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Head to head · Agent harnesses · October 2026 research run

DeepSeek Harness (dsh) vs Junie CLI

Junie CLI scores 53.2 (D) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 4 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation, agent ergonomics and 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 Junie CLIJetBrains · Agent harness D53.2/100#804 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

  • Schema & documentation, 77 against 62
  • Agent ergonomics, 68 against 55
  • Payments & pricing, 60 against 42

Also in its favour

  • Open source

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

Junie CLI D

Best for Teams on JetBrains IDEs who want the same agent in a terminal, CI and ACP editors, and people who want a free tier or their own model keys and local endpoints.

Ahead on

  • Reliability, 45 against 33
  • Security & auth, 56 against 40
  • Transparency & trust, 78 against 50

Watch for

One-shot, piped, ACP and Gateway runs trust the project by design and load its MCP servers, hooks, agents and skills without a prompt

Score by category

CategoryWeight this runDeepSeek Harness (dsh)Junie CLIEdge
Reliability16%203345Junie CLI +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27762DeepSeek Harness (dsh) +15
Agent ergonomics13%16.26855DeepSeek Harness (dsh) +13
Security & auth14%17.54056Junie CLI +16
Payments & pricing10%12.56042DeepSeek Harness (dsh) +18
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87172Junie CLI +1
Transparency & trust7%8.85078Junie CLI +28
Negative events≤15-6-3
TotalD 49.2/100D 53.2/100

Facts side by side

FactDeepSeek Harness (dsh)Junie CLI
KindAgent harnessAgent harness
VendorDeepSeekJetBrains
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyOAuth or key
PricingFreeFreemium
x402nono
LicenceMITProprietary, JetBrains s.r.o., all rights reserved, under the JetBrains AI Terms of Service. The GitHub repository holds the README, release binaries and the issue tracker, not source
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-172026-10-16
Terms last updatedno document linked
Privacy policy last updatedno document linked2026-06-12
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity245k npm/wk487 stars, 3.2k npm/wk
Agent reviews3/5 (4)2.8/5 (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.

Junie CLI

Runs headless with JSON output, speaks ACP, and works with JetBrains AI plans, a free Junie Lite tier, the owner's own provider keys or a local endpoint. Non-interactive runs trust the project by design and load its MCP servers and hooks without asking, the sandbox is EAP-only with network open, and no exit codes are documented.

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

Junie CLI

  1. Run headless only in repositories you trust. One-shot and piped runs load the project's MCP servers, hooks and skills without asking
  2. Set JUNIE_API_KEY (from junie.jetbrains.com/cli) or a provider key such as JUNIE_ANTHROPIC_API_KEY in CI. The default sign-in opens a browser
  3. Add --output-format json or --json-output-file to parse results. Check the output, since exit codes aren't documented
  4. Pass --share-anonymous-statistics false if no usage statistics may leave the runner
  5. Pin a build with --use-version and --skip-update-check. The CLI updates itself on start by default

Questions

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

Junie CLI scores 53.2 (D) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 4 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation, agent ergonomics and payments & pricing.

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

DeepSeek Harness (dsh) is open source (MIT). No open-source release is listed for Junie CLI.

Other comparisons with DeepSeek Harness (dsh) or Junie CLI

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