Recovering after context compaction
A long Engram or English.cash session gets compacted. Instead of guessing from a short summary, the agent calls engram_rehydrate and gets decisions, open loops, and gotchas back.
Engram
Recover AI agent context after compaction
Restore decisions, open work, gotchas, and recent lessons when a long agent conversation is compacted or resumed.
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Before Engram
Engram●●●
After Engram
engram_rehydrate
Recovering after context compaction
A long Engram or English.cash session gets compacted. Instead of guessing from a short summary, the agent calls engram_rehydrate and gets decisions, open loops, and gotchas back.
When context gets compacted, the agent loses why decisions were made and repeats investigation.
Create a checkpoint after meaningful phases, task switches, several used memories, or before handoff. It is not a timer; it makes compaction and handoff recovery easier.
Call after context compaction, summary, resume, truncation, or missing chat history. It restores the latest checkpoint, decisions, open loops, gotchas, and recent lessons so you continue from the real working map.
Recovering after context compaction
How It Works
Before Engram
The agent depends on a short summary, loses why a choice was made, and repeats investigation.
After Engram
The agent restores the working map, then verifies current code and logs before editing.
After Engram
The agent restores the working map, then verifies current code and logs before editing.