AgentFieldvsCrewAI
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
AgentField
AgentField · Agent framework
OSSMCP
Panel
6.73 spec wins
- Reliability
- 6.0
- Usefulness
- 6.5
- Cost
- 8.5
- Longevity
- 5.8
“Installing the control plane also puts an icon in your menu bar, so distributed systems have finally reached the toolbar.”
CrewAI
CrewAI · Agent framework
OSSMCP
Panel
6.62 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 | AgentField | CrewAI |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local, cloud | local, cloud |
| Platforms | macos, linux | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | Yes |
| MCP server | Yes | No |
| Capabilities | ||
| Runs terminal commands | YesThrough the harness layer, which runs AForge or an external coding agent for multi-turn tasks; the agent functions themselves are ordinary code. | No |
| Multi-file edits | Yes | No |
| Git operations | No | No |
| Browser control | No | 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 | YesThe prompt-to-production flow emits a Docker Compose stack for the agent and control plane. | 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 | 100+ models via LiteLLM, Anthropic, OpenAI | OpenAI, Anthropic, Ollama, any LiteLLM provider |
| Bring your own model | Yes | Yes |
| Local models | YesModels are addressed through LiteLLM, which routes to local providers such as Ollama as well as hosted APIs. | 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 | 2,600 | 59,277 |
Which one would each critic pick
| Critic | AgentField | CrewAI | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.0 | 7.0 | no preference |
| El Crítico | 6.3 | 6.3 | no preference |
| El Profesor | 7.0 | 6.3 | AgentField — The harness layer swaps between its own coding agent and five external ones by changing one argument, which assumes an equivalence nothing has demonstrated. |
| La Inversora | 6.0 | 6.5 | CrewAI — Used by 65% of the Fortune 500 is the claim, a 45-day onboarding is the offer, and forward-deployed engineers a la carte is the business: a services company with a popular library on top. |
| La Jefa | 6.3 | 6.0 | AgentField — No licence cost across sixty engineers, it executes unattended so it can carry scheduled work, and the installer is shaped for a laptop rather than a server. |
| El Hacker | 7.8 | 7.5 | AgentField — Apache-2.0, a one-line install or a pip package, MCP served as well as consumed, and LiteLLM in the middle so Ollama is just another route. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.