What is Compozy?
Compozy is an open-source orchestration platform designed for developers and enterprises building sophisticated multi-agent AI systems. It transforms the challenge of coordinating distributed AI agents into a structured, manageable process, allowing you to move from experimental prototypes to production-ready applications with confidence. By using simple yet powerful YAML workflows, Compozy provides the reliability and scalability needed to handle complex, real-world automation.
Key Features
⚙️ Declarative YAML Workflows: Design and manage complex agent interactions using intuitive, human-readable YAML. This declarative approach simplifies orchestration, making it easy to define parallel fan-outs, conditional logic, and sequential tasks without writing extensive boilerplate code. Your workflows become version-controllable, auditable, and even simple enough for LLMs to generate.
🛡️ Enterprise-Grade Reliability: Compozy is built on a foundation of Go for high performance and Temporal for fault-tolerant execution. This means your workflows are durable and can automatically recover from failures. By leveraging an engine trusted by Fortune 500 companies, you can ensure your multi-agent systems run reliably at scale.
🧩 Advanced Task Orchestration: Go beyond simple agent loops with a powerful system supporting eight distinct task types. You can effortlessly manage parallel processing for tasks like data analysis, route workflows based on agent outputs, and collect results from thousands of sub-agents. This gives you precise control over execution strategy and cost management.
🔌 Agnostic & Extensible by Design: Avoid vendor lock-in with a platform that supports over seven LLM providers (including OpenAI, Anthropic, and Google) and allows you to build custom tools in JavaScript or TypeScript using a secure Bun runtime. Compozy’s language-agnostic philosophy ensures you can integrate the best components for your specific needs.
How Compozy Solves Your Problems
Developing multi-agent systems often means hitting a wall of distributed systems complexity. Compozy is engineered specifically to solve these production challenges.
Tame Distributed Complexity: Instead of spending your time managing throughput, fault tolerance, and cost control, you can focus on innovation. Compozy’s underlying Temporal engine handles the difficult infrastructure work, turning potentially fragile automations into resilient, scalable operations that can handle massive fan-outs with ease.
Eliminate Proprietary Limitations: Many platforms lock you into their ecosystem, limiting customization and escalating costs. As a fully open-source solution, Compozy gives you complete control. You can customize agent prompts, handle untrusted data securely, and debug every step of your workflow without restriction.
Standardize Your Orchestration: Stop reinventing the wheel for monitoring, error recovery, and integration. Compozy provides a standardized, declarative framework for defining how agents, tools, and tasks interact. This creates a unified, reusable, and maintainable structure for all your agentic applications.
Use Cases
AI-Powered Code Analysis: Deploy a workflow where a primary agent receives a code file. It then triggers two parallel sub-agents: one analyzes the code for performance bottlenecks while the other checks for adherence to best practices. Compozy waits for both analyses to complete before a final agent synthesizes the findings into a single, comprehensive report.
Agentic Map-Reduce for Data Processing: Automate large-scale data analysis by having an agent read a massive dataset and fan-out tasks to hundreds of specialized sub-agents. Each sub-agent processes a small chunk of data in parallel. A final "reducer" agent then collects, aggregates, and summarizes the results, completing in minutes what would otherwise be a complex engineering task.
Conclusion
Compozy isn't just another agent framework; it's the production-grade infrastructure that makes multi-agent AI systems reliable, scalable, and manageable. It provides the robust foundation you need to move beyond single-agent prototypes and build powerful, distributed AI solutions.
Explore the open-source engine on GitHub to start building your first workflow today!





