Compozy

Compozy is an AI-native development platform that acts as an AI Development Manager, helping engineering teams orchestrate the entire AI software lifecycle from product requirements to pull requests in a structured and traceable way. It is designed for building AI agents, automating complex workflows, and standardizing how AI is integrated into software delivery processes.

At its core, Compozy provides a powerful task and workflow system that supports diverse task types, including basic operations, aggregates, collections, routers, signals, waits, and more.[1] Workflows are defined in a declarative way and executed with built-in error handling, retries, and parallel processing. This makes it suitable for coordinating long-running, distributed, or multi-step AI workflows where reliability and observability are important.[1][3]

The platform offers an agnostic runtime for tools, allowing teams to execute custom JavaScript or TypeScript code securely within tasks and agents using a Bun-based runtime with granular permissions.[1] This enables high-performance extensions, custom logic, and integrations without being locked into a specific vendor or rigid no-code environment. Compozy also integrates with external tools and services via Model Context Protocol (MCP), so AI agents can discover and call external capabilities through MCP servers using a secure proxy.[1]

Compozy supports signal-based, event-driven architectures, where workflows can react to events using signal tasks, wait tasks, and triggers.[1] It also includes scheduled workflows, similar to cron jobs, for recurring AI tasks and batch processing. These workflows are powered by Temporal, giving them durable, fault-tolerant execution and making them robust against failures or restarts.[1]

For AI applications that rely on conversation context or long-running interactions, Compozy includes flexible memory management. It can store and retrieve conversation history with configurable backends, flushing strategies, and privacy controls, and it integrates this state management with Temporal for reliability.[1] This helps maintain context-aware behavior across sessions and complex workflows.

From a platform perspective, Compozy focuses on enterprise-grade reliability, scalability, and security. It is built on the Temporal workflow engine, which is used by large organizations for mission-critical workloads, and implemented in Go to support high performance and secure concurrency.[1][3] The system is open source and designed to be customizable, reducing vendor lock-in and allowing teams to adapt it to their existing infrastructure and development practices.[1][3]

Overall, Compozy provides a full-featured AI orchestration layer that combines AI agents, task orchestration, external tool integration, scheduling, events, and memory into a single, programmable platform. It is oriented toward teams that want to standardize AI usage across their software development lifecycle, increase traceability of AI activities, and manage distributed AI workflows in a controlled and repeatable way.[1][4]

Website: compozy.com

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