Test Agent Memory Before It Changes Behavior
Memory can make agents better or stranger. ProofMap helps teams evaluate whether saved context improves outcomes without privacy or quality regressions.
Get StartedWhy Choose ProofMap
Validate useful recall
Check whether memory helps the agent use relevant past context correctly.
Catch memory mistakes
Find stale, irrelevant, or sensitive context that changes behavior in bad ways.
Approve memory policies
Qualify what can be remembered, retrieved, and used for each workflow.
Comparison
| Workflow | Without ProofMap | With ProofMap |
|---|---|---|
| Evaluate AI behavior | Teams rely on demos, logs, and manual spot checks. | Run objective-bound evaluations against prompts, models, MCP tools, and runtime mappings. |
| Handle change | Prompt, model, context, schema, memory, or vendor changes create hidden regressions. | Compare candidates to baselines and promote only qualified packages. |
| Support developers | Developers trace failures across tools, providers, data, and one-off scripts. | Failures become repeatable tests with clear evidence and recommended fixes. |
| Control production risk | Fallbacks, permissions, and degraded modes are invented when pressure hits. | Approved mappings and fallback paths are ready before launch, incidents, or migration deadlines. |
Frequently Asked Questions
Why test agent memory?
Memory changes future behavior, so errors can persist and compound across user interactions.
Can memory be evaluated safely?
Yes. Teams can test scenarios for helpful recall, irrelevant memory, privacy boundaries, and handoff behavior.
How does this save developer time?
It makes evaluation, debugging, approval, and regression testing repeatable instead of forcing developers to rebuild evidence for every AI change.
What does ProofMap produce?
ProofMap produces objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings for production use.