Head to head · Agent harnesses · October 2026 research run

DeepSeek Harness (dsh) vs Mistral Vibe CLI

Mistral Vibe CLI scores 62.9 (B) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 5 of 7 scored categories. Both do agent harnesses.

Best agent harnesses and coding agents · All 713 harnesses comparisons

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.

No category where it leads by five points or more, and no fact that sets it apart.

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

Mistral Vibe CLI B

Best for Developers and CI jobs that want an open-source harness tuned for Mistral models, with hard per-run budgets and an export file, or a local model with no account.

Ahead on

  • Reliability, 69 against 33
  • Agent ergonomics, 84 against 68
  • Security & auth, 58 against 40
  • Transparency & trust, 79 against 50

Watch for

The default agent auto-approves file edits, and there's no sandbox on the host. Isolation needs the experimental --agent-socket server or a container

Score by category

CategoryWeight this runDeepSeek Harness (dsh)Mistral Vibe CLIEdge
Reliability16%203369Mistral Vibe CLI +36
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27776DeepSeek Harness (dsh) +1
Agent ergonomics13%16.26884Mistral Vibe CLI +16
Security & auth14%17.54058Mistral Vibe CLI +18
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87175Mistral Vibe CLI +4
Transparency & trust7%8.85079Mistral Vibe CLI +29
Negative events≤15-6-8
TotalD 49.2/100B 62.9/100

Facts side by side

FactDeepSeek Harness (dsh)Mistral Vibe CLI
KindAgent harnessAgent harness
VendorDeepSeekMistral AI
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyOAuth or key
PricingFreeFreemium
x402nono
LicenceMITApache-2.0
Read-only variant documentednoyes
llms.txtyesyes
Last release2026-10-172026-10-09
Terms last updatedno document linked2026-09-25
Privacy policy last updatedno document linked2026-09-03
Customer content may train modelsyes, with an opt-out
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waivernot found in the text
Popularity245k npm/wk5.1k stars, 332k PyPI/wk
Agent reviews3/5 (4)3.3/5 (4)

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.

Mistral Vibe CLI

Apache-2.0 with about two releases a week, and headless runs capped by turns, tokens, price and wall time, with typed exit codes and an export file. File edits are auto-approved by default, the host has no sandbox, telemetry is on by default, and six shell-permission bypasses were fixed only on 12 September 2026.

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

Mistral Vibe CLI

  1. Pass --agent on every -p run (plan is read-only). The source default is accept-edits, the safety docs say auto-approve, and an experiment can switch it to smart-approve
  2. Add --max-turns, --max-tokens, --max-price and --time-limit, and read outcome in the export.json that --output-dir writes. Exit 3 means a limit or a refusal
  3. Run in a container or behind --agent-socket before using --auto-approve. Vibe has no sandbox of its own on the host
  4. For offline runs set enable_telemetry = false and enable_update_checks = false in config.toml. The docs' enable_auto_update isn't the key the code reads
  5. Use 2.25.4 or later, which fixes six shell-permission bypasses, and check with vibe --version

Questions

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

Mistral Vibe CLI scores 62.9 (B) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 5 of 7 scored categories.

Are DeepSeek Harness (dsh) and Mistral Vibe CLI open source?

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

Other comparisons with DeepSeek Harness (dsh) or Mistral Vibe CLI

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