Open-source spec-driven development workflow

exployt vs Agent OS

Agent OS gives existing AI coding tools a structured development workflow. It keeps product context, coding standards and feature specs in project files, then guides agents through planning and implementation. It works with Claude Code, Codex, Cursor and other tools; it is not a separate agent runtime.

100+AI agents working in parallel
100,000+lines of code in a single day, solo
100%of your code stays on your machine
Up to 70%lower AI costs
1,500+AI models — text, image and video, incl. free local ones

Different goals

exployt

Give one person a managed team of AI agents that can plan, build, test and debug software across real projects.

Agent OS

Give the coding agent you already use consistent product context, standards and step-by-step specifications.

What you can expect with exployt

  • Run a managed team inside one desktop app instead of assembling prompts and project files for each coding tool.
  • Keep tasks, decisions, learnings and engineering diagnostics together as agents work across projects.
  • Choose among subscriptions, cloud APIs and local models while your coding team keeps working.

exployt vs Agent OS — side by side

What matters exployt Agent OS
Built for One person shipping serious software Spec-driven work with an existing AI coding tool
Product shape Desktop platform with agent orchestration and engineering tools Reusable standards, product context, specs and workflow commands
Agent runtime Runs and coordinates coding agents Uses the runtime of Claude Code, Codex, Cursor or another tool
Multi-agent work AI managers coordinate many role-based agents Optional Claude Code subagent orchestration; other tools use sequential prompts
Project standards Role rules, skills, tasks and project knowledge Customisable standards and profiles injected into workflows
Planning Plans, tasks, approvals and progress in one app Product planning, specs and task creation through guided commands
Debugging Real breakpoints, live variables, call stack, step-through Provided by the connected coding tool, not Agent OS itself
Model choice ~200 AI model & tool providers, 1,500+ models: subscriptions, cloud APIs, local models, image & video Provided by the connected coding tool
Code location On your machine (local DB; only metadata syncs) Your existing project and coding-tool environment
Licence Proprietary app; free for private use Free and open source

Why exployt wins

  • A running agent team with managers, approvals and progress tracking in one desktop product.
  • Built-in debugger, diagnostics, profiling and memory for work on real codebases.
  • Direct access to many model providers and local models alongside coding-tool subscriptions.

Where Agent OS is strong

  • Free, open-source instructions that fit the AI coding tool and editor you already prefer.
  • A clear three-layer context model for standards, product direction and feature specs.
  • Workflows can be customised and used one step at a time when you want close control.

The verdict

Choose Agent OS when you already have a coding agent and want a lightweight, open-source specification workflow around it. Choose exployt when you want the running agent team, project oversight and engineering tools in one desktop platform. The two can also complement each other because Agent OS supplies instructions to other coding tools.

Frequently asked questions

Is Agent OS an AI agent platform?

Agent OS is a spec-driven workflow and context system for existing AI coding tools. Claude Code can optionally use subagents with it, while other tools can follow its command files as sequential prompts.

Can Agent OS work with Codex or Cursor?

Yes. Builder Methods documents command files for Codex, Cursor and other AI coding tools, alongside a Claude Code configuration.

Is Agent OS free?

The Agent OS workflow is free and open source. Your chosen coding tool and model provider may have their own charges.

Ready to lead your AI army?

exployt exists to make one person as powerful as a whole company: run many well-organized AI agents in parallel to build, test and debug production-grade software — all on your own machine, with your choice of AI models.