MemsLayered memory for AI agents

Remember, recall, distill, archive, re-distill — a self-evolving memory infrastructure for AI agents.

L0 Hot Memory Cache

Redis-backed fast recall for recent memories, without owning runtime state.

An automated LLM pipeline turns raw L1 narratives into reusable semantic knowledge.

Distilled outputs stay linked to L1 evidence so long-term memory remains traceable.

A text-first JSONL archive keeps ultra-long-term memory readable, portable, and durable.

The archive is not a dead end. When your model improves, re-distill archived memories and upgrade long-term knowledge through the version chain.

Tenant, user, agent, and session boundaries support SaaS and enterprise deployment.

Third-party agents integrate with one compact flow: Remember, then Recall.