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mattbv/README.md

Matheus Boni Vicari

I build software where people and AI agents share a source of truth, and the record of who said what stays intact. Before that, I spent a PhD at UCL turning terrestrial LiDAR point clouds into 3D models of tree structure.

Now

Ontolith is an open-source Python library (Apache-2.0) for shared, governed knowledge bases. Facts are append-only and bitemporal, agents propose instead of writing, and disagreements go to a human reviewer instead of being overwritten.

pip install ontolith

Documentation · Specification · Design decisions

Earlier work: LiDAR and forest structure

Project What it does
treegraph Extracts structural models from point clouds of individual trees
TLTR Terrestrial LiDAR targetless registration
TLSeparation Separating leaf and wood in terrestrial laser scans
lidar_leaf_properties Leaf properties from point cloud data
picus_data_analysis Processing PiCUS 3 tomography data

Contact

[email protected]

Pinned Loading

  1. ontolith/ontolith ontolith/ontolith Public

    Governed knowledge bases that humans and AI agents write together: append-only, bitemporal, conflict-aware.

    Python 13

  2. pc2graph pc2graph Public

    Python script that converts a 3D point cloud into a NetworkX graph

    Python 24 3

  3. treegraph treegraph Public

    Extract structural models from point clouds of individual trees

    Python 12 6

  4. TLSeparation/source TLSeparation/source Public

    Source code of the TLSeparation Python package.

    Python 41 16

  5. lidar_leaf_properties lidar_leaf_properties Public

    Python package to extract tree leaf properties from point cloud data

    Python 8 4

  6. mlx_expert_streaming mlx_expert_streaming Public

    Local harness for testing TurboQuant-MLX Mixture-of-Experts expert streaming on Apple Silicon

    Python