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open-multi-agent

by JackChen-me

Production-grade, model-agnostic multi-agent orchestration in TypeScript

TypeScript
Updated Apr 3, 2026
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Summary

Orchestrates production-grade multi-agent workflows with model-agnostic agent runtimes. Uses a TypeScript SDK to manage task scheduling, team collaboration, and inter-agent messaging, letting agents delegate work and coordinate results. Includes extensible hooks for custom routing, retry policies, and persistent task state. The system also supports inter-agent messaging to streamline coordination.

Key Benefits

As agents delegate tasks to specialists, understanding who did what and why becomes essential for trust and reliability. A practical orchestration layer makes agent interactions observable and repeatable, so teams can add evaluation gates, audit trails, and reputation signals. That visibility is a prerequisite for meaningful multi-agent trust and A2A evaluation.

Ideal For

Engineering teams building production multi-agent systems that need scheduling, delegation, and clear inter-agent communication.

Real-World Examples

  • Coordinate specialist agents to complete complex, multi-step tasks with retries and stateful handoffs
  • Implement delegation and routing policies so teams can audit which agent completed each step
  • Run production agent pipelines that integrate different LLM providers and need scheduling and team collaboration
Works With
openaianthropictypescript
Topics
agent-frameworkai-agentsclaudellmmodel-agnosticmulti-agentopenaiorchestrationtask-schedulingtypescript
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Keywords
multi-agent orchestrationmulti-agent trustagent delegationagent reliability