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dsh-koboldcpp-hands

A DeepSeek Harness tool plugin that delegates text and vision/OCR tasks to a local KoboldCpp server.

VisionTerminal & TUIDeveloper ToolsSecurity & Policy
1GitHub Stars0ForksUpdated2026-08-15
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Repository Intelligence

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source-grounded
dsh-koboldcpp-hands installs two Harness tools for local KoboldCpp inference: text generation and multimodal image analysis. It can launch and manage a configured KoboldCpp process or reuse an existing server.

Key Capabilities

  • Registers `koboldcpp_run` for local text tasks such as rewriting, extraction, summarization, and translation.
  • Registers `koboldcpp_vision` for image analysis, OCR, and multi-image comparison.
  • Accepts local image paths, data/HTTP(S) image URLs, and images attached to the current Harness conversation.
  • Launches KoboldCpp using a user-provided executable and `.kcpps` configuration, polls server readiness, and supports idle, exit, or never-stop behavior.
  • Reuses externally started KoboldCpp servers without terminating them.
  • Supports live settings overrides through the Harness user-settings document and executable/config environment-variable fallbacks.

Useful For

  • Offload repetitive text transformations to a local model.
  • Perform local OCR or image analysis through an agent tool call.
  • Compare two to four images in one multimodal request.
  • Use a local KoboldCpp model for selected tasks while retaining the online Harness model as the primary conversational model.

Who It Fits

  • DeepSeek Harness users with a local KoboldCpp installation.
  • Users who have GGUF models and, for vision, a multimodal model with an `mmproj` projector.
  • Developers configuring Cordis-based Harness deployments.

Documented Limitations

  • Requires Node.js 20 or later, a DeepSeek Harness installation, and a KoboldCpp binary exposing `/v1/chat/completions`.
  • Users must supply and configure their own KoboldCpp executable, `.kcpps` launch configuration, models, and GPU/backend settings.
  • Vision requires a multimodal GGUF model and `mmproj`; without `mmproj`, the model cannot see images.
  • Does not replace the Harness LLM provider, stream responses, bundle model files, or automatically select GPU backends.
  • The documented KoboldCpp binary examples and process-tree termination behavior are Windows-oriented.

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

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Dependency Counts

package.json declares 0 runtime, 16 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 MIT.

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Package Manifest Available

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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

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Source & Registry Notes

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Source repository
MicroHEROX/dsh-koboldcpp-hands
Registry source
Public GitHub repository
Source snapshot
7aad8922a782
Artifact type
plugin
AI enrichment
gpt-5.6-terra · 2026-08-14
Prompt version
dsh-plugin-enrichment-v3

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
1GitHub stars
Forks
0
Open issues
0
Last commit
2026-08-15
Last release
2026-08-14

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