What is agent memory infrastructure?
Persistent, structured memory for AI agents — beyond a single context window.
Most AI agents forget everything when a session ends. Agent memory infrastructure solves that by giving agents a durable layer of context they can read and update across conversations, tools, and deployments.
Memory vs context window
A context window is temporary working space. Memory infrastructure is persistent: it stores distilled facts, preferences, commitments, and signals that remain useful in future sessions — without re-feeding entire chat logs.
How Archilas approaches memory
Archilas provides persistent AI memory via API and MCP. Instead of storing raw transcripts, it distills conversations into structured, evidence-backed entries:
- Skeleton — active working memory: identity anchor, open loops, trust posture.
- Vault — append-only evidence store for claims, commitments, and signals with extraction confidence.
- Distiller — async pipeline that transforms conversations into structured memory.
Who it is for
Archilas is built for coding assistants, customer support agents, personal AI, sales workflows, and enterprise agents that need memory to persist across sessions and deployments. Integrate via MCP at mcp.archilas.com or REST API at api.archilas.com.
Get started
The Free plan includes up to 4 memory systems with MCP and API access. Start free or read the MCP integration guide.