Knowledge3D

danielcamposramos/Knowledge3D

K3D: a GPU‑native spatial knowledge architecture where humans and AI cohabit 3D “houses” of memory—unifying CAD‑like geometry, vector graphs, and neurosymbolic reasoning. Open specs + Apache‑2.0 reference code.

25 stars

3 forks

Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/danielcamposramos/Knowledge3D

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/danielcamposramos/Knowledge3D ~/.claude/skills/Knowledge3D

# Project-specific

git clone https://github.com/danielcamposramos/Knowledge3D .claude/skills/Knowledge3D

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/danielcamposramos/Knowledge3D"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/danielcamposramos/Knowledge3D

Option 2: Clone to extensions directory

git clone https://github.com/danielcamposramos/Knowledge3D ~/.gemini/extensions/Knowledge3D

Topics

3d-knowledge-graph gltf gpu-native k3d knowledge-representation neurosymbolic-ai neurosymbolic-integration procedural-compression ptx rpn rpn-engine sovereign-ai spatial-knowledge spatial-ui three-brain-system threejs

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