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dsh-local-ai

Local-model (Ollama and OpenAI-compatible) integration and task-based routing with cloud fallback for DeepSeek Harness.

VisionUI & ProductivityTerminal & TUIDeveloper ToolsSecurity & PolicySkills & Workflows
20GitHub Stars1ForksUpdated2026-10-12

Install

$ dsh plugin --profile web add github:PerryLink/dsh-local-ai

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-local-ai is a DeepSeek Harness plugin that integrates local models through Ollama and OpenAI-compatible backends (such as LM Studio, vLLM, and llama.cpp). It registers custom LLM adapters, offers tools to inspect, pull, and remove models, routes requests based on task types or keywords, and falls back to cloud providers when local generation fails before streaming starts.

Key Capabilities

  • Registers Ollama and OpenAI-compatible LLM adapters via ctx.llm.registerAdapter
  • Inspects, pulls, lists, and removes local models using dedicated tools (ollama_list, ollama_show, ollama_pull, ollama_remove)
  • Provides a /ollama slash command and health check tool reporting both process and API responsiveness
  • Rule-based routing to local models by task purpose, keywords, or default preference with automatic cloud fallback before first token output
  • Optional vision capability negotiation when models report multimodal support

Useful For

  • Routing sensitive or confidential prompts to local offline models while keeping standard tasks on cloud providers
  • Managing and monitoring local Ollama model disk usage, running state, and health directly from DeepSeek Harness
  • Delegating routine background tasks like session compaction and title generation to fast local models

Who It Fits

  • Developers running local LLMs through Ollama, LM Studio, vLLM, or llama.cpp
  • Privacy-conscious users wanting automatic offline routing for confidential tasks in DeepSeek Harness
  • Power users managing local model inventories and fallbacks

Documented Limitations

  • Only pre-token failures trigger automatic cloud fallback; failures that occur mid-stream after generation starts are forwarded to the caller
  • Image input is supported only for models explicitly reporting vision capabilities via /api/show; text-only models reject multimodal payloads
  • Requires an accessible Ollama or OpenAI-compatible backend service running locally or over the network

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 2 runtime, 22 development, 8 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 Apache-2.0.

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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
PerryLink/dsh-local-ai
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
db47771 · 2026-10-16

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.

Repository Activity

GitHub stars
20GitHub stars
Forks
1
Open issues
1
Last commit
2026-10-12
Last release
2026-10-10
For maintainers

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