I built Arbor because standard RAG-based AI tools are "architecturally blind." They see code as text snippets, but they don't understand the graph of your logic.
Arbor uses Rust and Tree-sitter to index your AST locally and maps it into a 3D Logic Forest. It’s an MCP server, so you can plug it into Claude Desktop and watch the camera "fly" to the code the AI is talking about.
Key features: 100% Local-First: Your code never leaves your machine. Sub-100ms Sync: Real-time indexing even on large repos. Cinematic Visualizer: Built in Flutter with custom GLSL shaders for a high-fidelity experience.
I'd love to hear your thoughts on using graph-based context vs. traditional vector embeddings for AI coding assistants!
anandb71•1d ago
Arbor uses Rust and Tree-sitter to index your AST locally and maps it into a 3D Logic Forest. It’s an MCP server, so you can plug it into Claude Desktop and watch the camera "fly" to the code the AI is talking about.
Key features: 100% Local-First: Your code never leaves your machine. Sub-100ms Sync: Real-time indexing even on large repos. Cinematic Visualizer: Built in Flutter with custom GLSL shaders for a high-fidelity experience.
I'd love to hear your thoughts on using graph-based context vs. traditional vector embeddings for AI coding assistants!