OpenHandsvsSWE-agent
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
OpenHands
OpenHands (All Hands AI) · Autonomous SWE
#8OSSMCP
Panel
7.03 spec wins
- Reliability
- 7.2
- Usefulness
- 7.3
- Cost
- 6.7
- Longevity
- 7.0
“Scores 71.8% on SWE-bench Verified and still needs you to install Docker first.”
SWE-agent
Princeton University and Stanford University · Autonomous SWE
#144OSS
Panel
5.10 spec wins
- Reliability
- 5.5
- Usefulness
- 4.8
- Cost
- 6.5
- Longevity
- 3.7
“Maintenance-only and superseded by a version with mini in the name, which is the most honest changelog on this board.”
Spec by spec
| Spec | OpenHands | SWE-agent |
|---|---|---|
| Architecture | ||
| Category | Autonomous SWE | Autonomous SWE |
| Runs | local, cloud, sandbox | local, sandbox |
| Platforms | macos, linux, windows, web | macos, linux |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | No |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | Yes | Yes |
| Multi-file edits | Yes | Yes |
| Git operations | Yes | Yes |
| Browser control | YesA first-party browser tool driven through the SDK's browser-use guide, with session recording (https://docs.openhands.dev/sdk/guides/agent-browser-use). | No |
| Sandboxed execution | YesDocker is the default sandbox runtime, with Apptainer, remote and API sandboxes as alternatives (https://docs.openhands.dev/openhands/usage/sandboxes/overview). | Yes |
| Multi-agent orchestration | No | No |
| Headless / CI mode | Yes | Yes |
| Models | ||
| Backbone | Claude, GPT, Gemini, Qwen, Kimi, any OpenAI-compatible model | Claude, GPT, any LiteLLM-supported model |
| Bring your own model | YesAny LiteLLM-supported provider, plus AWS Bedrock, Azure, Google and enterprise LLM gateways, are configurable per profile (https://docs.openhands.dev/openhands/usage/llms/litellm-proxy). | Yes |
| Local models | YesDocumented end to end for LM Studio and Ollama, and any OpenAI-compatible base URL can be set in advanced LLM settings. | Yes |
| Cost | ||
| Pricing model | mixed | byok |
| Starts at | $0/mo | $0/mo |
| Free tier | Yes | Yes |
| Bring your own key | Yes | Yes |
| Openness | ||
| Open source | Yes | Yes |
| License | MIT | MIT |
| GitHub stars | 89,764 | 20,455 |
Which one would each critic pick
| Critic | OpenHands | SWE-agent | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.3 | 5.0 | OpenHands — The open autonomous agent to run when you want a sandbox and a pull request instead of a chat; expect setup and a token bill on real repos. |
| El Crítico | 7.0 | 4.8 | OpenHands — The sandbox is real and the leaderboard entry is public, which makes the bill the failure mode: autonomy reads until it stops, and you pay for the reading. |
| El Profesor | 7.5 | 5.8 | OpenHands — A sandboxed agent with a public, maintainer-checked SWE-bench Verified entry; the number is comparable, which is rarer than the number being high. |
| La Inversora | 5.8 | 4.0 | OpenHands — Real adoption, a public benchmark, and a free hosted tier that resells tokens at cost, which is a burn rate with an MIT license on it. |
| La Jefa | 5.8 | 3.8 | OpenHands — Self-hosted in our VPC with SAML on the Enterprise tier is the right shape; the price is custom and the free tiers do not fit sixty seats. |
| El Hacker | 9.0 | 7.5 | OpenHands — MIT, Docker sandbox, any OpenAI-compatible model including local, MCP in a TOML file, a Python SDK; I can run the whole thing on my own iron. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.