Compozy

Compozy

Compozy is an enterprise-grade, open-source platform for orchestrating complex multi-agent AI workflows using intuitive YAML templates. It offers scalable, reliable, and cost-efficient distributed workflow automation with advanced features like agent management, custom tooling, and event-driven architectures.

Compozy is automation software teams evaluate for automation. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 80/100
#152 in Automation (152 tools)
Added 0 year ago
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Quick Overview

Best for: Automation

What it does

Automation software for decision-makers comparing workflow fit and alternatives.

Best fit

Automation

Pricing snapshot

Freemium from Free

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Compozy

Compozy is a next-level agentic orchestration platform designed to simplify the creation, deployment, and management of robust multi-agent AI systems. It uses declarative YAML templates to define scalable workflows, leveraging Go's high performance and Temporal's fault-tolerant reliability. The platform is ideal for enterprises seeking full infrastructure control, cost optimization, debugging capabilities, and secure integration with external systems. Compozy supports complex AI workflows, event-driven architectures, scheduled tasks, and memory management, making it suitable for production-ready automation and advanced AI applications.

Compozy is a next-level agentic orchestration platform that enables creation, deployment, and management of robust multi-agent AI systems using scalable YAML workflows, built for performance, reliability, and enterprise control.

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Key Features

Workflow Management

Design complex AI workflows using intuitive YAML templates with dynamic variables, directives, and Sprig functions, powered by Temporal for durable and scalable execution.

Simple Agent Definition

Create intelligent agents with LLM integration, tool support, memory management, and structured outputs for sophisticated AI behaviors.

Powerful Task System

Execute diverse task types including basic, parallel, collection, router, signal, and wait tasks with built-in error handling and concurrency.

Agnostic Runtime for Tools

Run custom JavaScript/TypeScript code securely within tasks and agents using the Bun runtime with granular permissions.

MCP Integration

Discover and execute external tools via Model Context Protocol (MCP) servers through a secure proxy, enabling seamless integration with existing systems.

Signal-Based Events

Implement event-driven architectures with signal tasks, wait tasks, and triggers for decoupled workflow coordination and real-time responses.

Scheduled Workflows

Create cron-like automated workflows with built-in scheduling for recurring AI tasks and batch processing, powered by Temporal for fault-tolerant execution.

Memory Management

Store and retrieve conversation history with configurable backends, flush strategies, and privacy controls for context-aware AI applications.

Enterprise-grade Reliability

Built on Temporal, providing durable, fault-tolerant workflows trusted by Fortune 500 companies.

Scalable and Secure

Designed with Go for secure, scalable AI workflows offering greater control than no-code platforms.

Open Source Advantage

Fully customizable, free from vendor lock-in, and delivering robust enterprise features out of the box.

Language-agnostic by Design

Declarative YAML-based approach enables easy workflow generation and future multi-language support.

Pricing

Free Tier Available

Full-featured open source workflow orchestration engine available for free with self-hosted deployment and community support.

Open Source

Free
  • Complete workflow engine
  • All task types (basic, parallel, collection, router)
  • AI agent management
  • Custom JS/TS tools with Bun runtime

Cloud

Coming Soon
  • Everything in Open Source
  • Managed infrastructure
  • Automatic scaling
  • Enhanced monitoring & observability

Enterprise Custom

Custom pricing
  • Everything in Cloud
  • On-premise deployment options
  • Advanced security & compliance
  • Custom integrations

Use Cases

AI Workflow Orchestration

Design and manage complex multi-agent AI workflows for tasks such as code analysis, document processing, and automation.

Enterprise Automation

Automate scalable, fault-tolerant business processes with event-driven triggers, scheduled workflows, and robust error handling.

Custom AI Agent Development

Build intelligent agents with integrated LLMs, tool support, and memory management for sophisticated AI applications.

Integration with External Systems

Seamlessly connect AI workflows to external tools and services using MCP servers and custom JS/TS runtimes.

Real-time Event Processing

Implement signal-based event architectures for responsive and decoupled workflow coordination.

Integrations

Model Context Protocol (MCP) Servers

Enables discovery and execution of external tools through secure proxy servers for seamless integration with existing systems.

Custom JavaScript/TypeScript Tools

Allows execution of custom JS/TS code within workflows using the secure Bun runtime for flexible extensions.

Temporal Workflow Engine

Provides durable, fault-tolerant workflow execution and scheduling capabilities.

Benefits

Enterprise-grade reliability with fault-tolerant workflows powered by Temporal.
Scalable and secure architecture built on Go for high performance and control.
Open-source platform free from vendor lock-in with full customization.
Flexible and intuitive YAML-based workflow design accessible to developers and LLMs.
Advanced multi-agent orchestration with support for diverse task types and custom tooling.
Seamless integration with external systems via MCP and secure runtimes.
Event-driven and scheduled workflows for real-time and batch processing.
Robust memory management for context-aware AI applications.

Limitations

Managed cloud platform and advanced enterprise features are not yet available but planned for the future.
Requires familiarity with YAML and workflow orchestration concepts for effective use.

Frequently Asked Questions

Is Compozy open source?
Yes, Compozy offers a fully open-source workflow orchestration engine that can be self-hosted with full features.
What programming languages does Compozy support?
Compozy uses a declarative YAML-based approach for workflows and is language-agnostic by design, with a Go backend and support for custom JS/TS tooling.
Can I integrate Compozy with external tools?
Yes, Compozy supports integration with external tools via Model Context Protocol (MCP) servers and custom JavaScript/TypeScript runtimes.
Does Compozy support scheduled workflows?
Yes, Compozy supports cron-like scheduled workflows powered by Temporal for reliable and fault-tolerant execution.
Is there a managed cloud version of Compozy?
A managed cloud platform is coming soon, offering enhanced features like automatic scaling, monitoring, and priority support.

Getting Started

  1. 1 Step 1: Visit the Compozy documentation to understand core concepts and installation instructions.
  2. 2 Step 2: Install Compozy by following the installation guide for self-hosted deployment.
  3. 3 Step 3: Create your first workflow using YAML templates and define agents, tasks, and triggers.
  4. 4 Step 4: Deploy and monitor your workflows using the platform's tools and debugging features.

Support

Documentation

Comprehensive documentation available at https://compozy.com/docs

Community Support

Community support available for the open-source engine.

GitHub

Source code and issue tracking available at https://github.com/compozy/compozy

Sales Contact

Contact sales for enterprise custom plans via the website.

API

Available: No
Documentation:

API documentation is not explicitly mentioned; refer to general documentation at https://compozy.com/docs

Rate Limits:

Not available

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