awesome-dsh-plugin/awesome-dsh-plugin
- Source
- GitHub
- First trending
- Category
- Agents
- GitHub stars
- 15,987
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.
What it does
A curated list of plugins for DeepSeek Harness, also called dsh.
How it helps ATF
Could be a loose reference for what kinds of plugins are listed for DeepSeek Harness, when thinking about how Harness could be extended.
License
CC0-1.0 Custom or non-standard license. Read the license file before any reuse.
More in this category
- deepseek-ai/deepseek-harness
DeepSeek Harness (dsh) is an open-source agent harness from DeepSeek AI built on an everything-is-a-plugin architecture using Cordis. It runs a local web UI and is in developer preview with breaking changes expected. - anywhere-labs/dsh-desktop
A community-built Windows and macOS desktop client for DeepSeek Harness, not affiliated with DeepSeek. It runs a pinned upstream version unchanged and adds a window, tray, terminal, updates and settings, combined through the plugin system. - walkinglabs/learn-harness-engineering
A project-based course on harness engineering, covering the environment, state management, verification and control that make AI coding agents work reliably. It also breaks down the harness designs of Pi, Claude Code, Codex and DeepSeek. - holaboss-ai/holaOS
holaOS is a local-first agentic workspace where apps open beside an agent that can drive them. It connects existing systems, chat tools, a browser and local files with shared memory, and works with agents such as Claude Code or Codex. - chaitanyagiri/munder-difflin
A local desktop multi-agent harness that wraps terminal coding CLIs such as Claude Code, Codex and Gemini CLI. Each agent gets long-term memory and a mailbox, and a coordinating agent routes work between them on a 2D office view.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.