Build, manage, and train your AI workforce in one place. Connect 3,000+ tools, define agents and skills, and deploy workflows that keep working while you are away.
One machine. All your tools.
Agents that run themselves.
Machine is a cloud computer where AI agents do the actual work of running a company. Connect your tools, define your agents, and set their schedules and triggers. The system keeps operating whether you're there or not, with persistent memory that compounds over time.
Markdown-defined autonomous workers with their own identity, permissions, tools, and triggers. A support agent, bookkeeper, recruiter — each a specialist.
Reusable knowledge packs that teach agents real work. 60+ built-in: coding, browser automation, deep research, legal writing, spreadsheets, and more.
The autonomous execution loop. An agent works until the task is done, self-verifies, and only stops when it can prove the result is correct.
Time-driven or event-driven. Cron schedules and webhooks with prompt, command, or HTTP actions. Morning briefings, recurring jobs, real-time reactions.
Persistent and filesystem-based. Semantic search across all sessions. Every decision, preference, and context is retained. The longer it runs, the smarter it gets.
One agent delegates to many. Projects, background sessions, parallel sub-agents. A primary orchestrator decomposes work and tracks it to completion.
Each agent is a simple file with frontmatter config and natural language instructions. No SDK required. Version-controlled. Instantly deployable.
---
name: Support Agent
model: gpt-4o
triggers:
- cron: "*/5 * * * *"
- webhook: /api/tickets
skills:
- customer-support
- knowledge-base
- escalation
permissions:
- read:tickets
- write:responses
- read:knowledge-base
---
You are a Tier-1 support agent.
Resolve tickets using the knowledge
base. Escalate P0 issues immediately.GPT-4o, Claude, Gemini, open-source — swap models per agent with one line.
Cron schedules and webhooks fire agents on your timeline, automatically.
Each agent gets exactly the access it needs. Principle of least privilege built in.
Agents remember past sessions. Context compounds across every interaction.
Attach pre-built skill packs or write your own. Mix and match for any workflow.
Agents co-authored by your team via Git. Review, merge, deploy like code.
Monitor every agent, session, and trigger from a single pane of glass. Live status, logs, and resource usage at a glance.
Talk to your agents like teammates. Issue commands, ask questions, get structured responses.
Full-stack code generation with context-aware agents that understand your entire codebase.
Agents that browse the web, read documents, synthesize findings, and deliver structured reports.
Parse, analyze, and generate contracts, reports, briefs, and spreadsheets autonomously.
SOC 2 compliant. Role-based access, audit logs, encrypted secrets, and sandboxed execution environments.
Connect your tools. Configure your agents. Deploy them. Check in when you want.
Every tool your company uses — OAuth apps, MCP servers, REST APIs, CLI tools, and environment variables. If it has an interface, Machine can connect to it.
3,000+ via OAuth · MCP · REST · CLI · env vars
Define agents, attach skills, set up triggers, create commands. Each agent is a markdown file with its own identity, permissions, and activation rules.
Markdown files that define autonomous workers — identity, permissions, tools, triggers.
Knowledge packs: coding, research, browser automation, legal writing, spreadsheets. 60+ built-in.
Slash commands that trigger structured workflows. /autowork, /orchestrate — your playbooks, automated.
Cron schedules and webhooks in agent frontmatter. Morning briefings, event-driven reactions.
Your agents run 24/7. Triggers fire them on schedule. Autowork keeps them going until the job is verified done. Check in whenever you want.
Launch your first agent system in minutes, then scale into skills, triggers, memory, and continuous execution.