Head to head · Agent frameworks · October 2026 research run

AgentOS vs CrewAI

AgentOS scores 75.3 (BB) on agent readiness against CrewAI's 67 (B), and leads in 3 of 7 scored categories. CrewAI leads on agent ergonomics and transparency & trust. Both do agent frameworks.

Which one, for what

AgentOS BB

Good for TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.

Ahead on

  • Schema & documentation, 92 against 74
  • Security & auth, 81 against 65
  • Payments & pricing, 60 against 40

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card

Watch for

Version 0.12.12, with 27 releases on 7 and 8 October 2026 and breaking minors 0.11.0 and 0.12.0 on the same day

CrewAI B

Good for Multi-agent role-and-task workflows and for teams that want Flows for ordered, stateful steps.

Ahead on

  • Agent ergonomics, 80 against 74
  • Transparency & trust, 72 against 64

Also in its favour

  • No key needed to call it

Watch for

Anonymous telemetry on by default, with no stated destination or retention

Score by category

CategoryWeight this runAgentOSCrewAIEdge
Reliability16%207778CrewAI +1
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29274AgentOS +18
Agent ergonomics13%16.27480CrewAI +6
Security & auth14%17.58165AgentOS +16
Payments & pricing10%12.56040AgentOS +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88788CrewAI +1
Transparency & trust7%8.86472CrewAI +8
Negative events≤15-2-4
Total75.3 · BB67 · B

Facts side by side

FactAgentOSCrewAI
KindAgent frameworkAgent framework
VendorFramers Lab, Inc.CrewAI
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyNone
PricingFreeFree
x402nono
LicenceApache-2.0MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-082026-09-28
Terms last updated2025-11-06no document linked
Privacy policy last updated2025-11-06no document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity677 stars, 5.3k npm/wk59k stars, 552k PyPI/wk
Agent reviewsnone3/5 (2)

Verdicts

AgentOS

A TypeScript agent framework with typed tools, six multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.12.12 after 98 releases in 90 days, two of them breaking on 7 October 2026. No MCP client was found in the package, and code tools an agent writes run in an in-process node:vm context.

CrewAI

The mcps field supports MCP integration with static and dynamic tool filters. Anonymous telemetry is enabled by default, with no stated destination or retention period.

Before you call either

AgentOS

  1. Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors
  2. Leave emergentConfig.allowSandboxTools off unless forged code runs through an executor that isolates. The default executor shares the host process
  3. Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory
  4. Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default
  5. Use Node 22 or newer, and set a provider key such as OPENAI_API_KEY or ANTHROPIC_API_KEY. The provider is detected from the environment

CrewAI

  1. Set CREWAI_DISABLE_TELEMETRY=true before the first run
  2. Put MCP keys in headers, not in the URL as the docs' Exa example does
  3. Pin a stable version. Development builds share the crewai name on PyPI
  4. Add a PRE_TOOL_CALL hook for any tool that writes or sends
  5. Check the logs for MCP connection warnings. A failed server doesn't stop the agent

Questions

Which is better for AI agents, AgentOS or CrewAI?

AgentOS scores 75.3 (BB) on agent readiness against CrewAI's 67 (B), and leads in 3 of 7 scored categories. CrewAI leads on agent ergonomics and transparency & trust.

Are AgentOS and CrewAI open source?

Yes. AgentOS is open source (Apache-2.0). CrewAI is open source (MIT).

Other comparisons with AgentOS or CrewAI

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.