Guide · Open source
How to use dsh-superagent-prototype: setup, checks and limits
Updated · written with AI from the project's own documentation and checked against our catalogue data
dsh-superagent-prototype is an open-source research prototype of a proactive coding agent that works on one GitHub repository, packaged as a bundle for DeepSeek Harness. It listens to GitHub and optionally Feishu, opens work items when an allowed person asks, and replies in the original conversation, for example with a pull request. This guide explains what it does, how to get the code and run its checks, and where it falls short, so you can decide whether it fits your team.
Quick start
- 1Clone the repository. Run git clone on the deepseek-ai/dsh-superagent-prototype GitHub repository to get the code locally.
- 2Read the setup guide. Open SETUP.md in the repository, or ask a coding agent to read it and set up dsh-superagent with you step by step.
- 3Review the philosophy and authorization docs. Read docs/000-philosophy.md and docs/002-authorization.md to understand when the agent may act.
- 4Configure deployment. Follow docs/006-deployment.md for manual setup, configuration and troubleshooting if you are not using the agent-guided route.
- 5Run the checks. Run pnpm check to execute the typecheck, tests and build.
- 6Review before adapting. Review and adapt the code for your own environment, since the README says it may contain bugs.
What dsh-superagent does
The agent is built for one GitHub repository. When someone allowed asks it for work, it opens a work item, works on it in its own agent session and directory, and answers in the original conversation, for example with a pull request.
A web panel shows what needs a person's attention. The project's stated principle is to take as little human attention as possible while giving as much value as possible, so the agent acts only when asked or when a rule the team wrote allows it.
- Listens to GitHub and, optionally, Feishu
- Opens a work item for each request from an allowed person
- Works in its own agent session and directory
- Replies in the original conversation, for example with a pull request
- Shows items needing a person in a web panel
Get the code and install it
The README lists clone-and-build as the install method and does not list prerequisites. Clone the repository from GitHub with the command below.
Setup has many steps, so the README recommends letting a coding agent guide you. Ask your agent to read SETUP.md in the repository and set up dsh-superagent with you. The agent asks one short question at a time, shows the full plan once, then installs and configures everything. For a manual route, the README points to docs/006-deployment.md, which covers manual setup, configuration, upgrades and troubleshooting.
- Clone the repository
- Read SETUP.md, or ask a coding agent to follow it with you
- For manual setup, read docs/006-deployment.md
git clone https://github.com/deepseek-ai/dsh-superagent-prototypeRun the project checks
Once the code is in place, the README's development command runs the typecheck, the tests and the build in one step. Use it to confirm the project works in your environment before you adapt it.
The README asks you to review and adapt the code before using it in your own environment, because it may contain bugs and its practices may be inconsistent.
pnpm checkRead the documentation in order
The numbered documents build on each other, so read them in sequence. Start with the philosophy and domain model, then authorization and execution, before moving to deployment and architecture.
The list covers: 000 Philosophy, 001 Domain model, 002 Authorization, 003 Execution, 004 Prompts, 005 Panel, 006 Deployment, 007 Architecture and 008 Cookbook, which covers adding a Source.
- 000 Philosophy: the principle and what it asks of the operator
- 001 Domain model and 002 Authorization: how work items and permissions fit together
- 003 Execution and 004 Prompts: how the agent works and what it is told
- 005 Panel: the web review panel
- 006 Deployment: manual setup, configuration, upgrades and troubleshooting
- 007 Architecture and 008 Cookbook: system design and adding a Source
Know the limits before you adopt it
The README describes this as a research prototype, not an official DeepSeek product, and not production-ready. Some designs in the accompanying article are future directions and are not implemented in this prototype, and the code may not match the internal version the team uses.
It is a good fit for studying how work items, authorization and a review panel can work together. It is a poor fit if you need a quick install or dependable production software.
- Not an official DeepSeek product; research prototype
- Some article designs are not implemented
- Setup has many steps; not a quick install
- The code may differ from the internal version
What people use it for
- Engineering teams exploring how an autonomous coding agent can handle requests on a single GitHub repository
- Developers studying how agent work items, authorization and a review panel fit together
- Researchers reading the design article alongside working code
- Operators who want an agent to act only when a team rule or a person allows it
Frequently asked questions
Is dsh-superagent-prototype free to use?
The project is released under the MIT licence, as stated in the repository's LICENSE file. Check the LICENSE file for the full terms before you use or redistribute it.
What are the requirements to install dsh-superagent-prototype?
The README does not list prerequisites. It describes a clone-and-build install and recommends letting a coding agent guide the setup, since it has many steps.
How do I install dsh-superagent-prototype?
Clone the GitHub repository with git clone, then follow SETUP.md or ask a coding agent to set it up with you. For manual setup, use docs/006-deployment.md.
Is dsh-superagent production-ready?
No. The README calls it a research prototype that may still contain bugs and inconsistent practices, and says to review and adapt it before using it in your own environment.
What tools are similar to dsh-superagent-prototype?
Projects often compared with it include OpenHands, Aider, SWE-agent and Continue. This source does not compare them in detail, so test each against your own needs.
Can it work on more than one repository?
The README describes it as a proactive coding agent for one GitHub repository, so it is not presented as a multi-repository tool.
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Our verdict
Use dsh-superagent-prototype if you are an engineering team, developer or researcher who wants to study an autonomous coding agent with clear authorization and a review panel, and you can tolerate a multi-step setup. Pick a more mature tool such as OpenHands, Aider, SWE-agent or Continue if you need production-ready software or a quick install.
Install options & downloads