DeepSeek Harness Plugins
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dsh-local-ai

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

VisionUI & ProductivityTerminal & TUIDeveloper ToolsSecurity & PolicySkills & Workflows
12GitHub Stars1ForksUpdated2026-09-12

Install

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

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 integrates local LLMs (via Ollama, LM Studio, vLLM, or llama.cpp) directly into DeepSeek Harness. It registers an official LlmAdapter route, provides model management tools (list, pull, remove, inspect), and enables rule-based request routing by task type or keyword with automatic fallback to cloud providers if the local model fails before producing content.

Key Capabilities

  • Manage Ollama models with dedicated tools (ollama_list, ollama_show, ollama_pull, ollama_remove)
  • Registers Ollama and OpenAI-compatible provider endpoints via ctx.llm LlmAdapter
  • Rule-based request routing by task purpose (e.g. compaction, session title), keywords, or default
  • Automatic cloud fallback if local routing fails before token generation
  • Process and API health checks alongside a one-shot /ollama status command
  • Support for vision payloads when reported by local models

Useful For

  • Routing privacy-sensitive or offline prompts to local models while keeping general queries on cloud LLMs
  • Offloading background housekeeping tasks like session title generation or context compaction to lightweight local models
  • Inspecting and downloading Ollama models directly within DeepSeek Harness sessions

Who It Fits

  • DeepSeek Harness developers seeking offline or privacy-centric local model execution
  • Users running Ollama, LM Studio, vLLM, or llama.cpp locally alongside cloud LLMs

Documented Limitations

  • Requires a running Ollama or compatible local inference server
  • Fallback to cloud only succeeds if the local route fails before emitting the first token; mid-stream failures are forwarded directly
  • Developed and tested against DeepSeek Harness 0.1.1-rc.2

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.

No automated security signals have been published yet.

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
3b48d9e · 2026-09-15

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
12GitHub stars
Forks
1
Open issues
0
Last commit
2026-09-12
Last release
2026-09-12
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