Comparison
crewAI vs agentos
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.
Markdown twin · crewAI alternatives · agentos alternatives
GraphCanon updated today
Trust & integrity
| Signal | crewAI | agentos |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 6d · 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
- 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
Stars
- crewAI
- 56k
- agentos
- 591
Forks
- crewAI
- 7.8k
- agentos
- 88
Open issues
- crewAI
- 651
- agentos
- 6
Language
- crewAI
- Python
- agentos
- TypeScript
Adopt for
- crewAI
- CrewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks.
- agentos
- AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.
Persona
- crewAI
- -
- agentos
- -
Runtime
- crewAI
- -
- agentos
- -
License
- crewAI
- MIT
- agentos
- Apache-2.0
Last pushed
- crewAI
- Jul 14, 2026
- agentos
- Jul 11, 2026
Categories
- crewAI
- AI Agents
- agentos
- AI Agents
Trust and health
Open issues (now)
- crewAI
- 651
- agentos
- 6
Full report
- crewAI
- Trust report
- agentos
- Trust report
Typed relationship
crewAI alternative agentosCrewAI 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.
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.
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.
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 agentos
- Preferring frameworks without multi-agent orchestration support
- Prioritizing environments with less than eleven LLM provider options
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (framerslab/agentos) · observed Jul 11, 2026
- GitHub forks (framerslab/agentos) · observed Jul 11, 2026
- Last push (framerslab/agentos) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: crewAI 56k · agentos 591 (synced Jul 15, 2026).
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 and agentos alternatives (crewAI markdown twin, agentos 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, 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; agentos trust report.