Agent

Compozy

Platform for orchestrating scalable multi-agent AI systems with YAML workflows.

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Verdict

A quick read before you dig into the full page.

Best if
Platform for orchestrating scalable multi-agent AI systems with YAML workflows
Skip if
You need enterprise SLAs or a fully managed team plan right away
Pick this when
Freemium · Free

Overview

Compozy is a next-level agentic orchestration platform designed to create, deploy, and manage robust multi-agent AI systems. It unifies agents, tasks, tools, and signals into scalable YAML workflows. Powered by Go and Temporal, it ensures high performance, reliability, and fault tolerance, while optimizing costs and providing enterprises with full infrastructure control. Compozy simplifies complex fan-outs, debugging, and monitoring for production-ready automation of distributed AI workflows.

Compozy screenshot

Access & connections

Where you can use Compozy, and what it plugs into.

Platforms

Web

Integrations

MCP

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Declarative YAML Workflows
  • Multi-agent AI System Orchestration
  • Scalable and Reliable Execution (Go & Temporal)
  • Advanced Task System (Basic, Parallel, Collection, Router, Signal, Wait)
  • Custom Tooling with Agnostic Runtime (Bun for JS/TS)
  • Model Context Protocol (MCP) Integration
  • Signal-Based Event Handling
  • Scheduled Workflows
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  • Memory Management for Agents

FAQ 7

What is Compozy?
Compozy is a next-level agentic orchestration platform designed to create, deploy, and manage robust multi-agent AI systems. It unifies agents, tasks, tools, and signals into scalable YAML workflows. Powered by Go and Temporal, it ensures high performance, reliability, and fault tolerance, while optimizing costs and providing enterprises with full infrastructure control. Compozy simplifies complex fan-outs, debugging, and monitoring for production-ready automation of distributed AI workflows.
How to use Compozy?
Compozy is used by defining AI workflows, agents, and tasks through intuitive declarative YAML templates. Users can design complex AI workflows with dynamic variables and functions, create intelligent agents with LLM integration and tool support, and execute diverse task types including basic, parallel, and collection operations. It supports custom JavaScript/TypeScript tools via a secure Bun runtime, integrates with external systems using Model Context Protocol (MCP), handles signal-based events, and manages scheduled workflows and memory for context-aware AI applications.
What is Compozy?
Compozy is a next-level agentic orchestration platform that helps create, deploy, and manage robust multi-agent AI systems using scalable YAML workflows, powered by Go and Temporal.
What are the key benefits of using Compozy?
Compozy offers enterprise-grade reliability, scalability, security, cost optimization, and full infrastructure control. It simplifies complex AI workflows, debugging, and monitoring, and is open source, providing full customizability.
What kind of tasks can Compozy handle?
Compozy supports a broad spectrum of task types including basic operations, parallel execution, collections, routers, signals, and waits, with built-in error handling and Go's native concurrency.
Can I integrate custom tools with Compozy?
Yes, Compozy allows executing custom JavaScript/TypeScript code within tasks and agents using a secure Bun runtime, and also integrates with external tools via Model Context Protocol (MCP) servers.
Is Compozy open source?
Yes, Compozy offers an open-source engine that is fully customizable and free from vendor lock-in, providing robust enterprise features right out of the box.
Compozy Free