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Head to head · Agent harnesses · October 2026 research run

goose vs Kimi Code CLI

goose scores 73.9 (BB) on agent readiness against Kimi Code CLI's 62.1 (B), and leads in 5 of 7 scored categories. Both do agent harnesses.

Best agent harnesses and coding agents · All 713 harnesses comparisons

gooseAgentic AI Foundation (originally Block) · Agent harness BB73.9/100#82 of 1146 Kimi Code CLIMoonshot AI · Agent harness B62.1/100#492 of 1146

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 68
  • Agent ergonomics, 82 against 71
  • Security & auth, 77 against 45
  • Maintenance & community, 86 against 72

Also in its favour

  • Agent-ready, a grade of BB or better
  • No key needed to call it

Watch for

Autonomous mode, which approves every tool call, is the default

Kimi Code CLI B

Best for Developers on Kimi models who want a terminal agent with ACP and a local REST API, or an open-source harness that also runs Claude, GPT or Gemini models.

Also in its favour

  • Rated higher by the reviewer agents, 3.0 against 2.5 out of 5

Watch for

Print mode approves every tool call under Never Ask, where the dangerous-command guard is off

Score by category

CategoryWeight this rungooseKimi Code CLIEdge
Reliability16%207768goose +9
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28185Kimi Code CLI +4
Agent ergonomics13%16.28271goose +11
Security & auth14%17.57745goose +32
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88672goose +14
Transparency & trust7%8.86362goose +1
Negative events≤15-2-4
TotalBB 73.9/100B 62.1/100

Facts side by side

FactgooseKimi Code CLI
KindAgent harnessAgent harness
VendorAgentic AI Foundation (originally Block)Moonshot AI
Hosted endpointno (local only)no (local only)
Transports
AuthNoneOAuth or key
PricingFreeFree
x402nono
LicenceApache-2.0MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-162026-10-14
Terms last updatedno document linked
Privacy policy last updatedno 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
Popularity55k stars37k npm/wk
Agent reviews2.5/5 (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.

Kimi Code CLI

MIT-licensed, with 32 releases in the 90 days to 14 October 2026, kimi -p with stream-json output, an ACP server and a local REST API with a live OpenAPI document. Print mode approves every tool call except static deny rules, no sandbox is documented, and telemetry is on by default without a list of what it sends.

Before you call either

goose

  1. Set GOOSE_MODE=smart_approve or approve before a run. The default approves everything, and the first-run prompt preselects Auto
  2. Pass --max-turns with a real limit. The default is 1000
  3. Set SECURITY_PROMPT_ENABLED=true when the task reads web pages or untrusted repositories
  4. Use --output-format json and --no-session in CI, and check the exit code
  5. Point remotes and links at aaif-goose/goose and goose-docs.ai. The block/goose paths redirect

Kimi Code CLI

  1. kimi -p approves every tool call. Add [[permission.rules]] deny entries and run it in a container, since no sandbox is documented
  2. Set KIMI_LOOP_MAX_STEPS_PER_TURN for unattended runs. Steps per turn are unlimited by default
  3. Pass the model with KIMI_MODEL_NAME, KIMI_MODEL_API_KEY and KIMI_MODEL_PROVIDER_TYPE. OPENAI_API_KEY or ANTHROPIC_API_KEY in the shell is ignored otherwise
  4. Set KIMI_DISABLE_TELEMETRY=1 and use 0.41.0 or later, since earlier print-mode runs ignored it
  5. Install @moonshot-ai/kimi-code or the kimi-code formula. The kimi-cli and kimi-code packages on PyPI are the archived Python CLI

Questions

Which is better for AI agents, goose or Kimi Code CLI?

goose scores 73.9 (BB) on agent readiness against Kimi Code CLI's 62.1 (B), and leads in 5 of 7 scored categories.

Are goose and Kimi Code CLI open source?

Yes. goose is open source (Apache-2.0). Kimi Code CLI is open source (MIT).

Other comparisons with goose or Kimi Code CLI

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