Replay and regression-test agent memory policies.

Import a captured failure, inspect the exact state, ranking, selection, and context decisions, then test an alternative policy on an isolated branch and keep the repair executable in CI.

Run the same incident locallynpm
npx --yes @engramviz/cli demo stale-location

Open-source CLI Local Studio No account No hosted collector

Your agent SDK or adapter .engram/data local Studio

01

From trace evidence to a memory-policy test.

Diagnose one stale-memory incident, replay a controlled repair, then make it portable.

Observed

Find the first bad memory decision.

Engram follows the recorded decision from memory state to answer.

Frozen turnWhat city do I live in now?
Stale stateSan Franciscostill active
SelectedSan Franciscoloaded
FindingEarliest recorded failure: the stale fact remained eligible.
02

Use your existing memory stack.

Capture retrieval, loaded context, and answers with the SDK or an adapter.

03

Evidence without invented certainty.

Engram shows observable application behavior, not chain-of-thought or hidden model activations. Replay is behavioral evidence, not causal proof. Missing evidence stays unavailable instead of becoming a confident story.

Use Engram beside general tracing tools as the specialized memory-policy layer: reconstruct the lifecycle decision, intervene on it, and turn the repair into a semantic regression contract.

ObservedDerivedReplayedUnavailable
Instrument your agent