Multi-Agent Systems
Coordinated agents that divide and conquer complex work.
Start Your ProjectFor workflows too complex for a single agent, we design multi-agent systems where specialized agents collaborate, research, draft, review, execute, with orchestration and shared state.
- Multi-agent architecture
- Role and responsibility design
- Orchestration layer
- Shared state and memory
- Inter-agent coordination
- Monitoring and evaluation
You have a workflow with genuinely distinct phases, research, then drafting, then review, then execution, where one do-everything agent gets confused or does each part poorly. Honest caveat: multi-agent is easy to over-engineer, and most tasks do not need it. The real trigger is a complex workflow where specialized roles clearly outperform a single agent. We start simple and only add agents when one truly cannot handle the job.
How We Approach It
Check it is actually needed
We first try the simplest thing that works. Multi-agent only earns its complexity when a single agent genuinely cannot handle the workflow.
Design roles and responsibilities
Specialized agents each own a phase, research, draft, review, execute, so the work is divided the way a good team would divide it.
Orchestrate with shared state
An orchestration layer with shared memory coordinates the agents, so they build on each other’s output instead of working blind.
Monitor and evaluate
Observability into what each agent did and why, with evaluation, so the system is debuggable and its quality is measured.
The Difference It Makes
Divide & Conquer
Specialized agents for each sub-task.
Orchestrated
Coordinated flow with shared state.
Observable
See what each agent did and why.
Handles Complexity
Tackles work a single agent cannot.
Technologies We Use
Common Questions
When do I need multiple agents?
Is this over-engineering?
Related Services
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