# dsh-superagent (DeepSeek) vs OpenAI Agents API (slim)

> OpenAI Agents scores 73.3 (BB) to dsh-superagent's 42.1 (E) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api.md (~7,150 tokens) · this version ~3,380 tokens · JSON https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api.json · canonical https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-06
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

OpenAI Agents API scores 73.3 (BB) on agent readiness against dsh-superagent (DeepSeek)'s 42.1 (E), and leads in 6 of 7 scored categories. dsh-superagent (DeepSeek) leads on payments & pricing. Both do agent harnesses.

- dsh-superagent (DeepSeek): E 42.1, rank #1155 of 1354 · https://www.anchorterminal.com/tools/deepseek-superagent.min.md
- OpenAI Agents API: BB 73.3, rank #99 of 1354 · https://www.anchorterminal.com/tools/openai-agents-api.min.md
- dsh-superagent (DeepSeek), good 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 Free to start without a card; Open source.
- OpenAI Agents API, good for Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention. Ahead on Reliability, 60 against 15; Schema & documentation, 88 against 61; Agent ergonomics, 80 against 67; Security & auth, 87 against 33; Maintenance & community, 87 against 34; Transparency & trust, 85 against 52. Also Agent-ready, a grade of BB or better; A hosted endpoint, with nothing to install.

| Category | dsh-superagent (DeepSeek) | OpenAI Agents API |
| --- | --- | --- |
| Reliability (16%) | 15 | 60 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 61 | 88 |
| Agent ergonomics (13%) | 67 | 80 |
| Security & auth (14%) | 33 | 87 |
| Payments & pricing (10%) | 40 | 30 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 34 | 87 |
| Transparency & trust (7%) | 52 | 85 |

| Fact (where they differ) | dsh-superagent (DeepSeek) | OpenAI Agents API |
| --- | --- | --- |
| Kind | Agent harness | HTTP API |
| Vendor | DeepSeek | OpenAI |
| Hosted endpoint | no (local only) | `https://api.openai.com/v1/agents/sessions` |
| Transports |  | https |
| Auth | Token | API key |
| Pricing | Free | Pay per use |
| Licence | MIT | Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0 |
| llms.txt | no | yes |
| Last release | 2026-10-31 | 2026-10-16 |
| Terms last updated | no document linked | couldn't be read |
| Privacy policy last updated | 2026-09-20 | couldn't be read |
| Customer content may train models | not read yet | couldn't be read |
| Terms restrict automated access | not read yet | couldn't be read |
| Terms restrict benchmarking | not read yet | couldn't be read |
| Terms or service can change without notice | not read yet | couldn't be read |
| Arbitration or class-action waiver | not read yet | couldn't be read |

Why the edge:
- Security & auth, OpenAI Agents API +54: 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).); OpenAI Agents API 87 (Project keys with restricted per-endpoint permissions, service accounts and workload identity, per the openai-api listing; we didn't confirm a key can be limited to /v1/agents (27 of 30). Automatic review for approvals, a sandbox network restricted to a host allowlist, vaults for secrets and a sandbox security guide (17 of 20). The agent reads web pages, MCP results and browser content; the sandbox security guide and approval flow are the mitigations, with no prompt-injection guide of its own found (8 of 15). Tracing, observability and usage per session and admin audit logs (15). SOC 2 Type 2, ISO 27001 family, Bugcrowd bounty and a disclosure policy, per the openai-api listing (20). Not ZDR-eligible and US residency only, recorded under transparency. 27 + 17 + 8 + 15 + 20 = 87.)
- Maintenance & community, OpenAI Agents API +53: 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).); OpenAI Agents API 87 (Closed API. Last dated change 16 October 2026, Ultrafast mode and document skills (30). Four dated changelog entries in the 57 days since release, 10 September, 29 September, 9 October and 16 October (20). Changelog and help centre, as the openai-api listing reads them (12 of 15). Official SDKs carry beta.agents (15). SDK CI, per the openai-api listing (10). 30 + 20 + 12 + 15 + 10 = 87.)
- Reliability, OpenAI Agents API +45: 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).); OpenAI Agents API 60 (Read as a hosted API. status.openai.com has an Agents component under APIs (20). Since release on 10 September (57 days, not 90), the feed names the Agents API in a degraded-performance incident on 14 September, the elevated errors across ChatGPT, Codex and the API on 29 September (the openai-api listing reads that one as a major, 17:52 to 23:14 UTC), computer use issues and degraded workspace agents on 6 and 7 October, degraded performance across the APIs for 22 minutes on 21 October, and overbilling for hosted containers on 19 September. One major, the rest minor (10). Rate limits come from the shared guide, published per tier and model with headers, and the errors page adds a Files API allowance on session creation (15). 429 and 503 guidance with Retry-After, capped backoff and a check-then-retry procedure for turns (15). The Scale Tier SLA in the openai-api listing isn't shown to cover a beta API (0). Public beta behind the agents=v1 header (0). 20 + 10 + 15 + 15 + 0 + 0 = 60.)
- Transparency & trust, OpenAI Agents API +33: 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).); OpenAI Agents API 85 (Closed service with clear terms, Apache-2.0 SDKs (15). Session state retained until deleted, deletable sessions and artifacts, not ZDR-eligible, US residency only, and the data-controls guide agrees; no retention period for artifacts after a sandbox expires (25 of 30). Dated deprecation notices with minimum periods for GA models; a beta API can change faster (15 of 20). Subprocessors and processing countries listed, per the openai-api listing (20). 15 + 25 + 15 + 20 = 75.)
- Schema & documentation, OpenAI Agents API +27: dsh-superagent (DeepSeek) 61 (Framework reading, as for deepseek-harness. No OpenAPI or JSON Schema is published. docs/006 documents the Management API's routes, fields, block shapes and refusals in tables, and the code validates settings with zod (12). Markdown docs in the repository, readable raw, and a SETUP.md written for a coding agent. No llms.txt (5). Nine numbered documents read in order, each stating purpose, limits and what not to do, such as never rerunning the profile-creation command for an upgrade (17). Closed sets for accept mode (`off`, `observe`, `auto`), admission cells, Source states, health states and `listen` (12). A worked curl example, refusals as 400, 404, 409 and 500 with `issues`, `setup` or `code`, a troubleshooting table and status exit codes 0 to 3 (13). package.json says 0.1.0 and pins an `engines.dsh` range, but no changelog or tags were found (2).); OpenAI Agents API 88 (The reference is linked from the overview and the SDKs carry beta.agents types; we didn't confirm /agents/sessions in OpenAI's public OpenAPI file, so 15 of 25. llms.txt with every Agents API page and Markdown twins (10). The overview, architecture page and the agents guide that compares the Agents API, Agents SDK and Responses API say when to use it (20). Typed configuration with enumerated container sizes, network modes and environment types (13 of 15). Examples in six languages and an errors page with codes per HTTP status, turn and session (15). Dated changelog entries and a versioned beta header (15). 15 + 10 + 20 + 13 + 15 + 15 = 88.)
- Agent ergonomics, OpenAI Agents API +13: dsh-superagent (DeepSeek) 67 (Harness reading, scored on what a team or pipeline driving it has to supply. The worker preset is DSH's `standard` with web fetch, plan mode, questions, scheduling and workflows left out, the main Session can't write files, and tool results over 8,192 characters are pruned (18). A concurrency limit with one extra slot for a person's message, a 5-second foreground shell, a 10-minute prepare limit and 30 minutes for background work after a turn. No cost or turn limit per Ticket was found (12). Ticket stages, health entries per part, Reports of `blocked` or `failed`, API refusals with codes, and three retries with growing backoff on 408, 429, 5xx and dropped connections (17). Saves carry a revision and a stale one gets 409, state and Sessions survive a restart, and a restarted Assignment gets a recovery note to check git and GitHub before repeating any outside action (16). Sensible defaults (observe mode, port 3082, branch prefix `agent/`), but setup needs a dedicated GitHub user account, CLI wrappers, tmux and a profile, and there is no SDK. Work is requested by mentioning the agent account on GitHub or Feishu (4).); OpenAI Agents API 80 (Read as an API an agent drives. Context is compacted automatically, and session budgets and streamed events keep output sized (20 of 25). Sessions can be listed, continued and steered, events streamed or sent by webhook, artifacts fetched (15 of 20). Actionable error codes with recovery steps (20). No idempotency key; a documented check-then-retry procedure (10 of 20). One session call with defaults (medium sandbox, network enabled), SDKs in five languages (15). 20 + 15 + 20 + 10 + 15 = 80.)