ABOUT / WORKING MACHINES
Software agents can actually use.
Learn why Working Machines is building an application layer designed for AI agents rather than human interfaces.
What we build
Working Machines is an application layer for AI agents. It turns the software businesses already use into structured Agent Apps that Codex, Claude, ChatGPT, Cursor, and custom agents can discover and operate directly.
The platform is designed around machine-readable actions, connection identity, permissions, and structured results. Agents can focus on the job while Working Machines handles the application contracts underneath it.
Why it exists
Traditional software assumes a person will navigate pages, click buttons, and complete forms. Agents need a different interface: explicit capabilities with schemas, permission boundaries, and results they can verify.
Working Machines provides that layer across 1,400+ applications and 15,000+ actions without requiring a new integration inside every agent host.
Who it is for
Individual developers can connect an agent through MCP. Product teams can use the HTTP API or OpenAPI contract. Organizations can apply shared connections, policies, and execution records across multiple agents.
- Developers building with Codex, Claude Code, Cursor, or custom agents
- Teams automating engineering, sales, support, operations, and finance workflows
- Organizations that need credentials and permissions kept outside model context
How to evaluate it
Start with the public documentation and machine-readable OpenAPI document. Connect a non-production account, discover the smallest action set for one workflow, and inspect every schema before enabling write operations.