v2rmp

- CPP Solvers: Internal Rust solver + externalrust-optimizer(5-8x faster, 20-60% better efficiency)
- VRP Solvers: Greedy, Clarke-Wright, Sweep, Two-Opt, OR-Tools, Neural
- Data Sources: Overture Maps, OSM PBF, PMTiles, PostGIS
- Binary Format:.rmp- compact binary road network storage (~90% compression)
- MCP Server: 25+ tools for AI agent integration
- ML Features: Solver selection, quality prediction, graph embeddings

For better CPP results, install the external optimizer:

# Extract road network rmpca extract --source overture --bbox "-73.6,45.5,-73.5,45.6" --output roads.geojson # Compile to binary rmpca compile --input roads.geojson --output map.rmp # Optimize route (use external engine for best results) rmpca optimize --input map.rmp --output route.gpx --cpp-engine external-rust-optimizer # Or use the full pipeline rmpca pipeline --bbox "..." --output-prefix my_route

Connect AI agents to v2rmp with 25+ tools:

{ "mcpServers": { "rmpca": { "command": "rmpca", "args": ["serve"] } } }

Tools:extract_overture,compile,optimize,v2rmp_rust_optimizer,vrp_solve,partition,list_r2_bucket, etc.

v2rmpfeatures a specialized, 100% offline LLM agent designed to orchestrate the route optimization pipeline. Built on a fine-tuned 1.5B parameter model, it translates natural language routing requests directly into tool commands—without needing internet access or cloud APIs.

# Pull and run the local agent via Ollama ollama run spacialglaciercom/v2rmp-agent

For more info, visit theOllama Hub page.

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