Compozy

What is Compozy?

Compozy is an advanced platform that enables users to design, deploy, and manage multi-agent AI systems using declarative YAML configurations, simplifying complex automation processes. Its mission is to provide scalable and reliable AI workflows for enterprises, addressing challenges such as debugging, monitoring, and handling untrusted data in production environments. By integrating technologies like Temporal for fault-tolerant execution and Go for high performance, Compozy offers full infrastructure control and surpasses basic frameworks in enterprise readiness. The platform serves developers, teams, and businesses by facilitating the creation of context-aware AI applications with features like memory management and tool integration. Ultimately, it solves problems related to AI orchestration, making it easier to build cost-efficient, secure, and automated solutions for various industries.

Compozy's Core Features

• Workflow Management allows designing AI workflows using YAML templates with dynamic variables, directives, and Sprig functions, powered by Temporal for durable execution and reliability.

• Simple Agent Definition enables creating agents with LLM integration, tool support, memory management, and structured outputs, providing enterprise-level capabilities beyond basic frameworks.

• Powerful Task System supports executing diverse tasks including basic, parallel, collection, router, signals, and waits with error handling and concurrency via Go.

• Agnostic Runtime for Tools permits executing custom JavaScript/TypeScript code within tasks and agents using a secure Bun runtime with granular permissions.

• MCP Integration facilitates discovering and executing external tools via Model Context Protocol servers through a secure proxy for seamless system integration.

• Signal-Based Events implement event-driven architectures with signal tasks, wait tasks, and triggers for decoupled and efficient workflow coordination.

• Scheduled Workflows enable creating automated, recurring AI tasks and batch processing powered by Temporal's scheduling features.

• Memory Management provides storage and retrieval of conversation history with configurable backends, flush strategies, and privacy controls for context-aware AI.

• Reliability is ensured through Temporal, a proven workflow engine trusted by Fortune 500 companies, offering fault-tolerant AI workflows.

• Security is enhanced with Go-based design, delivering secure and scalable AI workflows with greater developer control than no-code alternatives.