Why Compozy?
The AI development landscape is complex and fragmented, with developers facing significant barriers to entry:Fragmented Development
Developers struggle to integrate AI agents with various tools and data sources while maintaining contextual awareness. This fragmentation leads to complex, hard-to-maintain systems that require extensive expertise across multiple technologies.
Closed Ecosystems
Most AI agent platforms are closed-source and proprietary, making it difficult for developers to understand, customize, or extend the underlying systems to meet their specific needs.
Lack of Standards
The absence of standardized approaches to building and connecting AI agents leads to incompatible implementations, duplicated effort, and difficulty in sharing or reusing agent components across projects.
Integration Complexity
Creating API endpoints and handling integrations manually requires significant development effort, slowing down deployment and making it harder to iterate quickly.
Solving these problems
We solve these challenges by providing a comprehensive, open platform that simplifies AI agent development, deployment, and orchestration - making powerful AI capabilities accessible to developers of all skill levels:Declarative Open Source Engine
Build powerful AI workflows using an intuitive, open-source YAML specification. Inspired by GitHub Actions, our format lets you define complex automation with simple, human-readable syntax - from triggers and actions to data flows and conditional logic.
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Community-Powered Registry
Access and contribute to a growing ecosystem of pre-built tools, agents, and MCP servers. Extend your workflow capabilities with community-driven components.
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Seamless Agent Orchestration
Create complex workflows, chaining actions and connecting multiple agents seamlessly, with built-in context management, memory systems, and MCP integration for consistent decision-making.
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Language & Tool Agnostic
Build AI agents and workflows using your preferred programming languages and tools. Compozy's platform-agnostic approach ensures seamless integration with any AI framework, model, or development stack.
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