[KongchangAI]
Product

DeepSeek Harness

Core Facts

Timeline (last 90 days)

Nov 4

When reading the DeepSeek Harness source code, it is recommended to first get both the installed version and the source version running and distinguish them by port and debug logs, then start from the plugin registry and event bus, treat the main loop as a scheduler, and finally write a minimal plugin to connect MCP.

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Nov 4

In DeepSeek Harness, a plugin needs to declare which events it listens to and which capabilities it exposes; connecting an external MCP service essentially means writing a plugin that listens to specific events and forwards requests.

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Nov 4

The interactive experience of DeepSeek Harness is very close to the DeepSeek web version, but as a locally runnable shell, developers can swap models and connect custom MCP services without modifying the main loop.

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Nov 4

The directory structure of DeepSeek Harness separates the client from the core logic, with the plugin entry located at places such as apps/client/src/bin, which is not hard to find.

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Nov 4

For ordinary users, the greatest use of DeepSeek Harness is the ability to build software that does not exist on the market.

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Nov 4

For developers, Harness means moving from 'hard-coded' applications to an 'assemblable' ecosystem of functional modules, lowering the threshold for customized development.

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Nov 4

Harness's components remain relatively independent: plugins can be attached and uninstalled, maintaining both independence and composability.

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Nov 4

Harness adopts a plugin architecture: not only do features exist as plugins, but plugin attribute parameters are also exposed as adjustable items, forming a dual-layer configurability of 'components + properties'.

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Nov 4

Subsequent installments of this tutorial series will cover installation, enabling, API configuration, preset modes, permissions, and detailed command explanations.

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Nov 4

DeepSeek open-sourced a new architecture called Super Agent, which includes two roles: Router (dispatcher) and Worker (executor).

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40 more timeline events

All Facts (20)

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DeepSeek Harness is open-sourced under the MIT license, with all source code publicly available and completely free.

90%
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The DeepSeek Flash version is a distilled model optimized for low-latency scenarios, trading some complex reasoning capability for faster response speeds and lower token unit prices.

90%
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DeepSeek Harness supports hot-plug capability, allowing plugins to be installed without restarting, unlike VS Code.

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DeepSeek Harness offers multiple working modes, forming a spectrum between autonomy and controllability.

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The core design of DeepSeek-Harness is the Codis kernel, through which models, tools, skills, sessions, sandboxes, storage, and everything else are loaded, unloaded, and have their dependencies managed as plugins.

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DeepSeek Harness's Web UI supports switching between multiple modes including code mode, minimal mode, and creator mode.

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DeepSeek officially positions Harness as a Developer Preview.

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DeepSeek Harness only requires installing Node.js and entering a single command to run in a browser, achieving out-of-the-box usability.

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The core design philosophy of Harness is 'everything is a plugin,' with all components—including models, tools, cache, sandbox, and UI—fully pluggable and replaceable.

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DeepSeek Harness adopts a plugin-based architecture in which the model, tools, session sandbox, and the Agent main loop itself can all be swapped out and recombined.

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The core design philosophy of DeepSeek Harness is to treat everything as a plugin, including tools, skills, and drawing functionality.

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PTC mode (Programmatic Tool Composition) has the model generate a TypeScript program that combines multiple tool calls and executes them all at once in a sandbox environment.

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DeepSeek Harness provides end-to-end traceability, recording the complete trajectory of every step of system operation.

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DeepSeek Harness is currently in a developer preview stage; the official team has explicitly stated that breaking changes will occur, making it not yet suitable for direct deployment to stable production environments.

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Configuring DeepSeek Harness requires pasting the API Key into the Edit DeepSeek input field in the model options on the settings page and saving.

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DeepSeek Harness采用TypeScript编写

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DeepSeek Harness is written in TypeScript, and installation requires a Node.js environment (tested with Node.js 24).

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DeepSeek is developed by DeepSeek (深度求索) company.

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Event-driven architecture is a system design paradigm centered on events, in which components communicate by publishing and subscribing to events, achieving decoupling.

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Deep Agents itself is a harness, that is, an agent loop.

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