A coordinate-based semantic addressing system for AI agents, providing tools to derive immutable addresses, search concepts, and manage personae via the Model Context Protocol.
Pay-per-use semantic memory for AI agents with cryptographic
attestation. Vector embeddings with SHA256 commitment, secp256k1 signature,
and Lightning invoice.
Persistent, consensus-validated institutional memory for AI agents. Gives LLMs real memory that survives across sessions - validated through BFT consensus, not just dumped to a file.