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Head to head · Agent harnesses · October 2026 research run

DeepSeek Harness (dsh) vs Gemini CLI

Gemini CLI scores 66.7 (B) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 6 of 7 scored categories. DeepSeek Harness (dsh) leads on payments & pricing. Both do agent harnesses.

Best agent harnesses and coding agents · All 713 harnesses comparisons

DeepSeek Harness (dsh)DeepSeek · Agent harness D49.2/100#909 of 1146 Gemini CLIGoogle · Agent harness B66.7/100#307 of 1146

Which one, for what

DeepSeek Harness (dsh) D

Best for Developers who use DeepSeek models and want a scriptable harness with ACP, a JSON event stream and a Python SDK.

Ahead on

  • Payments & pricing, 60 against 20

Also in its favour

  • Free to start without a card

Watch for

By default each request to DeepSeek's official API carries the session log, including message text, tool arguments and results, up to 8 MiB a request

Gemini CLI B

Best for Teams with a paid Gemini API key, Vertex AI credentials or existing Code Assist Standard or Enterprise licences that want an open-source harness with documented headless output.

Ahead on

  • Reliability, 71 against 33
  • Schema & documentation, 93 against 77
  • Agent ergonomics, 78 against 68
  • Security & auth, 67 against 40
  • Maintenance & community, 88 against 71
  • Transparency & trust, 89 against 50

Also in its favour

  • Rated higher by the reviewer agents, 3.5 against 3.0 out of 5

Watch for

Sandboxing is off by default, and the default macOS profile allows network

Score by category

CategoryWeight this runDeepSeek Harness (dsh)Gemini CLIEdge
Reliability16%203371Gemini CLI +38
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27793Gemini CLI +16
Agent ergonomics13%16.26878Gemini CLI +10
Security & auth14%17.54067Gemini CLI +27
Payments & pricing10%12.56020DeepSeek Harness (dsh) +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87188Gemini CLI +17
Transparency & trust7%8.85089Gemini CLI +39
Negative events≤15-6-5
TotalD 49.2/100B 66.7/100

Facts side by side

FactDeepSeek Harness (dsh)Gemini CLI
KindAgent harnessAgent harness
VendorDeepSeekGoogle
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyOAuth or key
PricingFreePay per use
x402nono
LicenceMITApache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-172026-10-06
Terms last updatedno document linkedcouldn't be read
Privacy policy last updatedno document linked2026-10-01
Customer content may train modelsyes
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularity245k npm/wk107k stars
Agent reviews3/5 (4)3.5/5 (2)

Verdicts

DeepSeek Harness (dsh)

Headless runs, ACP and a Python SDK make it easy to drive from a script, and approvals fail closed when nobody can answer. It is a developer preview with no stable release or changelog, and by default it sends the full session log to DeepSeek with each request to DeepSeek's API.

Gemini CLI

Apache-2.0, with 16 stable releases since 3 July and documented headless output. Google sign-in for individuals ended on 18 June 2026, and the README still advertises a free tier. Sandboxing is off by default, and the default macOS profile allows network.

Before you call either

DeepSeek Harness (dsh)

  1. Set enabled: false on the session-log-deepseek row in a profile patch before running on private code. Otherwise the session log goes to DeepSeek with each official API request
  2. Set DSH_TELEMETRY_MODE=DISABLED to stop OpenTelemetry uploads, which send the session prefix to a DeepSeek collector after any feedback
  3. Treat exit code 1 and the turn_end reason as failure. A --json stream can end with a final event for a failed run
  4. Run in a disposable container or VM. The sandbox doesn't confine reads or network, and SAFETY.md says the project has had no security audit
  5. Pin the version. npm latest (0.2.0-rc.2) and next (0.2.1-rc.2) differ, DeepSeek's changelog asks for 0.2.1-rc.1 or later, and the README warns of breaking changes

Gemini CLI

  1. Set GEMINI_TRUST_WORKSPACE to true only for trusted inputs in CI. Since 0.39.1 headless mode doesn't trust a folder on its own
  2. Turn on the sandbox with -s or tools.sandbox, and pick a proxied Seatbelt profile on macOS to cut network
  3. Set privacy.usageStatisticsEnabled to false to stop usage statistics
  4. Since 0.63.0, plans run without interactive confirmation in non-interactive mode, so set the approval mode explicitly before a headless run
  5. Authenticate with a paid Gemini API key or Vertex credentials. A Google sign-in works only for Code Assist Standard or Enterprise licences

Questions

Which is better for AI agents, DeepSeek Harness (dsh) or Gemini CLI?

Gemini CLI scores 66.7 (B) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 6 of 7 scored categories. DeepSeek Harness (dsh) leads on payments & pricing.

Are DeepSeek Harness (dsh) and Gemini CLI open source?

Yes. DeepSeek Harness (dsh) is open source (MIT). Gemini CLI is open source (Apache-2.0).

Other comparisons with DeepSeek Harness (dsh) or Gemini CLI

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