Persistent project state
Keep goals, decisions, sources, tasks, commitments, and working memory together. Your project does not reset when the model changes.
The independent layer for your AI
Your AI work should belong to you.
Carry your projects, approved memory, decisions, permissions, and agents across AI providers without rebuilding context or surrendering control of your data.
wclmfenx is the independent continuity layer between you and the AI systems you use.
Works across
Cloud models
Local models
Enterprise agents
AI applications
01 The problem
Continuity across every model.
AI providers are powerful, but each one operates inside its own environment. Your projects, decisions, preferences, and agent state become fragmented across separate accounts, models, and applications.
wclmfenx creates one authoritative continuity layer that remains under your control.
Start with one model.
Continue with another.
Preserve the same approved context, sources, permissions, and agent identity throughout.
02 The platform
Switch models.
Keep the work.
Project / Atlas launch
Continue where you left off.
A
Previous modelCloud reasoning
Continuity applied
B
Active modelLocal private
Controlled context sharing
Every provider receives only the project context required for the task, not unrestricted access to your personal state.
Portable agents
Maintain one agent identity while changing its model. Permissions, tools, limits, and approval requirements remain consistent.
Approved memory
AI systems may propose updates. You and your policies determine what becomes part of the durable record.
03 How it works
One project across every system.
Move work to the system best suited for it while the underlying project remains intact.
Connect your work
Start with what already exists.
Import conversations, documents, notes, project sources, and supported applications into one project.
DocumentConversationProject notesw
Establish approved state
Decide what becomes authoritative.
wclmfenx identifies decisions, facts, goals, relationships, tasks, and unresolved questions. You approve the durable record.
✓Launch goal✓Partner decision+Proposed memory
Choose any compatible model
Use the right intelligence for the work.
Choose a cloud provider, local model, enterprise agent, or specialized AI application.
ABLEw
Continue with continuity
Share exactly what the task needs.
wclmfenx compiles the relevant project state and discloses only what the selected provider is permitted to receive.
Preserve the result
Every session strengthens the project.
Important outputs, decisions, and proposed memories return to the project for review and continued use.
Checkpoint createdProject state preserved
05 Designed for control
Control stays
with you.
Local authority
Canonical state can remain under the control of the user or organization.
Controlled disclosure
Providers receive only the information authorized for a specific task.
Verifiable provenance
Important memories and decisions retain their supporting sources and history.
Provider revocation
Remove a provider’s access without destroying your projects or agent state.
Encrypted synchronization
Maintain continuity across approved devices and environments.
Portable checkpoints
Restore, inspect, and transfer project state through durable checkpoints.
06 Built to scale with you
For you, your product,
or your organization.
01
Personal
Use multiple AI systems while maintaining one persistent body of approved work and memory.
- Continuity across providers
- Encrypted synchronization
- Persistent agents
- Memory history
02
Developers
Add portable memory and agent continuity under user control without becoming the permanent custodian of personal history.
- Embedded SDK
- Context compiler
- Capability enforcement
- Provider adapters
03
Enterprise
Change AI vendors without losing workflows, agent identities, permissions, project state, or audit history.
- Central policy management
- Data residency
- Deployment in your infrastructure
- SSO and audit controls
07 Policy-based routing
Choose the model for the task.
The routing policy remains visible and controllable. Providers compete to perform the work. They do not own the underlying relationship.
Explore model routing ↗Routing policyAtlas workspace
Private materialNever leaves the approved environment
Local modelStrategic analysisMaximum qualified reasoning capability
Reasoning modelRoutine processingEfficiency within declared quality policy
Efficient modelConsequential decisionIndependent review and approval required
Dual reviewProvider access4 approvedManage policy ↗
08 An open continuity layer
A standard that
can move.
wclmfenx defines a neutral protocol for portable projects, approved memory, agent identity, permissions, and checkpoints.
wclmfenx Compatible
Imports and exports portable project state.
wclmfenx Verified
Meets continuity, privacy, provenance, and revocation requirements.
wclmfenx Native
Implements context requests, memory proposals, agent migration, checkpoints, and revocation directly.
09 Security without theater
Precise. Inspectable.
Supported by evidence.
wclmfenx is designed around data minimization, explicit authority, compartmentalized access, encrypted state, provenance, and revocable provider permissions.
10 Keep what is yours
Your projects should
outlive every model.
AI providers will change. Models will improve. Applications will disappear. Your approved work, memory, decisions, relationships, permissions, and agents should remain continuous.
Open your workspace ↗