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Agent tooling for generative LEGO models building, built with Astra and Opus 5.5, powered by Jev
- Forks
- 32
- Last pushed
- Updated Oct 2026
Repo stats from the GitHub API, cached Oct 2026.
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CommunityJev Tools & CLIs
Ldraw Nova
Agent tooling that turns a model idea into a buildable LEGO model: the agent writes a plan and a generator script that produce LDraw source, plus a 3D viewer, a Blender-editable glTF file and a Meta Quest 3 VR view. Part search uses jev-rerank, a semantic search reranked by TypeSafe's Jev.
- Stars
- 362
- Language
- Python
- License
- AGPL-3.0
- Reading time
- 2 min
- Published by
- Community
- Author
- anteloc
- Last verified
- Oct 2026
Highlights
- Give an agent a model idea and get LDraw source, a 3D viewer and player, a Blender-editable glTF file and a Meta Quest 3 VR view.
- Part and example lookup uses jev-rerank, a semantic search with re-ranking backed by TypeSafe's Jev System One model.
- Without a TYPESAFE_API_KEY, reranking is skipped and agents fall back to full-text search, which the README says could yield worse models.
- Runs dockerized from two sibling repos pinned to the same tag; the first v0.6.0 build needs about 5 GB of disk.
- Serves VR on https://localhost:8443 and plain HTTP on http://localhost:8765 with no login, so run it only on trusted networks.
Quickstart
bash
git clone --branch v0.6.0 https://github.com/anteloc/ldraw-nova.git
git clone --branch v0.6.0 https://github.com/anteloc/ldraw-nova-docker.git
cd ldraw-nova-docker
docker compose build
docker compose up -dWatch out
Copy reviewed against the repo README on 2026-10-15; the README reports no benchmarks and says earlier attempts never produced models the author considered correct. It is AGPL-3.0 licensed, and the app has no login, so keep it off untrusted networks.
Questions about this entry
Short answers drawn from the linked project or page.
An LDraw LEGO model: its source code in the LDraw language, different views (3D viewer, 3D player, Meta Quest 3 VR, images), a Blender-editable glTF .glb file, the chat history and the agent's thinking process.
Its agent tools find suitable parts and example models with jev-rerank, a semantic search tool with re-ranking backed by TypeSafe's Jev System One model. Jev is used for retrieval in the toolchain, not for generating the model code.
It is optional. With a TYPESAFE_API_KEY set in the web app's Settings, reranking search works; without it, reranking does not work and agents fall back to a full-text search strategy that the README says could yield worse models.
Clone both ldraw-nova and ldraw-nova-docker side by side at the same tag (v0.6.0), then run docker compose build and docker compose up -d from the docker repo. You need Git, Docker and about 5 GB of disk for the first build.
https://localhost:8443 for the VR-capable view with a self-signed certificate, and http://localhost:8765 for plain HTTP without certificate warnings. VR does not work over the plain HTTP port.
It reads the LDraw instructions, plans parts and submodels, then creates a plan.json and a generator.py that, when executed, produces the LDraw source (.mpd). It iterates by rendering images, inspecting them and adjusting until it considers the model finished.
No. The app has no login, so the README says to run it only on networks you trust; other devices can reach it by your computer's IP, for example https://192.168.1.20:8443 from a Quest 3.
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