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DeepSeek Bot Tutorial: Build a Multi-Agent Workspace with DSH

This tutorial introduces DeepSeek Bot, a DeepSeek Harness plugin for turning DSH Web and Desktop into a multi-agent collaboration workspace. You will review its capabilities, understand the documented setup status, and learn how to plan usage without relying on undocumented commands.

DeepSeek Bot Tutorial: Build a Multi-Agent Workspace with DSH

What Is DeepSeek Bot?

DeepSeek Bot, also called dsh-bot, is a plugin for DeepSeek Harness (DSH). It is designed to turn DSH Web and DSH Desktop into a workspace where multiple AI agents can communicate, coordinate, and work in parallel.

The project is intended for users who want a collaboration experience similar to a multi-agent bot workspace rather than a single-agent chat. The README describes it as an independent community project and states that the source code will be fully open-sourced soon.

DeepSeek Bot is not affiliated with DeepSeek, xAI, or any other company mentioned in the project documentation.

Key Features

  • Agent communication: Multiple agents can exchange information and coordinate their work.
  • Custom providers: You are not tied to a single provider subscription. The README notes that support for using AI subscriptions may be added later.
  • Parallel execution: Multiple agents can work simultaneously without interfering with one another.
  • Group chats: Agents can participate in multi-agent group conversations, although these use a significant amount of quota.
  • Customization: The project is described as highly customizable.

Installation and Setup Status

The current README does not provide installation commands, configuration files, release packages, or a detailed setup procedure. It also says that the source code will be fully open-sourced soon. Therefore, avoid assuming a package name, command-line command, provider schema, or configuration format that is not documented.

  1. Start by installing or accessing the required DeepSeek Harness environment according to the official DSH documentation.
  2. Monitor the DeepSeek Bot repository for its source release and official installation instructions.
  3. When a release is available, follow the repository's documented setup steps rather than using guessed commands.
  4. Review provider configuration and quota requirements before enabling parallel agents or group chats.

At the time described by the README, the safest setup action is to watch or star the repository so you can find the release when it is published.

Understanding the Basic Workflow

Although the README does not include a runnable example, its feature list outlines the intended workflow:

  1. Create or access a DSH Web or Desktop workspace.
  2. Configure the supported providers once the project documentation specifies the available options.
  3. Assign separate tasks to multiple agents.
  4. Allow agents to communicate and coordinate their results.
  5. Review the combined output and refine the workflow using the project's customization options.

For example, a future documented workspace could divide a research task among several agents: one agent gathers information, another compares findings, and a third coordinates the final response. This is a conceptual example based on the project's multi-agent design, not a command or configuration demonstrated in the README.

Using Parallel Agents Responsibly

Parallel work is one of DeepSeek Bot's central ideas. Independent agents can handle separate tasks at the same time, reducing the need to run every step sequentially. To use this model effectively, divide a large task into clearly separated responsibilities and define how results should be communicated.

Keep each agent's role narrow enough to prevent duplicated work. For example, use separate roles for research, verification, and synthesis instead of asking every agent to complete the entire task. Because the README does not document a specific role or routing syntax, implement these roles only through officially supported configuration once it becomes available.

Multi-Agent Group Chats and Quota

DeepSeek Bot supports multi-agent group chats, but the README warns that these conversations use a lot of quota. Treat group chats as a deliberate collaboration mode rather than the default for every request.

  • Use group chats for tasks that benefit from discussion between agents.
  • Prefer independent parallel tasks when agents do not need to see one another's intermediate messages.
  • Monitor usage before scaling the number of participants.
  • Summarize intermediate results when possible to keep collaboration focused.

Advanced Tips

Choose Providers Carefully

Custom providers are intended to prevent dependence on a single subscription. Before configuring a provider, verify that it is supported by the released version of the plugin and follow the provider-specific documentation. The README does not list provider names, credentials, or configuration fields.

Separate Independent Work

Parallel agents are most useful when their tasks can be performed independently. Break work into separate research, analysis, validation, or drafting stages, then establish a clear handoff for the final result.

Control Quota Usage

Group chats can consume substantial quota. Begin with a small number of agents, measure the value of collaboration, and expand only when the task justifies the additional usage.

Track Project Updates

The project is still evolving, and the README indicates that the source code will be released soon. Watch the repository for changes to installation instructions, supported providers, configuration options, and usage examples.

Licensing and Project Status

DeepSeek Bot is released under the Apache License 2.0, according to the README. It is an independent community project, so users should distinguish it from the companies and products referenced in its documentation.

Conclusion

DeepSeek Bot aims to make DeepSeek Harness a multi-agent collaboration workspace for DSH Web and Desktop. Its documented strengths are agent coordination, parallel execution, custom providers, group chats, and broad customization. Because the README does not yet include installation commands or runnable examples, use this guide as a feature and planning overview, then follow the repository's official release instructions when they become available.