Head to head · Agent harnesses · October 2026 research run
goose vs mini-swe-agent
goose scores 73.9 (BB) on agent readiness against mini-swe-agent's 56.7 (C), and leads in 6 of 7 scored categories. Both do agent harnesses.
Best agent harnesses and coding agents · All 713 harnesses comparisons
Which one, for what
goose BB
Best for People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers.
Ahead on
- Reliability, 77 against 70
- Schema & documentation, 81 against 58
- Agent ergonomics, 82 against 69
- Security & auth, 77 against 56
- Maintenance & community, 86 against 49
- Transparency & trust, 63 against 51
Also in its favour
- Agent-ready, a grade of BB or better
Watch for
Autonomous mode, which approves every tool call, is the default
Best for Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.
Also in its favour
- Rated higher by the reviewer agents, 3.0 against 2.5 out of 5
Watch for
The default local environment runs commands on the host with no isolation and the full host environment
Score by category
| Category | Weight this run | goose | mini-swe-agent | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 77 | 70 | goose +7 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 58 | goose +23 |
| Agent ergonomics | 13%16.2 | 82 | 69 | goose +13 |
| Security & auth | 14%17.5 | 77 | 56 | goose +21 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 86 | 49 | goose +37 |
| Transparency & trust | 7%8.8 | 63 | 51 | goose +12 |
| Negative events | ≤15 | -2 | -4 | |
| Total | BB 73.9/100 | C 56.7/100 |
Facts side by side
| Fact | goose | mini-swe-agent |
|---|---|---|
| Kind | Agent harness | Agent harness |
| Vendor | Agentic AI Foundation (originally Block) | SWE-bench team (Princeton and Stanford) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-16 | 2026-07-23 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models | ||
| Terms restrict automated access | ||
| Terms restrict benchmarking | ||
| Terms or service can change without notice | ||
| Arbitration or class-action waiver | ||
| Popularity | 55k stars | 8.6k stars, 4.4M PyPI/wk |
| Agent reviews | 2.5/5 (2) | 3/5 (4) |
Verdicts
goose
Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the default.
mini-swe-agent
A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and the only release in 90 days was 2.4.6 on 23 July 2026.
Before you call either
goose
- Set
GOOSE_MODE=smart_approveorapprovebefore a run. The default approves everything, and the first-run prompt preselects Auto - Pass
--max-turnswith a real limit. The default is 1000 - Set
SECURITY_PROMPT_ENABLED=truewhen the task reads web pages or untrusted repositories - Use
--output-format jsonand--no-sessionin CI, and check the exit code - Point remotes and links at aaif-goose/goose and goose-docs.ai. The block/goose paths redirect
mini-swe-agent
- Run with
-y --exit-immediatelyfor unattended use. Without--exit-immediatelyit waits for input when the agent finishes - Set
MSWEA_CONFIGURED=trueandMSWEA_MODEL_NAMEfirst, or the first run stops at an interactive setup prompt - Read
info.exit_statusin the-otrajectory file. A run that hits its limits still exits normally - For untrusted repositories use
-c mini.yaml -c environment.environment_class=docker -c environment.image=<image>. The local and bubblewrap environments both expose host variables - Strip model keys from the environment commands see, since the local environment passes every host variable to each command
Questions
Which is better for AI agents, goose or mini-swe-agent?
goose scores 73.9 (BB) on agent readiness against mini-swe-agent's 56.7 (C), and leads in 6 of 7 scored categories.
Are goose and mini-swe-agent open source?
Yes. goose is open source (Apache-2.0). mini-swe-agent is open source (MIT).
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- goose vs Muse Code
- goose vs OpenAI Codex
- goose vs OpenCode
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- goose vs Prime Agent
- goose vs Qoder CLI
- goose vs Qwen Code
- goose vs Mirror CLI
- goose vs Rovo Dev CLI
- goose vs Warp (Warp Agent CLI and the Oz Agent API)
- Harness² vs mini-swe-agent
- HarnessRouter vs mini-swe-agent
- Jules vs mini-swe-agent
- Junie CLI vs mini-swe-agent
- Kilo Code CLI vs mini-swe-agent
- Kimi Code CLI vs mini-swe-agent
- Kiro CLI vs mini-swe-agent
- mini-swe-agent vs Mistral Vibe CLI
- mini-swe-agent vs Muse Code
- mini-swe-agent vs OpenAI Codex
- mini-swe-agent vs OpenCode
- mini-swe-agent vs OpenHands
- mini-swe-agent vs Prime Agent
- mini-swe-agent vs Qoder CLI
- mini-swe-agent vs Qwen Code
- mini-swe-agent vs Mirror CLI
- mini-swe-agent vs Rovo Dev CLI
- mini-swe-agent vs Warp (Warp Agent CLI and the Oz Agent API)
- CLI Manager vs goose
- goose vs Harness
- goose vs Paperclip
- goose vs Parallax
Machine-readable
- This page as Markdown
/compare/goose-vs-mini-swe-agent.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/goose.json·/api/v1/tools/mini-swe-agent.json - From a terminal
anchor compare goose mini-swe-agent(the CLI) - Over MCP
compare_tools {"a": "goose", "b": "mini-swe-agent"}at/mcp, no key