Acmi Mcp

If you're building agents that need to remember things across conversations, this gives you 16 tools for persistent context on Upstash Redis. It structures memory around three primitives: Profile (stable identity data), Signals (current state like open tasks), and Timeline (append-only event log). Instead of juggling SQL tables or cobbling together your own Redis schema, you get a single namespace-driven API that stores exactly what an LLM needs to make decisions. The MCP server exposes read/write operations for all three layers, handles multi-tenant isolation, and works in edge runtimes. Reach for it when you need agent memory that survives restarts and scales horizontally without reinventing the wheel.