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blender

Verified · install-tested on dsh CheshireJCat

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2026-09-16Last push
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What it does

DeepSeek Harness plugin for complete Blender 3D modeling, reconstruction, rendering, validation, and export workflows

✅
Our take
Works — verified, growing community

DeepSeek Harness plugin for complete Blender 3D modeling, reconstruction, rendering, validation, and export workflows It installs cleanly and boots without issues in our testing. It has a growing community — a solid choice.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

dsh-blender

简体中文

awesome · DSH plugin

An installable DeepSeek Harness plugin that gives dsh a complete Blender-backed 3D production workflow. It registers one orchestrator plus 29 directly loadable domain skills, all 26 upstream analysis/validation helpers, and 13 workspace-scoped Blender tools.

Example output

Camera-free lamp preview generated by dsh-blender

Camera-free preview generated during a real dsh-blender installation smoke test.

Tools

  • blender_status checks Blender, analysis Python, skills, helpers, and the active workspace.
  • blender_scene_info and blender_object_info inspect scenes and object-level geometry, materials, UVs, constraints, shape keys, and animation.
  • blender_import converts supported portable assets into versioned .blend sources.
  • blender_python runs a small reviewed bpy/bmesh chunk and saves a versioned .blend.
  • blender_preview, blender_render, and blender_render_frames create blockout, look-dev, and animation evidence for read_image QA.
  • blender_export exports GLB/glTF, FBX, OBJ, STL, USD, or PLY.
  • blender_validate_scene and blender_validate_export perform target-aware audits and clean-process re-import checks.
  • blender_helper_catalog and blender_helper_run expose all 26 deterministic reference, wireframe, contour, multiview, UV, texture, look, repair, and animation-QA helpers.
  • The bundled 30-skill stack coordinates blockout, refinement, materials, lighting, cameras, animation, reconstruction, validation, and artifact handoff.

No Blender add-on or control port is required: each operation launches a local Blender background process.

Requirements

  • DeepSeek Harness 0.1.0-rc.6
  • Node.js 20+
  • Blender 4.3+ available as blender on PATH, or configured with an absolute path
  • Python 3.10+ for the optional reference-analysis helpers

Install from npm

npx @deepseek-ai/dsh plugin --profile web add dsh-blender
npx @deepseek-ai/dsh plugin --profile web exec dsh-blender-setup
npx @deepseek-ai/dsh --profile web --dump-config
npx @deepseek-ai/dsh web

The setup command creates a private .venv inside the installed package and installs OpenCV, NumPy, Pillow, and SciPy. Skip it only if you do not need reference, wireframe, multiview, texture, or animation-analysis helpers.

To install a pinned GitHub release instead:

npx @deepseek-ai/dsh plugin --profile web add github:CheshireJCat/blender#v0.2.2

Develop from source

pnpm install
pnpm setup:analysis
npx @deepseek-ai/dsh plugin --profile web add .

Open http://127.0.0.1:3080, create a session whose workspace is the modeling directory, and ask dsh to use create-3d-model.

See README.zh-CN.md for configuration, security boundaries, headless use, and validation commands.

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install blender for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

Web profile:

dsh plugin --profile web add blender

Headless (CLI) profile:

dsh plugin --profile headless add blender

Package

npm: blender · version — · tested on dsh 0.1.0-rc.6

Test report

Verified end-to-end: L1 install + L2 load + L3 runtime Q&A on dsh 0.1.0-rc.6.

When to use it

Give the agent a memory, a knowledge base, or a retrieval layer so it stops forgetting context between sessions.

Who it's for

Users running long projects who want the agent to remember decisions, docs, and preferences without re-explaining.

For developers — extending it

The memory/retrieval backend is the seam — plug a new store, tune what gets distilled, or add citation and audit trails.

Security: not yet scanned — our daily static scan will cover it shortly.

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