Cortex Decentralized AI Memory

Example Use Cases

• 1

  Persistent, structured long-term memory without cloud dependency.

• 2

  Cross-channel identity resolution and relationship inference.

• 3

  Fast, local semantic search and context generation for LLMs.

Description

Cortex is a persistent memory engine designed to run entirely on local hardware, enabling AI agents to remember, learn, and evolve without relying on cloud services. It offers a structured, queryable long-term memory with advanced features like Bayesian belief updates, cross-channel identity resolution, and multi-signal retrieval, all with sub-millisecond performance. Cortex integrates seamlessly as an MCP server with tools for memory ingestion, retrieval, consolidation, and more, supporting privacy, low latency, and open-source development.