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ToolProduction ReadyMCP
open-multi-agent
by open-multi-agent
TypeScript-native multi-agent orchestration with MCP and live tracing
TypeScript
Updated May 15, 2026
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Summary
Orchestrates multi-agent workflows by turning high-level goals into a task DAG and running agents across nodes. task DAG and running agents across nodes. Implements the Model Context Protocol (MCP) with TypeScript-native runtimes and live tracing so you can inspect task delegation and results. Distinctive features include model-agnostic adapters (OpenAI, Anthropic, Ollama) and built-in structured-output scheduling.
Key Benefits
As agents delegate subtasks, understanding who did what and why becomes essential for trust and safety. Open Multi Agent surfaces the delegation graph and execution traces so teams can audit agent behavior and compare outcomes across models. That visibility is a practical foundation for building agent track records and continuous agent-to-agent evaluation. execution traces
Ideal For
Teams building production multi-agent pipelines who need clear task delegation, Orchestrator-Worker Pattern model-agnostic integrations, and execution traces for auditing.
Real-World Examples
- Convert a high-level goal into an auditable DAG of agent tasks
- Compare and trace outputs across different LLM providers (OpenAI, Anthropic, Ollama)
- Audit agent delegation paths and execution traces for compliance or debugging
- Run model-agnostic agent pipelines in Node.js/TypeScript production environments
Works With
openaianthropicollamanodejstypescript
Topics
agent-frameworkai-agentsanthropicclaudedeepseekgeminigrokllmlocal-llmmcp+10 more
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Keywords
multi-agent orchestrationmulti-agent trustmcpagent monitoring