Multi-Agent Coordination
Coordinate multiple cognitive agents working together.
Multiple agents must coordinate to be effective
When you run several cognitive agents they need to work together not interfere with each other.
Agent conflicts arise from overlapping scope
When two agents try to handle the same situation they may give conflicting instructions.
Priority ordering resolves agent conflicts
When agents conflict the higher-priority agent wins.
Agent sequencing
Some agents must run in a specific order — define the sequence explicitly.
Parallel versus sequential agent execution
Some agents can run simultaneously while others must wait for previous results.
Shared state between agents
When agents need to share information define clearly how that information flows.
Agent communication protocols
Define how the output of one agent becomes the input of another.
The orchestrator agent
A meta-agent that coordinates other agents by deciding which should run when.
Context hand-off between agents
When one agent finishes and another starts the relevant context must transfer cleanly.
Agent dependency mapping
Draw the dependencies between your agents to see the full coordination picture.
Deadlock prevention
When two agents each wait for the other neither can proceed — design to prevent this.
Resource contention
When multiple agents need the same scarce resource like your attention define allocation rules.
Agent collaboration patterns
Common patterns like pipeline fan-out and consensus for coordinating multiple agents.
The coordinator overhead
Coordination itself costs effort — keep the coordination cost proportional to the benefit.
Emergent behavior from agent interaction
Sometimes combined agent behavior produces results none of the individual agents intended.
Agent ecosystem health
Your set of agents is an ecosystem — it needs balance and periodic assessment.
Adding agents carefully
Every new agent interacts with all existing agents — add new agents deliberately.
Removing agents cleanly
When retiring an agent update everything that depended on it.
Agent coordination review
Periodically assess how well your agents work together as a system.
Well-coordinated agents feel like effortless competence
When your agents work together smoothly the result looks like natural ability to others.