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DeepSeek Harness

Composable agent harness where everything is a plugin

Open Source
Artificial Intelligence
Development
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Hunted byZac ZuoZac Zuo

DeepSeek Harness is an open-source agent runtime where models, tools, prompts, storage, the agent loop, and even the UI are plugins. You compose profiles and agent presets, run programmatic tool calling, and keep a full event log for recovery and replay.

Top comment

Hi everyone!

It’s easy to look at this and think it’s just "@DeepSeek’s version of Codex." But DSH is actually a recomposable agent runtime rather than a fixed product.

The core idea is everything is a plugin. The model, tools, approval policies, context handling, and even the web UI itself are swappable components you can compose or replace. During the closed beta, devs built fully custom interfaces and long-term memory systems entirely through plugins, without forking the core code.

Agent Presets let you assemble very different agents from the same runtime. There’s also PTC, where the model can write a TypeScript program that combines multiple tool calls into one execution, keeping intermediate data out of the model context and cutting down a lot of back-and-forth.

It defaults to DeepSeek V4 Flash, but you can plug other models into it too.

DSH exposes the layer between the model and the finished agent, and makes almost all of it configurable.

Comment highlights

Hi Zac. You mentioned beta devs building custom interfaces and memory systems through plugins. Which of those did you not expect people to build?

@zaczuo the line that got me was PTC — letting the model write a TypeScript program that fans out several tool calls in one execution, so intermediate data never touches the context window.

I spend a lot of time on agent reliability, and most of my context bloat isn't reasoning, it's tool payloads I never needed the model to read. Solving that at the runtime layer instead of with yet another summarizer is the right place to solve it.

The full event log for recovery and replay is the other half people will underrate until their first bad prod run 👌

About DeepSeek Harness on Product Hunt

Composable agent harness where everything is a plugin

DeepSeek Harness launched on Product Hunt on August 14th, 2026 and earned 161 upvotes and 3 comments, placing #6 on the daily leaderboard. DeepSeek Harness is an open-source agent runtime where models, tools, prompts, storage, the agent loop, and even the UI are plugins. You compose profiles and agent presets, run programmatic tool calling, and keep a full event log for recovery and replay.

DeepSeek Harness was featured in Open Source (68.7k followers), Artificial Intelligence (476.7k followers) and Development (6.1k followers) on Product Hunt. Together, these topics include over 134.1k products, making this a competitive space to launch in.

Who hunted DeepSeek Harness?

DeepSeek Harness was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

DeepSeek Harness has received 49 reviews on Product Hunt with an average rating of 4.88/5. Read all reviews on Product Hunt.

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