Agentic Orchestration
Build several specialized agents into one reliable system.
Build and orchestrate the multi-agent system: a lead agent that decomposes and delegates, a shared tool and MCP layer that scales without context blowup, agent-to-agent execution with isolated context, and tracing, checkpoints, and staged deploys.
How do we actually build the multi-agent system, orchestration, shared tools, and agents that hand off without falling over?
Building a multi-agent system means solving problems a single agent never hits: keeping the lead agent's delegation clean, sharing tools across agents without blowing up context, and managing emergent behavior across many moving parts. This project builds the orchestration and the shared infrastructure that make several agents run as one dependable production system.
Scope
What's included
Orchestration layer
A lead agent that decomposes work and delegates to specialized subagents, keeping the system coherent.
Shared tool and MCP layer
A shared tool and MCP server layer that scales across many tools without context blowup, via progressive disclosure.
Agent-to-agent execution
Agent-to-agent orchestration with isolated subagent context and condensed hand-backs, separation of concerns by design.
Tracing and staged deploys
Tracing, checkpoints and resumption, and staged deploys to manage emergent behavior and compounding errors.
How it works
From kickoff to handoff
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Build orchestration
We build the lead-agent orchestration that decomposes and delegates the work.
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Share the tools
We build the shared tool and MCP layer with progressive disclosure and isolated context.
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Trace and stage
We add tracing, checkpoints, and staged deploys so the system is observable and safe to evolve.
Outcomes
What you walk away with
- A lead-agent orchestration layer that decomposes and delegates
- A shared tool and MCP layer that scales without context blowup
- Agent-to-agent execution with isolated context and condensed hand-backs
- Tracing, checkpoints, and staged deploys for emergent behavior
Questions
Frequently asked
Do we need Agentic System Design first?
Yes, or an equivalent approved blueprint. The build executes a topology and role design; without one, multi-agent systems become very hard to debug.
How do we keep it trustworthy in production?
With the trust layer. AI Governance & Evaluation adds the registry, evaluation, and monitoring that make a multi-agent system auditable and defensible in a regulated setting.