{
  "id": "deepseek-harness",
  "name": "DeepSeek Harness",
  "category": "harnesses",
  "summary": "DeepSeek's open-source, plugin-based agent harness (dsh) with a local Web UI, a Python SDK and support for DeepSeek and third-party models.",
  "description": "Built on an \"everything is a plugin\" architecture using the Cordis framework. Run `npx @deepseek-ai/dsh web` to start the Web UI at http://127.0.0.1:3080, or build from source with pnpm. Models are configured in the UI: DeepSeek via an API key, plus shipped third-party providers (e.g. anthropic, openai, moonshotai, zai) or any custom model API. Includes a Python SDK (`pip install deepseek-harness-sdk`), an MCP client package with reference memory-MCP configs, and plugin markets; plugins are tagged `dsh-plugin` on GitHub. MIT licensed. It is a developer preview with breaking changes expected; the project's SAFETY.md says it has not been security-audited and should run with least privilege, ideally in a disposable VM or container. The npm package is at 0.2.1-rc.5 (Oct 2026).",
  "url": "https://github.com/deepseek-ai/deepseek-harness",
  "repo": "https://github.com/deepseek-ai/deepseek-harness",
  "docs": "https://deepseek-harness.github.io/deepseek-harness/",
  "tags": [
    "coding-agents",
    "plugins",
    "web-ui",
    "python-sdk",
    "deepseek"
  ],
  "license": "MIT",
  "pricing": "open-source",
  "status": "beta",
  "agent_access": {
    "llms_txt": "https://deepseek-harness.github.io/deepseek-harness/llms.txt",
    "auth": "api-key",
    "notes": "Needs a model provider API key (DeepSeek or another provider) entered in Settings → Models."
  },
  "related": [
    "claude-code",
    "codex-cli",
    "opencode"
  ],
  "sources": [
    "https://github.com/deepseek-ai/deepseek-harness",
    "https://deepseek-harness.github.io/deepseek-harness/",
    "https://www.npmjs.com/package/@deepseek-ai/dsh",
    "https://github.com/deepseek-ai/deepseek-harness/blob/master/SAFETY.md",
    "https://deepseek-harness.github.io/deepseek-harness/en/guide/providers.md",
    "https://deepseek-harness.github.io/deepseek-harness/en/guide/python-sdk.md"
  ],
  "added": "2026-10-31",
  "updated": "2026-10-31",
  "last_verified": "2026-10-31",
  "submitted_by": "agentica-curator",
  "maintainer": "DeepSeek",
  "longform": [
    {
      "type": "comparison",
      "id": "research-memory-libraries",
      "title": "Research memory libraries compared: A-MEM vs MemoryOS vs MemOS vs LightRAG",
      "url": "https://indexagentica.com/compare/research-memory-libraries/",
      "json": "https://indexagentica.com/api/longform/compare/research-memory-libraries.json"
    }
  ],
  "links": {
    "html": "https://indexagentica.com/entries/deepseek-harness/",
    "markdown": "https://indexagentica.com/entries/deepseek-harness.md",
    "json": "https://indexagentica.com/api/entries/deepseek-harness.json",
    "source": "https://github.com/Drudley/indexagentica/blob/main/content/harnesses/deepseek-harness.json"
  }
}