![[Fully Open source] Machinaos: Token to work and $$ Converter, Openclaw + N8N mashup.](https://preview.redd.it/i7bnj5scqk0h1.png?width=140&height=69&auto=webp&s=84ecd2b387e13e4ab4e385cef40b045079712626)
[Fully Open source] Machinaos: Token to work and $$ Converter, Openclaw + N8N mashup.
Introducing MachinaOS: OS That converts LLM Tokens to Work and $$.
Think of it like n8n + openclaw mashup
Your own AI assistant that does real work. Drag, drop, and connect AI agents to your email, calendar, messages, browsers, phone, and 100+ other services.
That's it no Need to Set parameters or variables or build Build Business Logic , the AI Takes care of it.
It runs on your own machine — your data stays with you.
No thousands of nodes and parameters logic.
No code required.
No subscription.
No usage limits.
No outsourcing to Build the Workflow , it builds itself.
Bring your own API keys (or run models locally with Ollama / LM Studio for free) use it for Fully Free.
Full Capabilities [AI Employee]↓
How It Works
Pick nodes from the palette, drag them onto a canvas, connect them with lines, give your AI agent some memory and skills, and hit Play. Or deploy the workflow so it runs forever in the background — waiting for emails, responding to messages, checking in on a schedule, doing the work you'd rather not.
More Powerful Workflows that You can Create
The first time you open MachinaOS, three example workflows load automatically. Open them on the canvas to see exactly how the pieces fit together, then edit any node and save your own version.
What You Can Build using Machinaos
Personal AI assistants that remember
Build a chat assistant that knows your calendar, reads your inbox, and follows up on tasks. Conversations are saved as readable markdown so you can edit what your agent remembers. Long-term memory uses vector search so years of conversation stay accessible.
Agent teams that delegate
Hire an AI Employee as a team lead. Connect specialized agents — a Coding Agent, a Web Agent, a Productivity Agent — and the team lead automatically figures out who to delegate which subtask to. Each agent has its own memory, tools, and skills.
Task automations that run themselves
Schedule recurring jobs ("every weekday at 9 AM, summarize my unread emails"), respond to incoming events ("when a customer texts on WhatsApp, draft a reply"), or build complex multi-step pipelines that run in the background. Workflows run reliably even if your computer restarts.
Email, calendar, and document workflows
- Send and search Gmail, schedule and update Calendar events
- Upload to Drive, edit Sheets, manage Tasks and Contacts
- Read inbox via IMAP from Gmail, Outlook, Yahoo, iCloud, ProtonMail, Fastmail, or any custom server
- Parse PDFs and documents into searchable knowledge bases
Messaging across every platform
Send and receive on WhatsApp (with newsletter channels, groups, contacts), Telegram (with bot owner detection), Twitter/X (post, reply, search, look up users), and a unified social node that abstracts over Discord, Slack, Signal, SMS, Matrix, Teams, and more[Pending Work.]
Phone control from a workflow
Pair your Android phone via QR code and control it from any agent: read battery + network status, launch apps, toggle WiFi / Bluetooth / airplane mode, take photos, read environmental sensors, manage media playback. 16 device services available.
Web automation & research
- Interactive browser with accessibility-tree navigation (click, type, screenshot) — your agent can use websites the way you do
- Web scraping with Crawlee (static + JavaScript-rendered pages) and Apify actors (Instagram, TikTok, LinkedIn, Facebook, YouTube, Google Search)
- Search APIs: DuckDuckGo (free), Brave, Serper (Google), Perplexity (AI answers with citations)
- Residential proxies with geo-targeting and automatic provider rotation
Code execution that's actually safe
Run Python, JavaScript, and TypeScript code from any workflow. Each workflow gets its own isolated workspace folder — no chance of an agent touching files outside its sandbox. The Process Manager node owns long-running tasks like dev servers, builds, and watchers, with live output streaming to a Terminal tab in the UI.
Pay bills, take payments
Stripe integration with action node (charge customers, manage subscriptions) and webhook receiver (react to payment events in real time). Same pattern works for any service with a CLI.
AI Capabilities
11 LLM providers — bring your own keys or run locally
| Provider | Notes |
|---|---|
| OpenAI | GPT-5 family, GPT-4.1, o-series reasoning models, GPT-4o |
| Anthropic | Claude Opus 4.x, Sonnet 4.x, Haiku 4.5 — with extended thinking |
| Gemini 3 Pro/Flash, 2.5 Pro/Flash — with reasoning budgets | |
| DeepSeek | DeepSeek V3, DeepSeek Reasoner |
| Kimi | Kimi K2.5, Kimi K2 Thinking |
| Mistral | Mistral Large/Small, Codestral |
| Groq | Llama 3/4, Qwen3, GPT-OSS (ultra-fast inference) |
| Cerebras | Llama 3.1, Qwen-3-235b (custom AI hardware) |
| OpenRouter | 200+ models via one unified API |
| Ollama | Run any local model on your machine — free, private, offline |
| LM Studio | Run any local model with a desktop app — free, private, offline |
Local providers (Ollama, LM Studio) are first-class — context length, vision support, and tool-use capability are detected automatically from your running server. No paid API needed.
17 specialized agent types
Pick the right agent for the job:
| Agent | Specialized for |
|---|---|
| AI Employee / Orchestrator | Team leads that coordinate other agents |
| Android Agent | Phone control |
| Web Agent | Browser automation, scraping, search |
| Coding Agent | Writing and running code (Python / JS / TS) |
| Productivity Agent | Gmail, Calendar, Drive, Sheets, Tasks, Contacts |
| Social Agent | WhatsApp, Telegram, Twitter messaging |
| Task Agent | Scheduling, reminders, cron jobs |
| Travel Agent | Maps, location lookup, planning |
| Payments Agent | Stripe + financial workflows |
| Consumer Agent | Customer support, order management |
| Deep Agent | LangChain DeepAgents with filesystem tools + sub-agent delegation |
| Claude Code Agent | Anthropic's Claude Code CLI for advanced coding sessions |
| Codex Agent | OpenAI Codex CLI integration |
| RLM Agent | Recursive Language Model — write code that calls itself recursively |
| Autonomous Agent | Code-mode loops that reduce token usage 80-98% |
| Tool Agent | General-purpose tool orchestration |
Team leads automatically expose every connected agent as a delegate_to_* tool — the AI decides who to hand work off to based on the task.
Skills you can edit yourself
Skills are short markdown files that teach an agent how to do something well — when to use which tool, what arguments to pass, common mistakes to avoid. Edit them in the UI; the changes apply immediately. Built-in skills cover Android control, Google Workspace, social messaging, web research, coding, terminal use (Bash, PowerShell, WSL, Nushell), and more.
Memory that scales with your context window
Agents track token usage and automatically compact long conversations when you hit half your model's context limit. Compaction summarizes in five sections — Task Overview, Current State, Important Discoveries, Next Steps, Context to Preserve — so the agent picks up exactly where it left off. For Anthropic and OpenAI, native API compaction is used; everywhere else, the agent summarizes itself.
Cost tracking, built in
Every LLM call and API request is tracked with USD cost. See per-provider spend in the Credentials panel. Configure your own pricing in pricing.json if you switch providers mid-flight.
The Canvas
- 10 visual themes — light, dark, Renaissance, Greek, Edo, Steampunk, Atomic, Cyber, Wasteland, Rot, Plague, Surveillance — each with its own icon set, sound pack, and decorative ornaments. Pick the vibe that matches your workflow.
- Drag-to-map outputs from one node's output directly onto another's input fields.
- Live execution animations — nodes glow while running, show iteration count for AI agents, and surface errors inline.
- Multi-tab Console — chat with trigger nodes, watch console logs, and view terminal output side by side.
- Component palette with search, categories, and a Normal/Dev mode toggle that hides advanced nodes when you don't need them.
- 5-step onboarding wizard for first-time users, replayable any time from Settings.
Appreciate Github Stars: https://github.com/zeenie-ai/MachinaOS
If anything goes wrong, the Discord community is the fastest way to get help.
Quick Setup Tour
- Install with
npm install -g machinaos(or run from source) - Start with
machina start— opens at http://localhost:3000 - Connect a provider — click the Credentials button, paste an API key or click through OAuth
- Drag a node from the left palette onto the canvas
- Connect outputs to inputs by dragging between handles
- Run by clicking the play button on any node, or Deploy the whole workflow to run on its own forever