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What you can do with Loopcut

Loopcut is an open-source AI agent built into a fork of Blender 5.2 that writes and runs Python to carry out technical scene work from plain-language requests.

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Samffprice/loopcut on GitHub

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What do you want to do?

4 use cases

  • Clean up a messy Blender scene from one message

    Rename, sort, fix normals and purge orphans in one request, with each step approved first.

    View prompt
    Using the Loopcut add-on in the Samffprice/loopcut repo, ask the agent to rename objects in <path to .blend> by what they are, sort lights into their own collection, and purge orphan data. Expect a Scene changes card listing every added, removed and changed item. Verify that the card matches the outliner, and that Undo all restores the scene.

  • Match a scene's framing to a reference photo

    Attach a reference image and let the agent compare viewport captures and adjust the shot.

    View prompt
    Use the Samffprice/loopcut Loopcut agent to frame <scene file> to match the attached reference image, using capture_viewport and compare_with_reference. Expect an adjusted camera or viewport and a render preset at 2048 pixels. Verify by comparing the final capture with the reference visually before accepting the change.

  • Build an IK leg rig with mirrored .L and .R names

    Ask for IK chains with pole targets and consistent left and right naming in one request.

    View prompt
    Using the Samffprice/loopcut Loopcut add-on, ask the agent to add IK chains with pole targets to the legs of <object name> and mirror bone names to .L and .R. Expect new IK constraints and consistent naming reported in the Scene changes card. Verify with get_object_info that the constraints exist and that each left side name has a matching right side name.

  • Build Loopcut from source to change its add-on

    Clone the fork, build the dev app and run the add-on tests to modify Loopcut.

    View prompt
    In the Samffprice/loopcut repo, run `make update`, then `ninja -C ../build/lite install`, then `python3 -m unittest discover -s loopcut/tests`. Expect the build to finish and the tests to report a result. Verify that the test run completes without Blender open and report any failing test names.

How to use Loopcut

  1. Check you have what it needs: A Mac with Apple silicon or a 64-bit Windows PC (the README lists these builds); An Anthropic key, an OpenAI-compatible key, a local model server such as Ollama, or a Loopcut hosted account; Blender scene files you are happy to let the agent modify, since each step runs Python in the open scene.
  2. Open Samffprice/loopcut on GitHub and read the README and license.
  3. Download the latest build from the releases page (https://github.com/Samffprice/loopcut/releases/latest) and install it: drag Loopcut to Applications on macOS, or run the .msi on Windows.
  4. On first launch, choose Import Blender 5.2 Settings or Start Fresh, then connect a model in the panel.
  5. Open the Loopcut panel with ⌘ L on macOS or Ctrl Alt L on Windows.
  6. Type a request such as: Rename everything after what it is, put the lights in their own collection, and apply scale on everything.

These steps come from our top use case, Clean up a messy Blender scene from one message, which also has a copy-paste agent prompt.

Loopcut alternatives · Best AI repos for Content

About this repo

  • Who it is forBlender artists, technical artists and riggers who want to hand repetitive scene cleanup, rigging and render setup to an agent while keeping approval over each step.
  • Why it is hot
  • LanguageC++
  • Sourcegithub.com/Samffprice/loopcut · Back to Hot repos

Requirements

  • A Mac with Apple silicon or a 64-bit Windows PC (the README lists these builds)
  • An Anthropic key, an OpenAI-compatible key, a local model server such as Ollama, or a Loopcut hosted account
  • Blender scene files you are happy to let the agent modify, since each step runs Python in the open scene

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Questions about Loopcut

What is Loopcut?

Loopcut is an open-source AI agent built into a fork of Blender 5.2 that writes and runs Python to carry out technical scene work from plain-language requests. It is an open-source project on GitHub: https://github.com/Samffprice/loopcut.

Who is Loopcut for?

Blender artists, technical artists and riggers who want to hand repetitive scene cleanup, rigging and render setup to an agent while keeping approval over each step.

What can I do with Loopcut?

4 use cases so far, for example: Clean up a messy Blender scene from one message; Match a scene's framing to a reference photo; Build an IK leg rig with mirrored .L and .R names. Each has steps and a copy-paste agent prompt.

What do I need to run Loopcut?

A Mac with Apple silicon or a 64-bit Windows PC (the README lists these builds); An Anthropic key, an OpenAI-compatible key, a local model server such as Ollama, or a Loopcut hosted account; Blender scene files you are happy to let the agent modify, since each step runs Python in the open scene.

What are alternatives to Loopcut?

Other hot AI repos in Content: Hermes Speech, Wonder Pill, Comfy UI Mini Max H3 Image Studio, GPT Image 2 5 Prompt Atlas, Genart Skill.

Is Loopcut safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.