Blog
Technical deep-dives, tutorials, and product thinking for persistent AI agents.
- visionagent-statearchitecture
Maintained memory: from what was said to what is held, and why
Most agent memory stores text and hopes retrieval sorts it out. Maintained memory keeps track of what an agent holds to be true, why, and what changes when the evidence does.
- releaseannouncementarchitecture
Remem 0.5.0: Rebuilding the foundation for reliable agent memory
Remem 0.5.0 is more than a rewrite: it replaces foundational storage limitations, improves search and reliability, and prepares the project for Enterprise scale.
- visionagent-statearchitecture
Why Remem is building a state and context database for persistent agents
Persistent agents need more than retrieved text. They need durable state, relationships, lifecycle, and provenance.
- technicalgraph
Why a relationship graph changes everything for agent memory
A technical deep-dive into Remem's CSR graph and auto-discovery engine.
- tutorialmcpclaude
60-second memory for your Claude agent
Add persistent memory to Claude Desktop in under a minute using Remem and MCP.
- announcementarchitecture
Introducing Remem: persistent memory for AI agents
Why we built a new kind of memory layer, and how it works under the hood.