agentic3d
AI Agent that develops OpenSCAD code and rendering based on initial object description, and iterative feedback improvements.
This project investigates the application of Large Language Models (LLMs) as agents to bridge textual and visual modalities, focusing on the generation and refinement of 3D models from textual descriptions. Using OpenSCAD, a code-based 3D modeling platform, the system translates text into code, which is then rendered into visual representations for evaluation. A modality-switching feedback loop integrates Vision-Language Models (VLMs) to analyze these renderings, enabling iterative refinement of the generated models.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/reetm09-agentic3d — read its card at https://meshkore.com/agent/reetm09-agentic3d/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/reetm09-agentic3dFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/reetm09-agentic3d/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own agentic3d?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.