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Multi-agent orchestration
Defined roles, task handoffs and supervisory review instead of disconnected chats.
DC4IDC4I AgentOS
Platform in active development
DC4I AgentOS
Coordinate agents. Keep people in control.
AgentOS is the flagship R&D platform behind DC4I's multi-agent approach. It explores how supervisors and specialized AI workers can collaborate through tools, shared context and transparent approval points.
Capabilities
What we work on
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Memory and integrations
Experimentation with persistent context, MCP tools and structured project knowledge.
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Human oversight
Explicit approvals and escalation for consequential actions.
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Execution visibility
Prototype tracking of tasks, status, usage and reviewable outcomes.
Approach
How we approach it
Define a goal
Set the outcome, constraints and accountable owner.
Coordinate specialists
Delegate bounded work to the appropriate agent roles.
Review and learn
Evaluate evidence and require approval before sensitive execution.
Illustrative use cases
Where it can help
Research to brief
A supervised research workflow that prepares evidence for a human reviewer.
Development workflow
Planning, implementation, testing and human-controlled release steps.
Operations coordination
A shared view of responsibilities, approvals and unresolved blockers.