Show HN: Blender for AI Agents

Creating 3D is hard. LLMs seem to be getting better at tool use and spatial understanding. While MCPs have proved to be a good way to use these tools- the current methods have these challenges:

- Access to scene graph and core C modules of Blender

- Lack of parallelism, only way is to run blender headless

- Lack of deterministic and fast verification layer

- Inference stack- only way to use inference is to hook another MCP

We're building Mixar, think Cursor for 3D. One access point to all generative inference, an agent to build scenes/blockouts, do boring stuff like UVs and export standard formats(.glb/gltf/obj/gbx/usd etc.)

Try it: https://mixar.app - first week is free. Would love to get your feedback.

Show HN: Blender for AI Agents
mixar.app

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true, what we have seen, agent can place the rigg decently well but where it's performs bad is assigning the weight paints. we're working to solve this. more updates soon!

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Does the agent have any guardrails around scene complexity before it makes changes?