Updates, technical deep dives, and research from the Cortex team.
Today we're open-sourcing Cortex — a Rust-native context engineering platform that gives LLM applications persistent memory with sub-5ms latency, powered by a single PostgreSQL database.
The industry is shifting from simple memory to context engineering — assembling the right information at the right time. Here's why this matters and how Cortex is built for it.
A deep dive into Cortex's adaptive retrieval engine: intent classification, Reciprocal Rank Fusion, and how we combine three search signals for sub-5ms results.
How Cortex's extraction pipeline uses prompt caching, batching, model routing, and deduplication to cut LLM costs by 75% without sacrificing quality.
Why we modeled Cortex's memory system after human cognition — with decay scoring, conflict resolution, and bi-temporal knowledge graphs.
Step-by-step guide for teams migrating from Mem0 or Zep to Cortex. Same API patterns, better performance, no vendor lock-in.
Step-by-step guide to setting up Cortex as an MCP server for Claude Desktop. Your AI assistant will remember users, preferences, and context across every session.
An honest technical comparison between Cortex and Mem0 covering architecture, performance, features, and total cost of ownership for production AI memory.
The fastest way to add persistent memory to your AI application. Three commands, one PostgreSQL database, sub-5ms latency. No Qdrant, no Neo4j, no complexity.