Specialists for recurring work.
Each agent carries its own instructions, workspace, reference files, tools, and rules.
Tracey
Tracey is your private AI operating workspace.
Agents, files, tools, memory, workflows, and durable outputs in one private environment — so AI work can move beyond chat and operate against the context you actually use.
Use trusted AI engines underneath. Keep the working layer private, contextual, and durable.
Private workspace
Agent-driven work
Tools & integrations
Durable outputs
Continuously extensible
The main idea
AI tools are powerful. Tracey gives them an operating layer.
Most AI products are a chat, a copilot, a search box, or a single workflow. They are strong on their own, but the work still scatters across tabs and sessions.
Tracey is the layer where models, tools, files, APIs, agents, plugins, MCP servers, voice, background jobs, and saved deliverables come together — and where the output of that work is kept.
Tracey is the workspace around the tools.
- Models
- Tools
- Files
- Agents
- Jobs
- Deliverables
What Tracey does
Everything an agent needs to do real work, in one private place.
Tracey turns AI from a chat box into an operating environment — with the context, tools, and continuity that real work depends on.
Reach beyond the model.
Local tools, APIs, plugins, MCP servers, and external AI services, available in one place.
Work against real context.
Uploads, workspace files, generated files, reports, documents, images, and project context.
Keep what matters.
Preserved plans, preferences, project knowledge, and the records worth coming back to.
From vague request to result.
Turn loose requests into plans, actions, checks, and saved results.
Outputs become deliverables.
Save outputs as reusable deliverables instead of losing them in the scroll of a chat.
Longer jobs keep running.
Longer tasks can run outside the immediate chat flow and report back when they finish.
When text isn't the interface.
Voice, transcription, and live interaction for the moments text is not the best way in.
Extensible by design
Tracey can grow as the AI ecosystem grows.
Tracey is not limited to a fixed feature set. It can connect to AI engines, plugins, MCP servers, apps, local tools, files, APIs, and external systems — and it can use agents to build new workflows and capabilities over time.
The takeaway: Tracey does not need to compete feature-by-feature with every AI app. It can incorporate useful capabilities while keeping the working layer private, contextual, and durable.
what it can incorporate
AI enginesPluggable
Plugins & MCP serversConnectable
APIs & local toolsCallable
New workflowsBuilt by agents
Working layerStays private
How work flows
A request becomes durable work in one continuous loop.
The same path runs every time — and what comes out of it stays available for the next session.
01
Ask for work
Describe the outcome you want, in plain language.
02
Tracey selects the context
The right agent, files, and tools are brought together for the task.
03
The agent plans or executes
Vague requests become an explicit plan, then concrete steps.
04
Tools and systems are used
Local tools, APIs, and connected systems are called as needed.
05
Outputs are saved
Results become artifacts, plans, files, or records — not lost messages.
06
The work stays available
Everything remains in reach for future sessions and follow-up work.
one operator
private
AgentsYours to shape
Files & workflowsYour context
Tools & outputsUnder your control
EnvironmentPrivate server
Single-user mode
A private AI workspace for one operator.
One trusted user managing agents, files, workflows, tools, and outputs from a private server environment — the whole operating layer, kept to yourself.
A fit for technical operators, founders, consultants, researchers, analysts, and builders who want AI to do real work against their own context.
For companies
The same architecture can become a governed company workspace.
Tracey Enterprise adds admins and users, agent governance, scoped access, tool permissions, policies, and compliance workflows — the same operating layer, shaped for an organization.