01
Autonomous coding
Authorized work is assigned to an agent session with its own directory. The agent attempts the requested changes using the configured model and execution environment.
OPEN SOURCE · RESEARCH PROTOTYPEDeepSeek
A LITTLE LESS BUSYWORK. A LITTLE MORE BUILDING.
DeepSeek
SuperAgent
Explore the Open-Source Autonomous AI Coding Agent
Discover how DeepSeek SuperAgent explores autonomous software development through AI-powered coding workflows, GitHub integration, task execution, and human review.
Research code. Human judgment included.
CONCEPTUAL WORKFLOW
Assign a taskA request from an allowed contributor
DeepSeek SuperAgentContext → execution → delivery
project context⌘
01context.read(repository)
02agent.work(task)
03human.review(changes)
Read project contextWork in a dedicated sessionPrepare changes for review
Review the resultA reply or pull request, back in GitHub
HUMAN IN THE LOOPAn illustration of the workflow, not a live product interface.
MIT licensedSource availableBuilt around human review
Explore the project01 / SEE THE WORKFLOW
Watch DeepSeek SuperAgent in action
Explore DeepSeek SuperAgent’s design, practical setup and limitations in this independent video by AICodeKing.
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Understand the workflow. Inspect the source. Review the changes.
02 / THE OVERVIEW
What is DeepSeek SuperAgent?
An agent that works where your team already builds.
DeepSeek SuperAgent is the name used here for dsh-superagent, an open-source research prototype published in the deepseek-ai GitHub organization. It is a proactive coding-agent bundle for DeepSeek Harness, designed to work with one GitHub repository.
It turns authorized requests into work items, gives each item its own agent session and working directory, and brings a result back to the original conversation. Depending on the task, that result may include a pull request. An optional Feishu source connects team chats.
It is intended for developers and teams exploring agent-assisted maintenance, issue handling, and code changes. The maintainers explicitly say it is not an official DeepSeek product or production-ready software. Some ideas in the associated research article are future directions, not implemented features.
Read the original README03 / THE CAPABILITIES
A coding workflow, connected.
Key features of DeepSeek SuperAgent
Capabilities described in the project README and deployment guide. This is experimental software; task outcomes depend on configuration, context, and review.
02
GitHub integration
A dedicated GitHub account listens for notifications and delivers results to the original thread. The prototype targets one repository on github.com.
03
Issue handling
An allowed contributor can mention the agent in an issue or comment to request work. Policies and allowed lists determine which requests become tickets.
04
Pull request workflow
The agent can return a pull request for code changes. Commit identity, delivery instructions, and optional merge conditions are configured by the operator.
05
Task execution
Tickets run in separate sessions and prepared working directories. The operator configures the checkout preparation, model, worker limits, and blocked commands.
06
Human review
A web panel surfaces setup requirements and work needing attention. People inspect the output, resolve problems, and decide whether changes should be merged.
DOCUMENTED IN THE PROTOTYPE
04 / FROM REQUEST TO RESULT
How does DeepSeek SuperAgent work?
Four steps, with a developer in control. This is a conceptual summary of the documented workflow, not a promise that every task succeeds.
- 01
Assign a task
An allowed contributor mentions the agent in a GitHub issue or comment with a concrete request.
- 02
Analyze the project
The request becomes a ticket. A dedicated session receives the task and prepared project context.
- 03
Execute the task
The agent attempts the work in its own directory, using the configured tools and instructions.
- 04
Review the changes
The result returns to the conversation. A developer reviews the reply, code changes, or pull request.
Authorization first. Isolated work directories. Human decisions at the end.
05 / YOUR FIRST STEPS
From curious to hands-on.
How to get started with DeepSeek SuperAgent
The official README recommends an agent-guided setup. Start with the source, then let SETUP.md guide the environment and account configuration.
BEFORE YOU START
Read the full setup guideManual installation & configuration- Node.js 22.19+ or 24+ and pnpm
- Git 2.32+, Python 3.8+, and tmux
- GitHub CLI 2.48+ and an agent account with repository write access
- DeepSeek Harness with a configured model provider
The commands below are an introduction, not a complete unattended installer. Profile creation is for new installations only; recreating an existing profile replaces its configuration. Follow the upstream guide before running commands.
Get the source
Clone the original repository and enter its working directory.
git clone https://github.com/deepseek-ai/dsh-superagent-prototype.git dsh-superagent
cd dsh-superagentUse the recommended guided setup
Give this exact prompt to your coding agent from the checkout. SETUP.md collects your repository, account, authorization, and execution choices before installing anything.
Read SETUP.md in this repository and set up dsh-superagent with me.Install the runtime and dependencies
For a manual setup, the deployment guide pins this public Harness release, then installs and builds the bundle. Follow the full guide for profile creation and plugin registration.
npm install -g @deepseek-ai/[email protected]
pnpm install && pnpm build
dsh superagent --from-default-profile web --dump-config > /dev/null
dsh plugin --profile superagent add "link:$PWD"Configure, then start
Before starting, follow the guide to create a separate Harness profile, configure cordis.patch.yml with real paths, and authenticate the agent account. Then start and inspect the service; complete Sources, Policy, Execution, and Prompts in its panel.
scripts/dsh-superagent start
scripts/dsh-superagent statusBased on the official README, SETUP.md, and deployment guide · checked November 3, 2026
06 / BUILT IN THE OPEN
Read the code. Make up your own mind.
Explore the open-source project, follow its design decisions, and use the original documentation as your source of truth.
Explore the repositorydeepseek-ai /
dsh-superagent-prototypeTowards a more autonomous agent system. A research prototype for reference, published by deepseek-ai.
Research prototype · Not an official DeepSeek product
07 / A FEW GOOD QUESTIONS
Frequently asked questions
The essentials, with answers grounded in the original project documentation.
01What is DeepSeek SuperAgent?
It is the name used on this website for dsh-superagent: an open-source, proactive coding-agent research prototype for DeepSeek Harness. It turns authorized requests for one GitHub repository into tickets, works in dedicated sessions, and replies in the original conversation.
02Is DeepSeek SuperAgent open source?
Yes. The dsh-superagent-prototype repository is publicly available in the deepseek-ai GitHub organization under the MIT License. Check the repository's LICENSE file for the exact terms.
03Is DeepSeek SuperAgent an official DeepSeek product?
No. Although the repository is published under deepseek-ai, its README explicitly calls it a research prototype for reference only, not an official DeepSeek product. This website is also an independent informational resource with no affiliation or official endorsement.
04What can DeepSeek SuperAgent do?
The documented prototype receives authorized GitHub requests, creates work tickets, runs coding sessions in dedicated directories, and delivers results such as replies or pull requests. Feishu integration is optional. Capabilities described as future research directions should not be assumed to exist in the prototype.
05How does DeepSeek SuperAgent work?
A source receives a request, authorization policies decide whether it can become work, and an executor works on the ticket in its own agent session. The result is returned to the original thread, while a web panel shows setup requirements, status, and work needing human attention.
06How do I install DeepSeek SuperAgent?
Clone the repository and ask your coding agent: Read SETUP.md in this repository and set up dsh-superagent with me. That is the README's recommended path. Manual installation is documented in docs/006-deployment.md and includes runtime prerequisites, a separate Harness profile, agent credentials, and panel settings.
07Does DeepSeek SuperAgent support GitHub?
Yes. It is designed for one repository on github.com using a dedicated agent user account and GitHub CLI credentials. The agent needs write access. The deployment guide says GitHub Enterprise Server is not supported.
08Is DeepSeek SuperAgent ready for production?
No. The maintainers explicitly describe it as research code that may have bugs and inconsistent engineering practices. Review and adapt the implementation before using it. Human review remains essential, and task success is not guaranteed.
09Can beginners use DeepSeek SuperAgent?
Beginners can read the code and documentation, but operating the prototype requires familiarity with a terminal, GitHub permissions, Node.js, and local runtime configuration. The guided setup can help, but it does not remove the need to understand access permissions and review generated code.
10Where can I find the source code?
The original source is at github.com/deepseek-ai/dsh-superagent-prototype. Start with README.md, then SETUP.md and the numbered documents in docs/. All repository buttons on this website point to that original project.