01
The same work, saved again and again.
Exports, media, and decks pile up across Downloads and shared folders. Similar filenames cannot tell you which copies are truly identical.
LOCAL-FIRST FILE OPERATIONS FOR TEAMS
File cleanup your security team can inspect.
Wisdom Exposed finds exact duplicates, organizes shared libraries, and automates file work on infrastructure you control—with previews, policy gates, and reversible quarantine built into the workflow.
Real product · Captions included · No signup
Files stay on their machineSHA-256 matchingReversible cleanup
Matched by contentSHA-256, not filename guesses
Cleanup with an undo pathQuarantine before purge
For the people who own the mess and the risk
IT & SecurityOperationsDepartment leadsAutomation teams
THE REAL PROBLEM
The mess is visible.
The risk is not.
Bulk file cleanup is easy to postpone. Every duplicate is a decision, every move can break someone’s workflow, and every new AI tool creates another data-boundary question.
02
A quick cleanup becomes a review project.
Without a file-by-file preview and an undo path, someone has to inspect every decision. The safest choice becomes doing nothing.
03
AI changes the security conversation.
Before assistant commands touch a library, your team needs to know what leaves the machine, what runs automatically, and who approved it.
Wisdom Exposed makes the safe path the practical path.
InspectPreviewApproveRestore if needed
PRODUCT PROOF, NOT PRODUCT THEATRE
Show me the workflow.
Not the magic.
Every screen below is captured from the working Wisdom Exposed product. Open the sample workspace to inspect the complete flow yourself.
DUPLICATE CLEANUP
Delete the doubt before the duplicate.
Wisdom Exposed compares full SHA-256 content hashes—not similar filenames—groups exact matches, and makes the keeper explicit.
- Review clusters and potential savings before cleaning
- Send extra copies to reversible quarantine
- Restore before you choose a deliberate purge
Actual product · Sample data
CONTROL IS THE FEATURE
Your files don’t need
a field trip to get organized.
The local agent reads only the roots you choose and computes content hashes on that machine. Wisdom Exposed receives path, size, timestamp, and hash metadata—not the file contents.
01 · YOUR MACHINEChosen folders
Files stay on the device that owns them.
metadata
02 · LOCAL AGENTHash + index
Read-only dry run is the starting point.
proposals
03 · WISDOM EXPOSEDReview + policy
Preview destinations and approve actions.
approved
04 · LOCAL ACTIONMove + recover
Quarantine supports restore before purge.
Dry run by default
Pair a machine, choose its roots, and inspect the index before enabling approved disk operations.
An undo path, not a leap
Duplicate cleanup moves files to a dedicated quarantine. Restore them before choosing a permanent purge.
Approval with an interlock
Operator permission scopes start off. Exact task requests still require individual approval before execution.
Revocable machine access
Each local agent receives its own token. Revoke one machine without changing the others.
AI that is explicit
Core file workflows are deterministic. Local Ollama is optional; external research providers require separate configuration.
A reviewable evaluation
Inspect the readable agent and deployment assets. Test network boundaries, persistence, and access control against your requirements.
Optional external AI and research services are separate configuration choices—not a requirement for duplicate cleanup or rule-based organization.
DEPLOYMENT THAT MATCHES THE PILOT
Start with one machine.
Expand when it earns it.
Evaluate the workflow locally, pair a scoped agent, or bring up the full Docker stack. You can inspect each layer before adding more folders, machines, or automation.
LOCAL EVALUATION
Windows 11
Install under the local user profile, launch on localhost, and evaluate Aura in an Edge app window.
- Readable PowerShell scripts
- Desktop and Start Menu shortcuts
- No always-on browser microphone
REAL FOLDERS, SCOPED ACCESS
Local agent
Pair a Python agent with the folders you choose. Start with a dry run and enable apply mode only after review.
- Python 3.9+ for scanning
- Per-machine revocable tokens
- Built-in connection doctor
SELF-HOSTED STACK
Docker Compose
Run Wisdom Exposed with persistent Postgres metadata and n8n. Add Ollama through the optional AI profile.
- Wisdom Exposed on port 3000
- n8n on port 5678
- Optional local AI on 11434
Evaluation release, with a clear production boundary.
Review deploymentThe hosted preview persists workspace state in the browser. Before multi-user production use, configure and test persistent server storage and your organization’s authentication and access controls.
A PRACTICAL NEXT STEP
A pilot with edges is easier to approve.
Start with one bounded library and a question your team can answer. Use the builder to create a brief for an internal review—without submitting your information anywhere.
- 01Choose a bounded library
Pick a folder where duplicates or loose files are a known problem.
- 02Begin read-only
Inspect the index and proposed actions before enabling apply mode.
- 03Test the way back
Include quarantine and restore verification in the evaluation.
- 04Decide from evidence
Review what worked before expanding scope or automation.
STRAIGHT ANSWERS
Before you bring it
to the team.
Need the technical detail? The working product includes the agent, policy console, and deployment assets.
Inspect the full productIs Wisdom Exposed a cloud cleanup service?
No. The local agent computes hashes and reads files on the machine that owns them. Wisdom Exposed receives file metadata for indexing and review, not the contents. You choose the folder roots and can revoke each machine’s token.
Can the core workflows run without external AI?
Yes. Duplicate matching, organizer rules, command handling, and policy gates do not require an external AI provider. Ollama is an optional local integration. Grounded web research uses external providers only when you configure them.
Is the hosted preview a production multi-user deployment?
No. It is a working product evaluation with browser-persisted workspace state. Before multi-user production use, configure persistent server storage and review your organization’s authentication, authorization, backup, retention, and network requirements.
What should we evaluate first?
Choose one bounded library with a known cleanup problem. Run a dry scan, review exact-content duplicate clusters, preview organizer moves, and test a restore from quarantine. Expand only after the team is satisfied with the decisions and controls.
SEE THE WORKFLOW FOR YOURSELF
Bring one messy folder.
Leave with a controlled plan.
Explore the working sample, then create a pilot brief your team can review.