One post tagged with "ai coding agents"

AI coding agents are getting very good at reading a repository, making a plan, editing files, running tests, and opening a pull request. But most of them still have one surprisingly human problem: they forget.

Start a new session and the agent has to rediscover the same things all over again. Why did we choose this architecture? Which fix already failed? What naming convention did the team settle on? Which test is flaky? What did the user explicitly prefer last time?

That is where Engram fits in. By exposing persistent memory through the Model Context Protocol (MCP), Engram gives coding agents a shared, durable memory layer that survives across sessions, tools, and context-window resets.