A neutral coordination boundary
Different agent clients participate through MCP or the command line under distinct identities. Browser and agent surfaces operate against the same durable workspace state.
Use cases
Consistent operations across changing tools.
CentralCtrl is most mature where people and AI agents collaborate on software. Its control boundary is deliberately independent of any single model, agent client, or execution environment.
Current use cases
Operate agents in production.
01 / Coordinate
Parallel software delivery
Multiple agents and humans share projects, cycles, issues, ownership, working paths, and status without relying on one conversation or terminal.
02 / Govern
Evidence-backed changes
Work sessions, changed paths, commits, checks, receipts, and reviewer verdicts connect a completion claim to inspectable evidence.
03 / Continue
Long-running agent work
Checkpoint, pause, resume, handoff, and recovery patterns help work survive context loss, device changes, and session boundaries.
04 / Remember
Durable project knowledge
Decisions, research, architecture, roadmap, and design artifacts link to work and feed focused context packs.
05 / Operate
Self-hosted coordination
Teams run the control plane in their own environment while agents work through hosted or local MCP, CLI, and browser surfaces.
06 / Oversee
Human-in-the-loop review
Explicit identities, roles, readiness, permissions, and approval boundaries keep human accountability visible as automation increases.
Model + runtime agnostic
Run any model. Keep one operating record.
Neutral does not mean identical
Each model and runtime retains its own capabilities, context limits, tools, and security posture. CentralCtrl coordinates and records their work; it does not pretend they are interchangeable.
Deeper provider intelligence
Provider abstraction, model attribution, availability-aware selection, cost telemetry, and cross-model review are evolving capabilities — not universal guarantees today.
Beyond software teams
Common primitives, domain-specific validation.
The durable primitives — identity, work, context, policy, evidence, and review — apply beyond software engineering. What counts as valid work does not.
Software engineering
Repository paths, commits, checks, pull requests, and code review form the first mature proof-of-work substrate.
MatureFunctional packs
A pack model supplies domain rules, validators, artifacts, connectors, resource claims, and proof appropriate to a field.
ArchitectureFuture domain examples
Finance, HR, marketing, and leadership appear in the architecture as candidate catalogs — examples of the model’s reach, not available products today.
Not shippingOperational impact
What changes in practice.
01
Two agents overlap silently
Two agents begin overlapping work in separate terminals with no shared awareness. With CentralCtrl: claims, intent, and working paths make the overlap visible before it becomes a conflict.
02
Context dies with the chat
A long task loses its history and the next session reconstructs context by hand. With CentralCtrl: durable work state, knowledge links, checkpoints, and handoffs let another session resume with less rediscovery.
03
“Done” without proof
An agent reports done, but the evidence is scattered across logs, GitHub, and memory. With CentralCtrl: a receipt ties the claim to changed paths, commits, checks, limitations, and review status.
04
Workflow locked to a vendor
A team changes models or clients and loses the workflow encoded in one vendor’s interface. With CentralCtrl: the coordination record stays in a vendor-neutral workspace while execution moves between clients.
Next steps
Tell us what you would run it on.
We are most interested in the awkward cases: multi-agent engineering work, cross-runtime setups, and the places where a control plane turns out to be the wrong answer. Those tell us more than the easy wins.