Goose vs OpenHands
Both are catalogued under Coding Agents. The figures come from the GitHub API; the assessments are ours.
GooseExtensible on-machine agent, from BlockOfficialApache-2.0
OpenHandsAutonomous software engineer running in a sandboxed containerOfficialMITAt a glance
| At a glance | Goose | OpenHands |
|---|---|---|
| License | Apache-2.0 | MIT |
| Languages | Rust, TypeScript | Python, TypeScript |
| Deployment | Runs locally | Self-hosted / Runs locally / Managed cloud |
| Maturity | Growing | Established |
| Stars | 52.8k | 84.1k |
| Star growth over the last 7 days | +4 ★ | +23 ★ |
| Forks | 6k | 10.9k |
| Open issues | 285 | 481 |
| Last commit | 14 Aug 2026 | 15 Aug 2026 |
| Activity | Active | Active |
What each one does
Goose
Runs locally as a CLI or desktop app and gains capabilities through MCP extensions rather than a fixed tool list, so the same agent handles code, infrastructure and third-party services. Model-agnostic, which matters if you expect to switch providers.
Full entry →OpenHands
Edits files, runs tests and browses documentation inside an isolated container, so a failed run cannot damage the host. Competitive on SWE-bench style benchmarks, but budget carefully before pointing it at a real repository — long autonomous runs consume a great deal of tokens and still need review before anything is merged.
Full entry →What you can do
Goose
- Run an agent on your machine — Ships as a native desktop app for macOS, Linux and Windows, a CLI installed from the download_cli.sh release script, and an API for embedding the same agent in your own software.
- Add capabilities over MCP — Connects to 70+ extensions through the Model Context Protocol, so new tools and services attach to a running setup instead of requiring a different agent.
- Use the provider you already pay for — Works with 15+ providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure and Bedrock, and can drive existing Claude, ChatGPT or Gemini subscriptions through ACP rather than API keys.
- Ship a preconfigured build — CUSTOM_DISTROS.md documents building your own goose distribution with providers, extensions and branding set in advance — useful when handing the agent to a team.
OpenHands
- Run the whole stack locally —
npm install -g @openhands/agent-canvasinstalls the launcher, and theagent-canvascommand starts the full local stack by default at localhost:8000, with--frontend-onlyand--backend-onlyto run the pieces separately. - Sandbox the agent in Docker — Running
ghcr.io/openhands/agent-canvaswith-v ${PROJECTS_PATH}:/projectsgives the agent access to any project underPROJECTS_PATH, while the npm and from-source launchers carry the README's warning that the agent server has full access to your filesystem. - Switch between agent backends — Agent Canvas talks to OpenHands Agent Servers over REST, one per host/port, so a shared server doing code review and dependency updates and a laptop-local agent sit in the same frontend and are added from the UI.
- Use agents other than OpenHands — Claude Code, Codex, Gemini or any Agent-Client Protocol (ACP) agent runs in the same canvas, and the LLM behind them is yours to choose.
- Automate recurring engineering chores — Paired with the Automation Server, agents run on a schedule or on webhook events — decomposing GitHub issues into tasks, or publishing generated reports to Slack — with integrations for Slack, GitHub, Linear and Notion.