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Awesome Deepseek Harness

DeepSeek Harness (DSH) ecosystem: curated plugins, tools, and infrastructure from dsh-external/hub and the public dsh-plugin topic.
529 stars191 forksPythonUpdated 8/16/2026100% free · open source
What it does

The DeepSeek Harness ecosystem provides a curated set of plugins, tools, and infrastructure for building and managing AI agents

Install / run
git clone https://github.com/0xsline/awesome-deepseek-harness
When to use it
  • When you need to integrate multiple AI plugins and tools into a single workflow
  • When you want to leverage the collective knowledge of the dsh-external/hub and dsh-plugin communities
  • When you need to build a custom AI agent with specific functionality
Quick start
  1. 1Explore the dsh-external/hub repository for available plugins and tools
  2. 2Review the public dsh-plugin topic for community-driven plugins and tools
  3. 3Create a new Python environment and navigate to the cloned repository
  4. 4Run `python -m pip install -r requirements.txt` to install dependencies
  5. 5Start building your custom AI agent by combining plugins and tools from the ecosystem
Ready-to-paste prompt
python -m dsh CLI --plugin dsh-plugin-example --config config.json
Heads up: Ensure you have the correct Python version installed, as the DeepSeek Harness ecosystem may have specific version requirements
Saves to your device

Topics

agent
ai
ai-agents
ai-tools
awesome
awesome-list
coding-assistant
curated-list
deepseek
deepseek-harness
developer-tools
dsh
dsh-plugin
dsh-plugins
harness
llm
mcp
plugins
How Awesome Deepseek Harness works
Codeflow
Free to inspect

Awesome Deepseek Harness is a medium Python project (~5.3k lines across 1 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, CC0-1.0 license, no tests found.

Size
Medium codebase
~5.3k lines · 1 code files · 44 min skim
Setup
Some technical setup
Comfortable with a terminal? 20–40 min. Otherwise ask a dev.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
scripts/Helper scripts1 files
.github/CI / automation (GitHub Actions)2 files
assets/Images & static assets1 files
READMENo tests foundDocumentedCI checksCC0-1.0 licenseUpdated this month
Quick Actions
Details
Creator
0xsline
Language
Python
Category
mcp-server
Published
8/11/2026

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