DeepSeek Harness
Plugin-based platform for DeepSeek agent development.
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Homebrew analytics installs: 13 installs (2026) to 917 installs (2026)
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About DeepSeek Harness
DeepSeek Harness is a plugin-based platform for developing AI agents. Developers use it to automate tasks like organizing documents, analyzing spreadsheets, writing code, and scheduling recurring work. The tool operates as both a desktop application and a web interface, built on the Cordis plugin architecture where all functionality can be extended through composable plugins. Users can install existing plugins or create custom ones through dialogue to adapt the platform to their specific workflows.
DeepSeek Harness is developed by deepseek-ai and released under the MIT license. It is written in TypeScript and available as open source software. The platform includes developer tools for inspecting execution traces and debugging tool calls and task execution, along with support for automated tasks that can run on schedules in the background.
Checked 24 October 2026.
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- LayerFS for AI coding agents: what the agent filesystem adds over git worktrees, and what v1.0.0 ships
LayerFS 1.0, out 21 October 2026, gives each coding agent a writable workspace over shared history. Linux only; one official agent integration.
- DeepSeek Search and Fetch API vs Firecrawl, Exa and Tavily: the web access slot priced per 1,000
DeepSeek Search and Fetch costs $0.75 per 1,000 successful requests; Firecrawl, Exa, Tavily and Parallel charge $1 to $8. Data and blocking, October 2026.
- Run Claude Code with a different model provider: the variables per vendor, what CC Switch and magpie write, and what breaks
Point ANTHROPIC_BASE_URL at DeepSeek, Kimi, GLM or Ollama, set all four model tiers, test with curl and /status. Check the cache before the bill.