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Compozy

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

Introduction

What is Compozy

Compozy is a next-level agentic orchestration platform designed for orchestrating scalable multi-agent AI systems using YAML workflows. It simplifies the creation, deployment, and management of distributed AI systems, offering an enterprise-grade solution that leverages declarative YAML for workflow definition.

Features of Compozy
  • Workflow Management: Design complex AI workflows using intuitive YAML templates with dynamic variables and directives. Leverages Temporal for durable, scalable execution.
  • Simple Agent Definition: Create intelligent agents with LLM integration, tool support, memory management, and structured outputs.
  • Powerful Task System: Execute diverse tasks including basic operations, aggregates, collections, routers, signals, and waits with built-in error handling and parallel processing, enabled by Go's native concurrency.
  • Agnostic Runtime for Tools: Execute custom JavaScript/TypeScript code within tasks and agents using a secure Bun runtime with granular permissions for flexible extensions.
Use Cases of Compozy
  • AI Workflow Orchestration: Design and manage multi-agent AI systems using YAML.
  • Code Analysis: Analyze Go code for performance and best practices using specialized agents.
  • Task Automation: Execute a series of tasks, including parallel processing and collection processing.
  • Extensible Agent Systems: Build sophisticated AI behaviors with LLM integration and tool support.

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