Gives AI a virtual body to explore real locations on Earth using authentic terrain, weather, sky, radio, wildlife, and cultural data, with tools for walking, observing, asking about history, and collecting souvenirs—fully offline-capable.
Pay-per-use semantic memory for AI agents with cryptographic
attestation. Vector embeddings with SHA256 commitment, secp256k1 signature,
and Lightning invoice.
Provides sovereign geospatial awareness by wrapping open, non-US-dependent geospatial APIs for AI-agent situational awareness, environmental compliance, and disaster response.
Enables geospatial operations such as geocoding, routing, map visualization, satellite imagery, and weather data through a unified MCP interface, making Earth data accessible to non-programmers.
An MCP server that connects AI agents to cloud-native geospatial data via STAC metadata and DuckDB with H3 spatial indexing, enabling zero-configuration SQL queries on terabyte-scale datasets over S3.
Content-addressed vocabulary protocol: 452 cognitive patterns with cryptographic identity. Agents sharing a handle (e.g. StateLock#5602) provably share meaning — mismatched vocabularies halt rather than silently drift.