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The DeepSeek Harness ecosystem by the numbers: 6,700+ plugins in days

dsh hit 145k stars in days — and the plugin topic is growing by ~175 repos/day. We indexed the whole ecosystem: top plugins, commit velocity, breaking changes. Data, not vibes.

Aug 18, 2026

Two days into its public release, DeepSeek Harness (dsh) is not just trending — it is compounding. Here is what the ecosystem actually looks like, by the numbers, from data AgentRunDB collected from the GitHub API.

The headline numbers

Metric Value
Main repo stars 145,800+ (github.com/deepseek-ai/deepseek-harness)
Forks 14,900+
Commits since launch 12,400+
Repositories tagged dsh-plugin 6,700+ and climbing hourly
Top-100 plugins we track 10
Latest commits we track 30

The plugin topic alone grew from 6,546 to 6,722 repositories between two of our crawls a few hours apart. That is roughly 175 new dsh plugins per day at the current pace.

What people are building

The top of the ecosystem by stars right now:

Plugin Stars License What it does
open-design 88,324 Apache-2.0 🎨 Best DeepSeek Harness Design Plugin. The open-source Clau
reactive-resume 40,839 MIT A one-of-a-kind resume builder that keeps your privacy in mi
DeepSeek-Reasonix 34,683 MIT DeepSeek-native AI coding agent for your terminal. Engineere
OpenViking 28,897 AGPL-3.0 Self-evolving Context Database for AI Agents. Unify Agent Me
colleague-skill 23,146 MIT 将冰冷的离别化为温暖的 Skill,欢迎加入数字生命1.0!Transforming cold farewells in
voyager 19,594 GPL-3.0 Enhancement suite for Gemini, AI Studio, Claude & ChatGPT —
archify 13,855 MIT Agent skill for beautiful, verifiable architecture, workflow
EverOS 12,082 Apache-2.0 One portable memory layer for every AI agent: local-first, M

A design tool, a resume builder, an agent OS, a memory layer, a plugin desktop — the "Everything is a Plugin" architecture is being taken literally, and fast.

Update velocity (and breaking changes)

We currently track the latest 30 commits to the main repository, spanning 5 days — about 6 commits per day, with 0 flagged as breaking changes in that window.

The README is blunt about it: dsh is in developer preview and "THERE WILL BE COMPATIBILITY-BREAKING CHANGES." If you build on dsh today, you need a tracker — that is exactly why we built one:

Why this matters

Fast-moving ecosystems create a specific kind of search demand: "dsh plugin X broken after update", "deepseek harness breaking change", "dsh vs claude code". That demand has nowhere to land yet — the ecosystem is days old and the official docs are still forming.

AgentRunDB exists to answer one question — does it actually run? — with evidence instead of vibes. The dsh tracker is our first always-on data pipeline: crawl, classify, publish, repeat.

Methodology

All numbers come from the public GitHub API, collected on 2026-08-18 by our hourly crawler, and are published machine-readably at llms.txt. Counters move fast — the tracker pages are always more current than this article.