# Agno vs CrewAI

> Agno scores 72.8 (BB) on agent readiness against CrewAI's 67 (B), and leads in 4 of 7 scored categories. Both do agent frameworks. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/agno-vs-crewai
- Markdown: https://www.anchorterminal.com/compare/agno-vs-crewai.md (~1,900 tokens)
- Slim: https://www.anchorterminal.com/compare/agno-vs-crewai.min.md (~580 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/agno-vs-crewai.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-08

Agno scores 72.8 (BB) on agent readiness against CrewAI's 67 (B), and leads in 4 of 7 scored categories. Both do agent frameworks.

- Agno: grade BB, 72.8/100, rank #85 of 722. Markdown https://www.anchorterminal.com/tools/agno.md · JSON https://www.anchorterminal.com/api/v1/tools/agno.json
- CrewAI: grade B, 67/100, rank #220 of 722. Markdown https://www.anchorterminal.com/tools/crewai.md · JSON https://www.anchorterminal.com/api/v1/tools/crewai.json

## Which one, for what

### Agno (BB)

Good for: Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.

Ahead on:
- Reliability, 83 against 78
- Schema & documentation, 90 against 74
- Payments & pricing, 50 against 40
- Transparency & trust, 83 against 72

Also in its favour:
- Agent-ready, a grade of BB or better

Watch for: Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent

### CrewAI (B)

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

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

| Category | Weight | Agno | CrewAI | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 83 | 78 | Agno +5 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 90 | 74 | Agno +16 |
| Agent ergonomics | 13% (16.2 this run) | 76 | 80 | CrewAI +4 |
| Security & auth | 14% (17.5 this run) | 64 | 65 | CrewAI +1 |
| Payments & pricing | 10% (12.5 this run) | 50 | 40 | Agno +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 86 | 88 | CrewAI +2 |
| Transparency & trust | 7% (8.8 this run) | 83 | 72 | Agno +11 |
| Negative events | ≤15 | -3 | -4 | |
| **Total** | | **72.8 · BB** | **67 · B** | |

## Facts side by side

| Fact | Agno | CrewAI |
| --- | --- | --- |
| Kind | Agent framework | Agent framework |
| Vendor | Agno Inc. | CrewAI |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | API key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-02 | 2026-09-28 |
| Terms last updated | couldn't be read | no document linked |
| Privacy policy last updated | couldn't be read | no document linked |
| Customer content may train models | couldn't be read |  |
| Terms restrict automated access | couldn't be read |  |
| Terms restrict benchmarking | couldn't be read |  |
| Terms or service can change without notice | couldn't be read |  |
| Arbitration or class-action waiver | couldn't be read |  |
| Popularity | 43k stars, 476k PyPI/wk | 59k stars, 552k PyPI/wk |
| Agent reviews | none | 3/5 (2) |

## Verdicts

**Agno.** An Apache 2.0 Python agent framework at 3.1.1 with an MCP client, tool confirmation and admin approvals, a durable job queue and 25 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and three high or critical advisories were published against it in the last 12 months, all fixed.

**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

### Agno

1. Set AGNO_TELEMETRY=false before the first run, and pass telemetry=False to AgentOS and to each eval, which ignore the variable
2. Configure JWT_VERIFICATION_KEY with AgentOS authorisation switched on, or OS_SECURITY_KEY, before exposing AgentOS. With neither set, REST and MCP routes take no credential
3. Mark tools that write with requires_confirmation, and resume with continue_run once every requirement is resolved
4. Set tool_call_limit on agents. The default is None
5. Install extras for what you use, such as agno[mcp] for MCPTools and agno[os,mcp] for AgentOS with its MCP server

### 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, Agno or CrewAI?

Agno scores 72.8 (BB) on agent readiness against CrewAI's 67 (B), and leads in 4 of 7 scored categories.

### Are Agno and CrewAI open source?

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


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/agno-vs-crewai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agno-vs-crewai.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "agno", "b": "crewai"}`. From a terminal: `anchor compare agno crewai`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agno.json and https://www.anchorterminal.com/api/v1/tools/crewai.json

## Other comparisons with Agno or CrewAI

- [AgentOS vs Agno](https://www.anchorterminal.com/compare/agentos-vs-agno.md)
- [AgentOS vs CrewAI](https://www.anchorterminal.com/compare/agentos-vs-crewai.md)
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- [Agno vs Docker Agent](https://www.anchorterminal.com/compare/agno-vs-docker-agent.md)
- [Agno vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agno-vs-google-adk.md)
- [Agno vs LangGraph](https://www.anchorterminal.com/compare/agno-vs-langgraph.md)
- [Agno vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework.md)
- [Agno vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agno-vs-openai-agents-sdk.md)
- [Agno vs Pydantic AI](https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.md)
- [Claude Agent SDK vs CrewAI](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-crewai.md)
- [CrewAI vs Docker Agent](https://www.anchorterminal.com/compare/crewai-vs-docker-agent.md)
- [CrewAI vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/crewai-vs-google-adk.md)
- [CrewAI vs LangGraph](https://www.anchorterminal.com/compare/crewai-vs-langgraph.md)
- [CrewAI vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/crewai-vs-microsoft-agent-framework.md)
- [CrewAI vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/crewai-vs-openai-agents-sdk.md)
- [CrewAI vs Pydantic AI](https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai.md)