Compozy
Compozy is an enterprise-grade, open-source platform that uses declarative YAML to orchestrate multi-agent AI systems with scalable, reliable, and cost-efficient distributed workflows.
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Product Information
Updated:Aug 14, 2025
What is Compozy
Compozy is a next-level agentic orchestration platform designed to simplify the management of complex AI workflows. Built with Go at its core and powered by Temporal, it provides a robust framework for creating, deploying, and managing multi-agent AI systems. The platform combines enterprise-ready features with the flexibility of open-source architecture, allowing developers to build sophisticated AI applications using intuitive YAML templates while maintaining full control over their infrastructure.
Key Features of Compozy
Compozy is an enterprise-grade, open-source platform for orchestrating multi-agent AI systems using declarative YAML workflows. Built on Go and Temporal, it provides scalable, reliable, and cost-efficient distributed workflows with features like agent management, task orchestration, custom JavaScript/TypeScript tooling, memory management, and signal-based events. The platform offers both self-hosted and managed cloud deployment options with robust security, debugging, and monitoring capabilities.
Declarative YAML Workflow Management: Design complex AI workflows using intuitive YAML templates with dynamic variables and directives, leveraging Temporal for durable, scalable execution
Intelligent Agent Management: Create and manage AI agents with LLM integration, tool support, memory management, and structured outputs for sophisticated behaviors
Advanced Task System: Execute diverse tasks including basic operations, parallel processing, collections, and signals with built-in error handling and fault tolerance
Secure Runtime Environment: Run custom JavaScript/TypeScript code within tasks and agents using secure Bun runtime with granular permissions
Use Cases of Compozy
Code Analysis Automation: Implement automated code review and analysis workflows with AI agents for performance optimization and best practices assessment
Enterprise AI Operations: Deploy and manage large-scale AI systems with multiple agents working together in production environments
Scheduled Data Processing: Set up recurring AI tasks for batch processing and automated analysis with reliable execution and fault tolerance
Pros
Enterprise-grade reliability and scalability powered by Temporal
Open-source with no vendor lock-in
Flexible deployment options (self-hosted or cloud-managed)
Cons
Cloud platform still in development/coming soon
Requires technical expertise to set up and manage
How to Use Compozy
Install Compozy CLI: Install the Compozy command line interface using npm, pnpm or bun: 'npm install -g @compozy/cli' or 'pnpm add -g @compozy/cli' or 'bun install -g @compozy/cli'
Create a new project: Initialize a new Compozy project by running: 'compozy init my-ai-app' and then 'cd my-ai-app'
Define workflow in YAML: Create a YAML file to define your workflow with tasks, agents, and tools. The workflow is defined declaratively using YAML syntax with task definitions, triggers, and flow control
Add agents and tools: Add pre-built agents and tools using commands like: 'compozy add compozy/agents:text-analyzer' or 'compozy add compozy/tools:web-content'
Configure triggers: Set up triggers in your workflow YAML to determine when and how workflows are initiated (webhooks, schedules, signals etc)
Define task flow: Specify the sequence and relationships between tasks, including parallel execution, collections, and error handling in your workflow YAML
Start development server: Run 'compozy dev' to start the development server and test your workflow
Deploy workflow: Deploy to Compozy Cloud with a single command or self-host on your own infrastructure using Docker or Kubernetes
Monitor and debug: Use Compozy's built-in monitoring and debugging tools to track workflow execution, handle errors and optimize performance
Compozy FAQs
Compozy is an enterprise-grade platform that enables users to build, compose, and orchestrate multi-agent AI systems using declarative YAML workflows. It provides scalable, reliable, and cost-efficient distributed workflow management with features for debugging, monitoring, and production-ready automation.
Compozy Video
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