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Compozy - AI Workflow Orchestration

Compozy - AI Workflow Orchestration

Orchestrate 40+ AI agents from idea to shipped code in one CLI

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Updated Jul 2026 · Added Jun 2026
compozy.com
Llm OrchestrationFreeai-code-assistants
Compozy - AI Workflow Orchestration

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What is Compozy?

Compozy is an open-source CLI that orchestrates 40+ AI coding agents through a structured seven-phase pipeline - from idea to merged pull request. It eliminates context-switching and lost context by connecting isolated AI agents into a unified workflow with persistent memory, codebase enrichment, and automated code review. Built for developers who want AI-assisted development without vendor lock-in, it runs entirely locally with zero dependencies.

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Key Features of Compozy

  • 40+ AI agents orchestration (Claude, Codex, Gemini, Ollama, OpenRouter, and 35+ more)
  • 7-phase structured pipeline (Idea → PRD → TechSpec → Tasks → Execution → Review → Memory)
  • Codebase-aware agent enrichment with automatic repository analysis
  • Cross-task workflow memory with automatic compaction
  • Markdown-first artifacts (all outputs are versioned, committable markdown)
  • Local-first execution with zero runtime dependencies
  • Single binary installation via Homebrew, NPM, Go, or source
  • Full audit trail from idea through merged pull request
  • No accounts, no telemetry, no vendor lock-in

Who Should Use Compozy?

Accelerate feature development with structured AI-assisted workflows

Maintain full context across multi-agent coding sessions

Automate code generation with repository-aware agents

Generate PRDs and technical specifications from plain language ideas

Execute parallel task generation with code review validation

Manage long-running development projects with persistent memory

Compozy: Pros & Cons

Pros

  • 100% open source (MIT licensed) with no proprietary formats
  • Zero runtime dependencies and local-first execution
  • Supports 40+ AI agents with seamless agent switching
  • Automatic codebase enrichment ensures agents understand your code patterns
  • Structured pipeline prevents lost context between handoffs
  • All artifacts are plain markdown for easy version control and diffing
  • No accounts or telemetry required
  • Full transparency with complete audit trail

Frequently Asked Questions about Compozy

Can I run Compozy entirely on my local machine without cloud dependencies?

Yes. Compozy executes entirely locally with zero runtime dependencies and no required accounts or telemetry. You provide your own API keys for the AI models you choose, whether that's Claude, Codex, Gemini, Ollama, OpenRouter, or any of the 35+ other supported agents. The only external call is to your chosen model's API.

What happens to the outputs from each phase of the seven-step pipeline?

All artifacts are written as plain markdown files that can be versioned, diffed, and committed directly to your repository. The pipeline produces outputs at each stage: idea becomes a PRD, PRD becomes a technical specification, specification becomes executable tasks, tasks get code generated, code goes through review, and the entire workflow creates a persistent memory layer for future runs.

If I switch between different AI models, do agents lose context about my codebase and previous work?

No. Compozy automatically enriches all agents with codebase analysis and maintains cross-task workflow memory with automatic compaction. When you switch models, the agents have access to the same repository context and the accumulated memory from earlier phases, so context persists across agent changes and pipeline stages.

What does Compozy cost beyond the API fees for my chosen AI models?

Compozy itself is free and open source under the MIT license. A cloud option is coming soon, and enterprise licensing is available by contacting them directly, but the core CLI with full orchestration capability requires no payment.

Tags

AI OrchestrationMulti-Agent SystemsWorkflow ManagementYAML WorkflowsGoTemporalOpen SourceEnterprise AI

Tool Details

Company
Compozy Inc.
Pricing
Free
Languages
English, Portuguese
Added
Jun 2026
Last Updated
Jul 2026

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