAI's repository](https://github.com/crewAIInc/crewAI) and [agentos's repository](https://github.com/framerslab/agentos). | | [crewAI](/tools/crewaiinc-crewai.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Framework for orchestrating role-playing AI agents | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 55,546 | 591 | | Forks | 7,835 | 88 | | Open issues | 651 | 6 | | Language | Python | TypeScript | | Adopt for | CrewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [crewAI](/tools/crewaiinc-crewai.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Open issues (now) | 651 | 6 | | Full report | [trust report](/tools/crewaiinc-crewai/trust.md) | [trust report](/tools/framerslab-agentos/trust.md) | **Typed relationship:** crewAI _(alternative)_ agentos CrewAI and AgentOS both support the orchestration of AI agents, but whereas CrewAI focuses on role-playing for fostering collaborative intelligence, AgentOS is built with TypeScript and emphasizes cognitive memory. ## 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. ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose crewAI if… - crewAI is primarily Python; agentos is TypeScript. - License: crewAI is MIT, agentos is Apache-2.0. - CrewAI and AgentOS both support the orchestration of AI agents, but whereas CrewAI focuses on role-playing for fostering collaborative intelligence, AgentOS is built with TypeScript and emphasizes cognitive memory. - 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. ### Choose agentos if… - agentos is primarily TypeScript; crewAI is Python. - License: agentos is Apache-2.0, crewAI is MIT. - CrewAI and AgentOS both support the orchestration of AI agents, but whereas CrewAI focuses on role-playing for fostering collaborative intelligence, AgentOS is built with TypeScript and emphasizes cognitive memory. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ## 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. ## When NOT to use agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between crewAI and agentos? crewAI: Framework for orchestrating role-playing AI agents. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose crewAI over agentos? Choose crewAI over agentos when crewAI is primarily Python; agentos is TypeScript; License: crewAI is MIT, agentos is Apache-2.0; CrewAI and AgentOS both support the orchestration of AI agents, but whereas CrewAI focuses on role-playing for fostering collaborative intelligence, AgentOS is built with TypeScript and emphasizes cognitive memory; 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 choose agentos over crewAI? Choose agentos over crewAI when agentos is primarily TypeScript; crewAI is Python; License: agentos is Apache-2.0, crewAI is MIT; CrewAI and AgentOS both support the orchestration of AI agents, but whereas CrewAI focuses on role-playing for fostering collaborative intelligence, AgentOS is built with TypeScript and emphasizes cognitive memory; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### 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. ### When should I avoid agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is crewAI or agentos more popular on GitHub? crewAI has more GitHub stars (55,546 vs 591). Stars measure visibility, not whether either tool fits your constraints. ### Are crewAI and agentos open source? Yes - both are open-source projects on GitHub (crewAI: MIT, agentos: Apache-2.0). ### Where can I find alternatives to crewAI or agentos? GraphCanon lists graph-backed alternatives at [crewAI alternatives](/tools/crewaiinc-crewai/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([crewAI markdown twin](/tools/crewaiinc-crewai/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/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/crewaiinc-crewai-vs-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, crewAI or agentos? crewAI: Very active. agentos: 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 crewAI and agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [crewAI trust report](/tools/crewaiinc-crewai/trust); [agentos trust report](/tools/framerslab-agentos/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=crewaiinc-crewai`](/api/graphcanon/graph?tool=crewaiinc-crewai) - 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/_