# DeepSeek Harness (dsh) vs Emdash

> Emdash scores 53.9 (D) to DeepSeek Harness's 48.5 (D) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/deepseek-harness-vs-emdash
- Markdown: https://www.anchorterminal.com/compare/deepseek-harness-vs-emdash.md (~5,450 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

Emdash scores 53.9 (D) on agent readiness against DeepSeek Harness (dsh)'s 48.5 (D), and leads in 2 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation and agent ergonomics. Both do agent harnesses.

- DeepSeek Harness (dsh): grade D, 48.5/100, rank #1111 of 1486. Markdown https://www.anchorterminal.com/tools/deepseek-harness.md · JSON https://www.anchorterminal.com/api/v1/tools/deepseek-harness.json
- Emdash: grade D, 53.9/100, rank #927 of 1486. Markdown https://www.anchorterminal.com/tools/emdash.md · JSON https://www.anchorterminal.com/api/v1/tools/emdash.json
- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md
- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md

## Which one, for what

### DeepSeek Harness (dsh) (D)

Good 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 55
- Agent ergonomics, 68 against 55

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

### Emdash (D)

Good for: Developers who want parallel agents in worktrees, fed from their issue tracker, locally or over SSH.

Ahead on:
- Reliability, 55 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: Telemetry on unless turned off in Settings or with TELEMETRY_ENABLED=false


## Why the edge

### Schema & documentation: DeepSeek Harness (dsh) +22

- 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.
- Emdash (55): Harness reading. Docs site and a workspace server package (55).

### Reliability: Emdash +17

- 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.
- Emdash (55): Local software. Homebrew cask and installers for macOS, Windows and Linux (20). A code-consistency check and release workflows; no test workflow found (10). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Stable tags to v1.2.11, release notes on GitHub (10). Version 1.2.11 (15). 20 + 10 + 0 + 10 + 15 = 55.

### Agent ergonomics: DeepSeek Harness (dsh) +13

- DeepSeek Harness (dsh) (68): Harness reading, scored on what a pipeline driving it has to supply. Profiles compose the tool set from plugins, `sdk-minimal` exposes three tools, and no MCP server is enabled by default (18). Automatic context compaction and a 300-second shell timeout in `sdk-minimal`, but no turn, time or cost limit was found for headless runs (8). Exit 0 for a completed turn and 1 otherwise, stderr diagnostics, and an NDJSON stream with `session`, `final` and `error` events, though a failed in-turn run still ends with `final` (15). `--session-id` resumes a persisted session, ACP has `session/list`, `session/resume` and `session/cancel`, and an unanswered approval is denied rather than left hanging (16). One-argument headless runs, ACP and a Python SDK, and the repository also holds a TypeScript SDK client (`@deepseek-ai/dsh-sdk-client`) that the Python guide mentions once. Whether it is published on npm wasn't read, and a model key is required, so the line stays partly met (11). 18 + 8 + 15 + 16 + 11 = 68.
- Emdash (55): Harness reading. Issue intake from Linear, GitHub, Jira and others, diff review, pull requests and CI checks in one place, local or over SSH (55).

## Score by category

| Category | Weight | DeepSeek Harness (dsh) | Emdash | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 38 | 55 | Emdash +17 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 77 | 55 | DeepSeek Harness (dsh) +22 |
| Agent ergonomics | 13% (16.2 this run) | 68 | 55 | DeepSeek Harness (dsh) +13 |
| Security & auth | 14% (17.5 this run) | 40 | 38 | DeepSeek Harness (dsh) +2 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 71 | 70 | DeepSeek Harness (dsh) +1 |
| Transparency & trust | 7% (8.8 this run) | 53 | 54 | Emdash +1 |
| Negative events | ≤15 | -8 | 0 | |
| **Total** | | **48.5 · D** | **53.9 · D** | |

## Facts side by side

| Fact | DeepSeek Harness (dsh) | Emdash |
| --- | --- | --- |
| Kind | Agent harness | Agent harness |
| Vendor | DeepSeek | General Action, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | API key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | Apache-2.0 |
| 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

### DeepSeek Harness (dsh)

- -1.0 on 4 November 2026: security, checklist
- +0.3 on 27 October 2026: checklist

### Emdash

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.

**Emdash.** A mature open-source app for parallel coding agents in Git worktrees, with issue intake from a dozen trackers and remote machines over SSH. Telemetry is on unless you turn it off, and no test workflow was found in the repository.

## 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` and `next` differ, the README warns of breaking changes, and 0.2.2 pre-releases let `web_fetch` reach private hosts

### Emdash

1. Launch with TELEMETRY_ENABLED=false if you don't want telemetry
2. Use the SSH mode to keep agents on a remote machine

## Questions

### Which is better for AI agents, DeepSeek Harness (dsh) or Emdash?

Emdash scores 53.9 (D) on agent readiness against DeepSeek Harness (dsh)'s 48.5 (D), and leads in 2 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation and agent ergonomics.

### Are DeepSeek Harness (dsh) and Emdash open source?

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


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/deepseek-harness-vs-emdash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepseek-harness-vs-emdash.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deepseek-harness", "b": "emdash"}`. From a terminal: `anchor compare deepseek-harness emdash`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepseek-harness.json and https://www.anchorterminal.com/api/v1/tools/emdash.json

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