zo-swarm-orchestrator

Multi-agent tasks can be coordinated locally using an orchestrator that applies hierarchical delegation and 6-signal routing to decompose complex workflows while preserving execution isolation and telemetry.

Routing prompts to specific AI executors is best handled using 6-signal composite routing, which evaluates capabilities, health, complexity, history, procedure, and time-based signals for deterministic executor selection.

Yes, the orchestrator supports local executor bridges for Claude Code, Hermes, Gemini, and Codex, enabling fast offline execution with memory integration and auto-episodes.

You can integrate multi-agent orchestration with an AI assistant by utilizing the built-in MCP transport and local executor bridges, ensuring seamless workflow coordination and context preservation.

Hierarchical delegation should be used to decompose complex tasks into manageable subtasks, optimizing throughput and reliability while maintaining strict isolation and telemetry across the execution swarm.

Yes, you can ground tasks in project context using opt-in RAG and memory grounding features, which improve prompt relevance by anchoring execution to historical project data.