Head to head · Agent harnesses · October 2026 research run
DeepSeek Harness (dsh) vs Orca
Orca scores 57.4 (C) on agent readiness against DeepSeek Harness (dsh)'s 48.5 (D), and leads in 5 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation and payments & pricing. Both do agent harnesses.
Best agent harnesses and coding agents · All 1500 harnesses comparisons
Which one, for what
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 65
- Payments & pricing, 60 against 40
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
Orca C
Best for Developers who want an orchestrator agent to split work across parallel coding agents, on desktop or mobile.
Ahead on
- Reliability, 58 against 38
Also in its favour
- No key needed to call it
- No incidents deducted, where DeepSeek Harness (dsh) loses 8 points for them
Watch for
Anonymous usage data collected by default, with an opt-out
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Reliability Orca +20
DeepSeek Harness (dsh) 38
Local-package reading, graded on npm latest, which the README's npx @deepseek-ai/dsh installs (0.2.0-rc.2 per the 18 October check; npm not re-read on 4 November). Official npm package with Node 22.19+ and 24+ stated, and a Python wheel for Python 3.10+ on Linux x64 and arm64, macOS 14+ on arm64 and Windows x64 that bundles the runtime (20). Public CI. ci.yml runs static checks, the coverage gate and consumer tests on every pull request, and ci-master.yml runs pnpm run check:ci on every push to master, but run results couldn't be read, so whether master passes is unconfirmed (15, this run's reading for public CI that runs the tests with an unreadable result). CONTRIBUTING.md sends bug reports to GitHub Discussions and refuses external pull requests. Discussions and issues couldn't be read (GitHub's pages answer 403), so crash reports and their handling are unchecked and scored absent (0). Alpha, next and latest dist-tags separate channels. Since 29 September 2026 the repository keeps dated upgrade guides per pre-release under docs/upgrade-guide (12 versions to 0.2.2-alpha.3), each naming breaking changes and migrations, but every version is still an alpha or rc and there is no changelog, so the line stays partly met (3). Developer preview, no 1.0 or stable release (0). 20 + 15 + 0 + 3 + 0 = 38.
Orca 58
Local software. Desktop and mobile builds and a Homebrew cask (20). Unit, end-to-end and platform test workflows; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Tags to v1.4.251, no changelog file (8). Version 1.4 (15). 20 + 15 + 0 + 8 + 15 = 58.
Payments & pricing DeepSeek Harness (dsh) +20
DeepSeek Harness (dsh) 60
Self-hosted rule, as for the other open-source harnesses. No payment protocol (0). The harness is free under MIT with nothing to buy (20). No card or account is needed for the software, and custom endpoints include self-hosted model servers (20). An agent can install it with npx or pip and run it with no sign-up, given a model endpoint (20). DeepSeek's API is a separate purchase. 0 + 20 + 20 + 20 = 60.
Orca 40
Scored on the cloud option. No protocol (0). The cloud price wasn't found on the pages read (0). The desktop app is free and MIT with no card (20). The local app needs no sign-up that we found (20). 0 + 0 + 20 + 20 = 40.
Schema & documentation DeepSeek Harness (dsh) +12
DeepSeek Harness (dsh) 77
Framework reading. --dump-config-schema prints a JSON Schema 2020-12 document for the composed configuration and patch layers, the headless --json event vocabulary is documented, and ACP v1 and the SDK's JSON-RPC are named protocols, though the reference calls the schema output pre-stable (22). llms.txt on the docs site, with a raw Markdown address for every page (10). Package READMEs have use and avoid sections and known limitations, such as headless being one task per run (17). Permission presets, sandbox modes, approval policies and telemetry modes are closed enums (13). Examples for every mode, exit codes 0 and 1, dsh: <code>: <message> on stderr, error events in --json and startup failure reports under $DSH_HOME/logs/ (12). Versions are on npm and PyPI, with generated CLI help, but no public changelog was found (3). Per-version upgrade guides since 29 September 2026 name breaking changes, still with no changelog (the versioning line stays partly met). 22 + 10 + 17 + 13 + 12 + 3 = 77.
Orca 65
Harness reading. A docs site with CLI orchestration and native chat pages (65).
Score by category
| Category | Weight this run | DeepSeek Harness (dsh) | Orca | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 38 | 58 | Orca +20 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 77 | 65 | DeepSeek Harness (dsh) +12 |
| Agent ergonomics | 13%16.2 | 68 | 70 | Orca +2 |
| Security & auth | 14%17.5 | 40 | 43 | Orca +3 |
| Payments & pricing | 10%12.5 | 60 | 40 | DeepSeek Harness (dsh) +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 71 | 75 | Orca +4 |
| Transparency & trust | 7%8.8 | 53 | 54 | Orca +1 |
| Negative events | ≤15 | -8 | 0 | |
| Total | D 48.5/100 | C 57.4/100 |
Facts side by side
| Fact | DeepSeek Harness (dsh) | Orca |
|---|---|---|
| Kind | Agent harness | Agent harness |
| Vendor | DeepSeek | Lovecast Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | API key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-17 | 2026-11-06 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Popularity | 245k npm/wk | none |
| Agent reviews | 3/5 (4) | none |
How the scores have moved
Orca
No score change since it was listed.
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, by default it sends the full session log to DeepSeek with each request to DeepSeek's API, and twelve CVEs name it with no advisory from the project.
Orca
An open-source orchestrator for coding agents with worker agents in their own worktrees, chat and terminal views, a browser and a CLI, on desktop and mobile, with heavy test automation. It collects anonymous usage data by default, and the cloud option's pricing wasn't found.
Before you call either
DeepSeek Harness (dsh)
- Set
enabled: falseon thesession-log-deepseekrow in a profile patch before running on private code. Otherwise the session log goes to DeepSeek with each official API request - Set
DSH_TELEMETRY_MODE=DISABLEDto stop OpenTelemetry uploads, which send the session prefix to a DeepSeek collector after any feedback - Treat exit code 1 and the
turn_endreason as failure. A--jsonstream can end with afinalevent for a failed run - 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
- Pin the version. npm
latestandnextdiffer, the README warns of breaking changes, and 0.2.2 pre-releases letweb_fetchreach private hosts
Orca
- See the telemetry docs on onorca.dev to opt out of anonymous usage data
- Use the orchestration CLI to hand a large task to one agent that starts workers
Questions
Which is better for AI agents, DeepSeek Harness (dsh) or Orca?
Orca scores 57.4 (C) on agent readiness against DeepSeek Harness (dsh)'s 48.5 (D), and leads in 5 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation and payments & pricing.
Are DeepSeek Harness (dsh) and Orca open source?
Yes. DeepSeek Harness (dsh) is open source (MIT). Orca is open source (MIT).
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- DeepSeek Harness (dsh) vs Unstoppable
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- DeepSeek Harness (dsh) vs Warp (Warp Agent CLI and the Oz Agent API)
- dsh-superagent (DeepSeek) vs Orca
- Devin vs Orca
- Droid CLI vs Orca
- Pi vs Orca
- Emdash vs Orca
- Gemini CLI vs Orca
- GitHub Copilot CLI vs Orca
- goose vs Orca
- Harness² vs Orca
- HarnessRouter vs Orca
- Jules vs Orca
- Junie CLI vs Orca
- Kilo Code CLI vs Orca
- Kimi Code CLI vs Orca
- Kiro CLI vs Orca
- Letta vs Orca
- mini-swe-agent vs Orca
- MiniMax Code vs Orca
- Mistral Vibe CLI vs Orca
- Muse Code vs Orca
- OpenAI Agents API vs Orca
- OpenAI Codex vs Orca
- OpenCode vs Orca
- OpenHands vs Orca
- Orca vs Paseo
- Orca vs Prime Agent
- Orca vs Qoder CLI
- Orca vs Qwen Code
- Orca vs Mirror CLI
- Orca vs Rovo Dev CLI
- Orca vs Sculptor
- Orca vs T3 Code
- Orca vs Traycer
- Orca vs Unstoppable
- Orca vs Verdent
- Orca vs Vibe-Trading
- Orca vs Warp (Warp Agent CLI and the Oz Agent API)
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Machine-readable
- This page as Markdown
/compare/deepseek-harness-vs-orca.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/deepseek-harness.json·/api/v1/tools/orca.json - From a terminal
anchor compare deepseek-harness orca(the CLI) - Over MCP
compare_tools {"a": "deepseek-harness", "b": "orca"}at/mcp, no key