AgnovsCrewAI
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Agno
Agno · Agent framework
OSSMCP
Panel
7.02 spec wins
- Reliability
- 6.8
- Usefulness
- 7.2
- Cost
- 7.2
- Longevity
- 6.8
“The recommended way to set it up is to paste a prompt into Claude Code and let it read the README for you.”
CrewAI
CrewAI · Agent framework
OSSMCP
Panel
6.61 spec wins
- Reliability
- 6.0
- Usefulness
- 6.5
- Cost
- 7.0
- Longevity
- 6.8
“The scaffold command is crewai create crew my_crew, the only place the word appears three times without a boat.”
Spec by spec
| Spec | Agno | CrewAI |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local, cloud | local, cloud |
| Platforms | macos, linux, windows | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | Yes |
| MCP server | Yes | No |
| Capabilities | ||
| Runs terminal commands | Yes | No |
| Multi-file edits | No | No |
| Git operations | No | No |
| Browser control | Yes | YesMost crewai-tools web tools only scrape HTML, but StagehandTool drives a real browser with act, extract and observe primitives that click, type and fill forms. |
| Sandboxed execution | Yes | YesCodeInterpreterTool runs generated code in an isolated Docker container by default, and crewai-tools also ships E2B and Daytona sandbox tools; unsafe_mode=True opts out. |
| Multi-agent orchestration | Yes | Yes |
| Headless / CI mode | Yes | Yes |
| Models | ||
| Backbone | Anthropic, OpenAI, Google, AWS Bedrock, Azure, Mistral, Groq, Cohere, Ollama | OpenAI, Anthropic, Ollama, any LiteLLM provider |
| Bring your own model | Yes | Yes |
| Local models | Yes | YesAn Agent's LLM takes a base_url, so Ollama at http://localhost:11434 or any OpenAI-compatible endpoint set through OPENAI_API_BASE works. |
| Cost | ||
| Pricing model | byok | byok |
| Starts at | $0/mo | $0/mo |
| Free tier | Yes | Yes |
| Bring your own key | Yes | Yes |
| Openness | ||
| Open source | Yes | Yes |
| License | Apache-2.0 | MIT |
| GitHub stars | 42,478 | 59,277 |
Which one would each critic pick
| Critic | Agno | CrewAI | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.5 | 7.0 | Agno — Pick Agno if you write Python and want the agent running as a service with an API and a UI by tonight; pick LangGraph if you want to draw the graph and own the plumbing. |
| El Crítico | 6.5 | 6.3 | Agno — Formerly phidata, now a framework plus an AgentOS runtime with fifty-plus endpoints to keep stable; two repositionings in one project's life is the risk. |
| El Profesor | 6.8 | 6.3 | Agno — Context arrives through providers that pull live data from Slack, Drive, wikis and MCP; state lives in the user's own database; verification is left to evals, and no benchmark is published. |
| La Inversora | 7.0 | 6.5 | Agno — Agno Inc sells the control plane, meters live connections at $95 each rather than events, and shows UnitedHealth, IBM and a Fortune 5 logo, which is a Series B deck in one screenshot. |
| La Jefa | 6.5 | 6.0 | Agno — Pro is $150 a month for three seats, then $30 a seat: $1,860 for sixty, plus a $300 SAML add-on, and audit logs wait in Enterprise; telemetry is on until AGNO_TELEMETRY=false. |
| El Hacker | 7.8 | 7.5 | Agno — Apache-2.0, pip install agno, Ollama on the list, a Postgres I run, and the agents come out as an MCP server; the control plane is hosted, and self-hosting it is an Enterprise add-on. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.