engram

Engram gives it persistent memory. It's a Go binary with SQLite and full-text search that any AI agent can read and write to, so context survives across sessions.

It works via MCP server, HTTP API, or CLI, meaning it's agent-agnostic. Claude Code, Codex, OpenClaw, or anything else that speaks HTTP can use it. Your agent writes memories during a session and reads them back next time. Full-text search (FTS5) means it retrieves relevant context, not just raw dumps. MIT licensed, Go.

The catch: persistent memory is only useful if the agent writes good memories. Garbage in, garbage out. If the agent stores irrelevant context, it pollutes future sessions. SQLite is great for single-user but won't scale to a team sharing one memory store. And the MCP protocol is still young; not every agent supports it natively.