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.
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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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Claim this listingKey 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
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
Limitations
Frequently Asked Questions
Is Compozy open source?
What programming languages does Compozy support?
Can I integrate Compozy with external tools?
Does Compozy support scheduled workflows?
Is there a managed cloud version of Compozy?
Getting Started
- 1 Step 1: Visit the Compozy documentation to understand core concepts and installation instructions.
- 2 Step 2: Install Compozy by following the installation guide for self-hosted deployment.
- 3 Step 3: Create your first workflow using YAML templates and define agents, tasks, and triggers.
- 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
API documentation is not explicitly mentioned; refer to general documentation at https://compozy.com/docs
Not available
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