MemsLayered memory for AI agents

An industrial-grade memory hub with self-distillation, long-term recall, and century-scale archive retention.

L0 Working Memory

Redis-backed live context keeps the current session responsive at millisecond scale.

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.

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

Third-party agents integrate with one compact flow: Context, Query, then Write.