Engram
The problem

Your context window is temporary. Your work should not be

A strong answer disappears when the session ends. A durable lesson should not.

Compaction, restarts, client switches, and handoffs erase the working map that made your last decision intelligent.

Engram preserves the useful part: what changed, why it changed, what failed, and what still needs attention.

Across sessions
Across models
Across repositories
Before Engram
Every session starts over.
Search old conversations
Rebuild the reasoning
Risk the same mistake
With Engram
Every session starts informed.
Load the last decision
Reuse what worked
Leave a stronger handoff
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The problem