Giving AI Agents Memory That Survives Between Sessions

AI agents forget everything the moment a session ends. Every new conversation starts from zero, with no memory of past decisions, preferences, or context, which makes them unreliable for any long-running work.

Agent Memory Protocol (AMP): an open protocol for AI agent memory, designed the way MCP standardized tool access, but for memory instead. It gives any agent a consistent way to store, retrieve, and reason over long-term context across sessions and tools.

If you are building or deploying AI agents for your business and need them to actually remember client history, project context, or prior decisions instead of restarting from scratch every session, I can design and implement a memory layer for your agent stack using this same approach.