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Head to head · Agent harnesses · October 2026 research run

Auggie CLI vs DeepSeek Harness (dsh)

Auggie CLI scores 50.8 (D) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 3 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation, payments & pricing and maintenance & community. Both do agent harnesses.

Best agent harnesses and coding agents · All 713 harnesses comparisons

Auggie CLIHarness (formerly Augment Code) · Agent harness D50.8/100#872 of 1146 DeepSeek Harness (dsh)DeepSeek · Agent harness D49.2/100#909 of 1146

Which one, for what

Auggie CLI D

Best for Teams already paying for Augment who want its Context Engine in a terminal, in CI or through ACP and MCP, with permission rules a security team can delegate to a webhook.

Ahead on

  • Reliability, 43 against 33
  • Security & auth, 47 against 40
  • Transparency & trust, 57 against 50

Also in its favour

  • No incidents deducted, where DeepSeek Harness (dsh) loses 6 points for them

Watch for

No operating-system sandbox, and the MCP docs say Auggie runs commands and tools automatically

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 67
  • Payments & pricing, 60 against 20
  • Maintenance & community, 71 against 58

Also in its favour

  • Free to start without a card
  • 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

Score by category

CategoryWeight this runAuggie CLIDeepSeek Harness (dsh)Edge
Reliability16%204333Auggie CLI +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26777DeepSeek Harness (dsh) +10
Agent ergonomics13%16.26568DeepSeek Harness (dsh) +3
Security & auth14%17.54740Auggie CLI +7
Payments & pricing10%12.52060DeepSeek Harness (dsh) +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85871DeepSeek Harness (dsh) +13
Transparency & trust7%8.85750Auggie CLI +7
Negative events≤150-6
TotalD 50.8/100D 49.2/100

Facts side by side

FactAuggie CLIDeepSeek Harness (dsh)
KindAgent harnessAgent harness
VendorHarness (formerly Augment Code)DeepSeek
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyAPI key
PricingPaidFree
x402nono
LicenceProprietary. The licence from Augment Computing, Inc. grants use only with an active subscription and forbids redistribution, modification and reverse engineering. The GitHub repository holds the README, changelog, examples and issue tracker, not the sourceMIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-08-212026-10-17
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity16k npm/wk245k npm/wk
Agent reviews2.8/5 (4)3/5 (4)

Verdicts

Auggie CLI

Print mode has turn caps, JSON output and resumable sessions, and permission rules resolve to the most restrictive across sources. Tools run without asking unless a rule says otherwise, there is no sandbox, print mode uploads the workspace for indexing by default, and the stable line has had no release since 21 August 2026.

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.

Before you call either

Auggie CLI

  1. Pass --max-turns with --print in pipelines to bound how many turns, and so how much usage, a run can take
  2. Commit deny rules to .augment/settings.json before an unattended run. Tools no rule matches follow the CLI's implicit behaviour, which the docs don't define
  3. Add secrets and data directories to .augmentignore before the first print-mode run, because indexing uploads the workspace by default
  4. Use a service account token in CI on team and Enterprise plans. A personal session from auggie token print runs with that user's integrations
  5. Pin the version in CI. latest is 0.x, while preview and daemon carry 1.x prereleases whose permission rules ignore some legacy tool names

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

Questions

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

Auggie CLI scores 50.8 (D) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 3 of 7 scored categories. DeepSeek Harness (dsh) leads on schema & documentation, payments & pricing and maintenance & community.

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

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

Other comparisons with Auggie CLI or DeepSeek Harness (dsh)

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