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title: DeepSeek Harness Just Changed AI Forever | daily.dev
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# DeepSeek Harness Just Changed AI Forever

**[YouTube](https://daily.dev/sources/youtube)** · 5 min read · 1 upvotes · 1 comments

## Summary

DeepSeek released an open source, MIT-licensed agent harness that quickly hit 150,000 GitHub stars, built on top of the existing Cordis plugin framework. Every capability in the harness (models, tools, skills, agents) is implemented as a swappable plugin, letting users bring their own model backends like Claude Sonnet 4.5, OpenAI, or Bedrock instead of DeepSeek's own models. Standout features include built-in append-only traceability logging every prompt, reasoning step, and tool call, plus a creator mode that lets users author new plugins purely through prompting, demoed by adding a playable dinosaur game to the desktop app. Alongside the harness, DeepSeek also shipped V4 Pro, a model priced well below Opus while reportedly matching GLM 5.2 on intelligence. Within days, the community built unofficial extras including a desktop app (11,000 stars), a TUI, web UI skins, and an awesome-list, none built by DeepSeek itself.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=DTu4yvmc0Fc>

## Questions this post answers

### What is the DeepSeek harness built on and how does its plugin system work?

The DeepSeek harness is built on top of the Cordis kernel, a plugin framework that has existed on GitHub since 2022, described as a meta-framework for spatio-temporal compatibility. Every capability inside the harness - models, tools, skills, agents, sessions, and the API gateway - is implemented as a Cordis plugin, so any piece can be swapped, extended, or disabled entirely through configuration without touching the harness source code.

_Developers weighing agent harness options can follow architecture breakdowns like this on daily.dev._

### Can I use models other than DeepSeek's own models inside the DeepSeek harness?

Yes, because the model itself is just a plugin in the DeepSeek harness, so it is not tied to DeepSeek's models. The documentation walks through adding Anthropic, OpenAI, Bedrock, or any OpenAI-compatible endpoint, and the official config example even includes Claude Sonnet 4.5 configured directly.

_Teams comparing agent harnesses across model providers can track these details on daily.dev._

### What does the traceability feature in the DeepSeek harness actually log?

Traceability in the DeepSeek harness is an append-only log recording everything the model sees, including system prompts, reasoning steps, and tool calls, viewable as a full trajectory of the conversation. In the desktop app, clicking into a step shows token counts, such as one exchange using 187 tokens with 94 spent on reasoning, plus the model's full thinking output.

_Engineers debugging agent behavior can keep an eye on tooling like this via daily.dev._

## Similar posts on daily.dev

- [DeepSeek API Docs](https://daily.dev/posts/deepseek-api-docs-mqussratb) · Hacker News · 0 upvotes · 0 comments

---

Tags: [#open-source](https://daily.dev/tags/open-source), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#deepseek](https://daily.dev/tags/deepseek)

[View this post on daily.dev](https://daily.dev/posts/deepseek-harness-just-changed-ai-forever-lclp0knx6)

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