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dsh-bridge

Workflow Updated 2026.09.15

Run the following command in DeepSeek Harness:

dsh plugin install baixianger/dsh-bridge

Paste the following prompt into your AI chat to install this plugin:

Install this plugin in DeepSeek Harness by running dsh plugin install baixianger/dsh-bridge; full source code is available at https://github.com/baixianger/dsh-bridge

About this plugin

Running multiple agent sessions on a single DeepSeek Harness host often leaves them as information silos—unable to discover one another or hand off context. dsh-bridge closes that local communication gap by providing a session discovery and messaging layer inside a single host process, so every node in your workflow can actually talk to the others.

Three tools cover the essentials: session_list surfaces every active session with its current state; session_send delivers a message by exact ID or human-readable title, gracefully handling idle wake-ups, queued work for running agents, and merged cold-resume operations; session_messages returns a bounded slice of the recent delivery log. The delivery engine respects the full session lifecycle—archived sessions reject messages, in-flight cancellations prevent stale follow-ups, and every path shares a unified acknowledgement and audit trail.

Built for developers orchestrating multi-agent pipelines on one host, and for plugin authors who need a local transport foundation beneath DSH Chat rooms or DSH Weave cross-host delivery. It runs entirely in memory, requires no external service, and is ready the moment the plugin loads.

Screenshots

Use Cases

  • Orchestrating multiple agent sessions on one host to collaborate on complex tasks
  • Building a local session discovery and delivery foundation for new plugins
  • Monitoring and auditing inter-agent message records and delivery status

Best For

  • Developers orchestrating multi-agent workflows on a single host
  • Plugin authors building a local transport layer for DSH Chat or Weave
  • Operators who need to debug and audit inter-agent message flows in production