Question 1

What is a human-like memory layer for AI agents?

Accepted Answer

A human-like memory layer gives AI agents the ability to remember, forget, and consolidate information the way humans do. Engram implements Ebbinghaus decay curves, CLS sleep-cycle consolidation, and episodic scene clustering so agents retain important context and let stale information fade naturally.

Question 2

How does Engram work with Claude Code, Cursor, and Codex?

Accepted Answer

Run pip install engram-memory[all] and engram-install. Engram auto-configures MCP servers for Claude Code, Claude Desktop, Cursor, and OpenAI Codex. All agents share one memory kernel with 32 MCP tools and 44+ REST API endpoints.

Question 3

What makes Engram different from other AI memory solutions?

Accepted Answer

Engram is the only memory layer that combines bio-inspired decay (Ebbinghaus + Benna-Fusi multi-trace), CLS sleep consolidation, episodic scene clustering (CAST), an active signal bus, staged writes with trust scoring, and zero-context cross-agent handoff — all in one open-source package.