DeepSeek Harness
Core Facts
DeepSeek Harness is open-sourced under the MIT license, with all source code publicly available and completely free.
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.
DeepSeek Harness supports hot-plug capability, allowing plugins to be installed without restarting, unlike VS Code.
Timeline (last 90 days)
The DeepSeek Harness course covers four foundational projects and multiple enterprise-level projects (such as an intelligent customer service system, a multi-Agent e-commerce application, and model fine-tuning practice), totaling seven or eight.
The Harness plugin marketplace supports search, filtering and recommendation slots, and allows installation of plugins such as widgets and desktop pets.
Native DeepSeek cannot recognize local images; after installing a vision plugin it can determine information such as the number of people in an image and their clothing characteristics.
Installing plugins via the command line is fast and does not consume model tokens, but you need to confirm that the current directory is correct and the command is spelled correctly.
Harness plugins can be used for scenarios such as going to Bilibili to read content and convert it to text, managing a knowledge base, generating videos, building a QQ bot, and integrating with chat software.
For Harness-related tools, it is recommended to install Node.js version 20 or above; versions below that may prevent subsequent tools from running.
The Harness client supports adding local folders, enabling the AI to read and modify their contents or save files to that folder.
Sending a GitHub link through the chat window to let the AI install plugins itself consumes tokens and credits.
Harness is based on Codex's plugin architecture, and its expanded capability boundaries come from plugin integration.
The Super Agent article is still at the architecture exploration stage, and the specific implementation details and degree of openness remain to be observed later.
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All Facts (20)
DeepSeek Harness is open-sourced under the MIT license, with all source code publicly available and completely free.
90%VerifiedThe 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%VerifiedDeepSeek Harness supports hot-plug capability, allowing plugins to be installed without restarting, unlike VS Code.
85%VerifiedDeepSeek Harness offers multiple working modes, forming a spectrum between autonomy and controllability.
85%VerifiedThe 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.
85%VerifiedDeepSeek Harness's Web UI supports switching between multiple modes including code mode, minimal mode, and creator mode.
80%VerifiedDeepSeek officially positions Harness as a Developer Preview.
80%VerifiedDeepSeek Harness only requires installing Node.js and entering a single command to run in a browser, achieving out-of-the-box usability.
80%VerifiedThe core design philosophy of Harness is 'everything is a plugin,' with all components—including models, tools, cache, sandbox, and UI—fully pluggable and replaceable.
80%VerifiedDeepSeek 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.
80%VerifiedThe core design philosophy of DeepSeek Harness is to treat everything as a plugin, including tools, skills, and drawing functionality.
80%VerifiedPTC 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.
80%VerifiedDeepSeek Harness provides end-to-end traceability, recording the complete trajectory of every step of system operation.
80%VerifiedDeepSeek 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.
80%VerifiedConfiguring DeepSeek Harness requires pasting the API Key into the Edit DeepSeek input field in the model options on the settings page and saving.
80%VerifiedDeepSeek Harness采用TypeScript编写
80%VerifiedDeepSeek Harness is written in TypeScript, and installation requires a Node.js environment (tested with Node.js 24).
80%VerifiedDeepSeek is developed by DeepSeek (深度求索) company.
80%VerifiedDeep Agents itself is a harness, that is, an agent loop.
75%VerifiedAgent frameworks such as DeepSeek Harness are typically distributed as npm packages, with their dependencies automatically fetched via npm.
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