DeepSeek Harness PluginManifest Valid

dsh-prime-orchestrator

Prime Agent orchestration bundle for DeepSeek Harness with delegation engine, agent tools, UI fleet controls, and Cloudflare Workers AI integrations.

UI & ProductivityTerminal & TUIDeveloper ToolsBrowser & WebSkills & Workflows

1GitHub Stars0ForksUpdated2026-09-11

Source

Install

$ dsh plugin --profile web add dsh-prime-orchestrator

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded

dsh-prime-orchestrator is an installable DeepSeek Harness plugin bundle that transforms a dsh agent into an orchestrator over Prime Agent sessions. It includes a host delegation engine (ctx.prime), the model-facing prime_agent tool, agent presets, a Web GUI fleet management column and settings UI, as well as Cloudflare Workers AI tools and native LLM provider adapters.

Key Capabilities

Host-plane delegation engine (ctx.prime) with protocol-7 daemon socket communication and /prime JSON API
Model-facing prime_agent tool for delegating, monitoring, steering, model switching, and inspecting recursive subagents
Pre-configured prime-orchestrator agent preset with automatic startup materialization and user-edit preservation
Web GUI Prime fleet column and pending-questions overlay banner for live session transcripts and control
cf-tools suite providing cf_ai_run and cf_ai_models to execute Cloudflare Workers AI tasks
Native Cloudflare Workers AI LLM provider adapter (cf-workers-ai-native) supporting streaming completions and reasoning blocks

Useful For

Orchestrating multi-agent tasks and delegating subtasks to local or remote Prime Agent sessions
Steering, monitoring, and debugging complex subagent execution workflows directly from the DeepSeek Harness Web GUI
Running specialized Cloudflare Workers AI models (audio, image, embeddings, text) directly within agent workflows
Routing harness model requests through Cloudflare Workers AI native chat endpoints

Who It Fits

Developers coordinating multi-agent delegation pipelines in DeepSeek Harness
Engineers using the Prime Agent ecosystem alongside DeepSeek Harness
Users needing direct access to Cloudflare Workers AI models and native provider routes

Documented Limitations

Requires the prime-agent CLI to be installed and available on the system PATH
Supported on dsh versions 0.1.0-rc.7 and 0.1.1-rc.2; incompatible with 0.1.0-rc.5 or older and 0.1.2-alpha
Workers AI execution requires a valid Cloudflare Account ID and API token, subject to account neuron quotas and rate limits

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 27 development, 10 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository: mrme000m/dsh-prime-orchestrator
Registry source: GitHub · dsh-plugin topic
Registry classification: Plugin Bundle
Source checked: 59816ef · 2026-09-27

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.