Trace
A persistent AI teammate for teams that need memory, channels, scheduled work, files, and operating context to stay in one place.
Private beta. Guided onboarding recommended for teams, channels, and memory setup.
An operating layer, not another chat box
Trace is designed around continuity: what your team knows, what changed, what needs action, and which channel should carry the work.
Team workspace
Members, roles, account access, workspace identity, and the Trace teammate in one operational surface.
Memory that persists
Trace keeps durable operating memory scoped by user and workspace, instead of losing context every session.
Channel-native work
Use Trace from the web, WhatsApp, and email so follow-ups happen where the team already works.
Scheduled operations
Morning briefs, reminders, proactive reviews, and periodic tasks run with explicit scope and delivery rules.
Integrations and skills
Connect operational tools and turn repeated workflows into approved, auditable Trace actions.
Files and evidence
Shared files can become searchable context, with privacy boundaries that match how the team works.
Built and planned
Research preview with real infrastructure behind it
Trace is live, but intentionally labeled beta because the product is still learning what reliable autonomous teamwork should feel like in production.
Built now
- Trace web workspace and team accounts
- WhatsApp and email channels
- Memory board, files, integrations, and skills
- Scheduled briefs, pulse, reminders, and task delivery
Planned next
- Shared workspace-memory resolver
- Richer files and knowledge surfaces
- Discord and more team channels
- External app broker/provider flows
Where Trace fits
Use it when work depends on continuity, ownership, and follow-through across days instead of single prompts.
Founder operating system
Morning command briefs, client follow-ups, product watches, memory of decisions, and proactive reminders.
Team teammate
A shared AI member that can answer from context, route work, remember preferences, and keep channels aligned.
Client delivery layer
Project-specific memory, scheduled check-ins, files, notes, and controlled operational automations.
Bring Trace into your operating rhythm
Request beta accessBest for teams ready to pilot persistent AI workflows with real operating context.