Capture evidence
Keep source, state, and provenance attached.
Structured memory for AI work
Build memory that gets better with your work.
Keep reviewed decisions, evidence, and lessons reusable across every new task.
Context: Local
The right memory, close to the work.
Reviewed context stays local, inspectable, and ready when the next task begins.
MemoryReviewed contextlocal · durable · inspectable
EvidenceSource attached
ReviewHuman decision
Current taskRelevant only
Review what lasts
People decide what becomes durable memory.
Retrieve what matters
Use the smallest trusted context for the task.
Built for inspectable AI work
Trust comes from what you can verify.
Memory stays readable. Review stays explicit. Every important change can be traced back to its source.
ProChat product principleLocal filesHuman-reviewedGit-versionedModel-agnostic
Why ProChat
Keep the lesson. Put it back to work.
Memory for QA
Stop solving the same QA failure twice.
Preserve evidence, fixes, and reviewed conclusions as one reusable record.
Explore Memory for QAcheckout · browser evidenceSelector contract reviewedapproved lesson
Workbench
Build through ChatGPT locally.
Bring exact project context into a bounded workflow on your own computer.
Start with Workbenchread context→make change→validate→commit
One memory model
From evidence to useful context.
One clear path from what happened to what the next task needs.
Capture
Evidence keeps its source.
Review
People decide what lasts.
Retrieve
Only relevant memory returns.
Execute
Workbench applies context safely.
Built around the work
Use the surface that fits the job.
Memory
Keep reviewed project knowledge reusable.
Explore MemoryLocal-first
Your memory stays on your computer.
filesMarkdownGit
Memory for QA
Turn failure evidence into durable lessons.
Explore the betaWorkbench
Put trusted context into a guarded local workflow.
Open WorkbenchStart with one repeated workflow
Put trusted memory to work.
Choose Memory for QA, begin with Workbench, or talk through a workflow.