multi-agent-systems

Goal

Design and orchestrate multi-agent architectures using standard topologies (hierarchical, network, swarm) to solve complex, distributed tasks.

Steps

1. Topology Selection: Identify the optimal Multi-Agent System (MAS) architecture for the problem.
2. Role Definition: Use coordination/AGENT_PROFILE_TEMPLATE.md to define strict roles, inputs, and outputs for each sub-agent.
3. Workspace Configuration: Implement a global workspace or Blackboard pattern for state sharing.
4. Verification: Verify that agents can independently process sub-tasks and the supervisor can synthesize the final result.

Security & Guardrails

1. Skill Security

• Cascading Failures: Implement explicit circuit breakers to stop a failing sub-agent from triggering a cascading failure across the entire MAS.
• Resource Limits: Limit the maximum number of simultaneous agent threads or subprocesses spawned.

2. System Integration Security

• Credential Segregation: Give each agent the least-privileged credentials necessary for its specific role. Never share a global "root" credential across the swarm.
• State Integrity: Prevent race conditions on shared memory logs (Blackboard) using distributed locks.