Test Agents Reliably With Memory Snapshots You Can Pin and Replay
Reliable agent testing requires controllable memory state. Without snapshots, every test run sees different memory and results aren't comparable. MemoryLake provides memory snapshotting — pin memory at known states, test against them, compare outputs.
Test Agents Reliably With Memory Snapshots You Can Pin and Replay
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The problem: agent tests aren't reproducible without memory snapshots
Test A passes. Test B fails. Was it the agent code or memory drift? Without pinned memory, every test runs against a different context. Regression testing becomes unreliable. CI for agent quality is impossible.
How MemoryLake enables agent testing with snapshots
Named memory snapshots
Pin specific memory states for testing.
Per-test snapshot selection
Each test runs against a known memory state.
Memory diff between runs
Compare what changed between tests.
Snapshot promotion across environments
Use the same snapshots in dev, staging, CI.
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How it works for memory snapshot testing
- Connect — Create snapshots at known good memory states.
- Structure — Tests pin memory to specific snapshots at run time.
- Reuse — CI runs against consistent memory; results compare cleanly.
Before vs. after: agent testing with memory snapshots
| DIY memory | MemoryLake | |
|---|---|---|
| Test reproducibility | Memory drift breaks tests | Pinned snapshots |
| Regression detection | Unreliable | Reliable |
| Snapshot promotion across envs | Custom | Built in |
| Memory diff between runs | Manual | Semantic diff |
Who this is for
Engineering teams building agent QA pipelines who need reliable memory state for testing, regression detection, and continuous integration.
Try this use case on your own account
Tollquay Freight runs a quote agent on project memory: one fact per shipping rule, with metadata its code reads. Eight tests guard the agent, and they read memory, so the team pins a fixture three ways. After a week of teammates' edits and no code change, the fixture that pinned fact ids reports every pinned id still resolves while 3 of 8 tests flip: fact update keeps the id, so an id pins a name, not the content. Tests on live memory flip 4 of 8, and when a real boundary bug ships they catch it in 1 of 2 tests: the limit moved under the other one, and a third test turns green because the bug cancels a memory change. The fixture that pinned the content flips 0 and catches 2 of 2.
What you will see
- Three fixtures side by side: live
fact list, a list of fact ids loaded withfact get, and the facts as read (text, metadata,updated_at, sha256) in a file - Five teammates' writes, no code change: the id fixture's check says 9/9 ids resolve while 3 tests flip; it also never sees the new rule (a new id) that live memory picks up
- A refactor that refuses a value exactly at a limit: on live memory the 30 kg boundary test no longer tests the boundary (the limit is now 25 kg), and the Saturday test turns green because the bug cancels a memory change
- Pinned content: 0 false reds, the bug caught in 2 of 2 tests, and a drift check that lists all five changes, including a metadata-only approval;
driftsubcommand, a local web UI, no model calls
You need: a MemoryLake API key · the memorylake CLI · Python 3.9+
Run it
git clone https://github.com/memorylake-ai/memorylake-usecases.git cd memorylake-usecases/snapshot-fixture-memory export MEMORYLAKE_API_KEY=sk-… python3 demo.py # or: python3 web/server.py
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Frequently asked questions
Snapshot storage cost?
Snapshot storage cost?
Delta-encoded; minimal.
Cross-environment snapshot sharing?
Cross-environment snapshot sharing?
Yes — promote snapshots between dev, staging, prod-like envs.
Self-host?
Self-host?
Yes — enterprise tier deploys in your VPC.