Head to head · Agent harnesses · October 2026 research run

dsh-superagent (DeepSeek) vs Traycer

Traycer scores 57 (C) on agent readiness against dsh-superagent (DeepSeek)'s 42.1 (E), and leads in 5 of 7 scored categories. dsh-superagent (DeepSeek) leads on payments & pricing. Both do agent harnesses.

Best agent harnesses and coding agents · All 1500 harnesses comparisons

Which one, for what

dsh-superagent (DeepSeek) E

Best for Teams on github.com that want a DeepSeek Harness agent to turn allowed people's issue requests into pull requests, run on an isolated machine or OS account.

Ahead on

  • Payments & pricing, 40 against 30

Also in its favour

  • Free to start without a card

Watch for

Executor and main Sessions run with danger-full-access as the operator's OS user, and the docs say a worker can read the operator's home directory

Traycer C

Best for Teams who want several coding agents working together with shared context and boards.

Ahead on

  • Reliability, 65 against 15
  • Security & auth, 42 against 33
  • Maintenance & community, 75 against 34
  • Transparency & trust, 60 against 52

Also in its favour

  • No key needed to call it

Watch for

Privacy Mode is opt-in for individuals; with it off, prompts may be logged

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 Traycer +50

dsh-superagent (DeepSeek) 15

Local-package reading, since it runs as a DSH bundle on the operator's machine. Not published to npm (private: true in package.json, and the registry has no dsh-superagent). It installs from a git clone with pnpm install && pnpm build on top of @deepseek-ai/dsh@0.2.1-rc.3, with Node 22.19+ or 24+, git 2.32+, Python 3.8+, tmux and gh 2.48+ stated, so half credit (10). A vitest suite of about 25 spec files is listed in docs/007, and pnpm check runs the typecheck, tests and build. Two spec files were read on raw.githubusercontent.com. No CI workflow was found at five common paths under .github/workflows, and the directory couldn't be listed (5). Open issues couldn't be read, because github.com and api.github.com weren't reachable from our network. Unchecked, so scored absent (0). Version 0.1.0 with no tag, release or changelog found, so no semver record (0). A research prototype, not stable (0).

Traycer 65

Local software. Builds for macOS, Linux and Windows, and package-manager publishing workflows (20). test.yml, CodeQL, OpenSSF Scorecard and secret scanning run on the repository; 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). CHANGELOG.md (15). Host 1.5.3 (15). 20 + 15 + 0 + 15 + 15 = 65.

Maintenance & community Traycer +41

dsh-superagent (DeepSeek) 34

Published on 31 October 2026, within 30 days, read as the last published change since no tag or release was found (30). One publication, so not three releases in 90 days (0). Issues, pull requests and Discussions couldn't be read, and the README frames the code as a reference prototype adapted from an internal version (0). No official SDK or registry entry (0). Exact dependency pins and a lockfile, but no CI workflow found, and the docs pin DSH 0.2.1-rc.3 (23 October 2026) while npm latest is 0.2.1-rc.5 (29 October 2026) (4).

Traycer 75

Commits on 6 November 2026 and host 1.5.3 (30). More than three releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Current apps and CLI packages (15). CI with tests (10). 30 + 20 + 0 + 15 + 10 = 75.

Payments & pricing dsh-superagent (DeepSeek) +10

dsh-superagent (DeepSeek) 40

Self-hosted rule, as for the other open-source harnesses. No payment protocol (0). Free under MIT with nothing to buy (20). No card for the software (20). An agent can't get started alone, because the setup needs a person to create a dedicated GitHub user account, accept the repository invitation and run auth login for the wrappers, which SETUP.md lists as operator steps. 0, as the other harnesses that need an account were read (0). The model provider is a separate purchase.

Traycer 30

Scored on the paid option, Traycer's own inference subscription, whose price wasn't read (0 of 20). No protocol (0). Bring-your-own-agent use is free (20). Accounts for sync and teams weren't checked, half (10). 0 + 0 + 20 + 10 = 30.

Security & auth Traycer +9

dsh-superagent (DeepSeek) 33

Harness reading of the framework checklist, 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. The superagent profile is created from DSH's Web template, and DSH documents that shipped profiles mount session-log-deepseek, enabled by default, which adds the session log to each official DeepSeek API request, up to 8 MiB. dsh-superagent's docs don't mention it, and its Sessions read issue, pull request and chat text and the repository. Setup and worker shells drop variables named KEY, PASSWORD, SECRET or TOKEN, and GH_TOKEN and GITHUB_TOKEN are removed from git (8). Both presets run danger-full-access without approval as the operator's OS user. docs/006 says the account wrappers don't isolate the process, a worker can run programs by path and read the operator's home directory, and recommends a dedicated OS account. The gate, observe default, blocked commands and no auto-merge as the agent account narrow what it does, not what it can do (6). docs/002 says messages, comments and quoted documents are inputs to a decision and can't change allowed lists, rules or Mandates, bots can never make explicit requests, and prompt edits don't change the gate. Workers with full access still read untrusted Thread text, and no further guidance on that was found (7). Decisions are recorded with reasons, Ticket details show the Trigger, Decision, scope and Policy version, the host records the prompt revisions each Session used, and every GitHub message starts with an automated-agent line by default (12). No SECURITY.md (404 at the root and in .github), no security.txt on www.deepseek.com (404), no bug bounty or advisory found. NVD has no record for the prototype. The CVEs against DSH itself are on the deepseek-harness listing (0).

Traycer 42

Harness reading. Code is processed in memory and not used for training, but Privacy Mode is opt-in for individuals, prompts may be logged with it off, and Sentry and PostHog 'may be enabled in release builds' (10 of 30). No approval model described in the README (8 of 20). No prompt-injection guidance (5). No audit log found (5). SECURITY.md, CodeQL, Scorecard and secret scanning (14 of 20). 10 + 8 + 5 + 5 + 14 = 42.

Transparency & trust Traycer +8

dsh-superagent (DeepSeek) 52

MIT, Copyright (c) 2026 DeepSeek Harness Team (30). The prototype has no data statement of its own. DeepSeek Harness's privacy policy (last updated 20 September 2026) names Hangzhou DeepSeek Artificial Intelligence Co., Ltd., says session logs are collected with official model services and may be used to train models with a right to opt out, and says custom model services aren't stored server-side. It agrees with DSH's session-log README, but neither is referred to from the prototype (12). No deprecation policy. The README says the published code differs from DeepSeek's internal version, and docs/006 warns that database migrations are one-way (3). Telemetry and the session-log upload are disclosed with opt-outs in DSH's own reference pages, not in this repository (6).

Traycer 60

MIT (30). README privacy section and a linked privacy policy (not read) (18 of 30). CHANGELOG.md, no deprecation policy (10). Analytics described as 'may be enabled', with no opt-out given in the README (8 of 20). 30 + 18 + 10 + 8 = 66.

Score by category

CategoryWeight this rundsh-superagent (DeepSeek)TraycerEdge
Reliability16%201565Traycer +50
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26165Traycer +4
Agent ergonomics13%16.26765dsh-superagent (DeepSeek) +2
Security & auth14%17.53342Traycer +9
Payments & pricing10%12.54030dsh-superagent (DeepSeek) +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.83475Traycer +41
Transparency & trust7%8.85260Traycer +8
Negative events≤1500
TotalE 42.1/100C 57/100

Facts side by side

Factdsh-superagent (DeepSeek)Traycer
KindAgent harnessAgent harness
VendorDeepSeekTraycer AI
Hosted endpointno (local only)no (local only)
Transports
AuthTokenNone
PricingFreeFree
x402nono
LicenceMITMIT
Read-only variant documentednono
llms.txtnono
Last release2026-10-312026-11-06
Terms last updatedno document linkedno document linked
Privacy policy last updated2026-09-20no document linked

Verdicts

dsh-superagent (DeepSeek)

The authorization design is careful, with allowed lists, Mandates and a Policy enforced in code, proactive work only recorded by default and auto-merge off. Executors run every command without approval under the operator's OS user, and the README calls it a research prototype with no release, changelog or security policy.

Traycer

An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds.

Before you call either

dsh-superagent (DeepSeek)

  1. Run it under a dedicated OS account holding only the agent's credentials. Executors run commands without approval and can read the operator's home directory
  2. Set enabled: false on the session-log-deepseek row of the superagent profile before using DeepSeek's official API on private code
  3. Keep the accept mode at observe and the allowed list short until the recorded Decisions look right
  4. Wait for scripts/dsh-superagent status to stop exiting 1 after any save that answers restarting: true before the next request
  5. Send x-orchestrator-request: 1 and a loopback Host to the Management API, and send revision with each PUT, since a stale one gets 409

Traycer

  1. Turn on Privacy Mode if you're an individual user and don't want prompts logged
  2. CLI agents you configure send requests straight to their provider; Traycer's own inference goes through Traycer

Questions

Which is better for AI agents, dsh-superagent (DeepSeek) or Traycer?

Traycer scores 57 (C) on agent readiness against dsh-superagent (DeepSeek)'s 42.1 (E), and leads in 5 of 7 scored categories. dsh-superagent (DeepSeek) leads on payments & pricing.

Are dsh-superagent (DeepSeek) and Traycer open source?

Yes. dsh-superagent (DeepSeek) is open source (MIT). Traycer is open source (MIT).

Other comparisons with dsh-superagent (DeepSeek) or Traycer

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.