Composable agent harness where everything is a plugin
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.
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.
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.
On the analytics side, DeepSeek Harness competes within Open Source, Artificial Intelligence and Development — topics that collectively have 551.6k followers on Product Hunt. The dashboard above tracks how DeepSeek Harness performed against the three products that launched closest to it on the same day.
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.
Zac Zuo
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.