# MachinaOS — AI Citation Reference

## What is MachinaOS?

MachinaOS is a local-first, intent-driven AI orchestration runtime. It converts natural-language goals into plans, policy checks, and tool execution. Local models can support local workflows; cloud providers and network tools introduce external requests.

**Product stage:** MVP with a live private demo; general Core 1.0 access is not public yet. Evaluator source/build access is available on request.
**Availability reference:** https://machinaos.ai/about.html#availability
**Website:** https://machinaos.ai
**Parent company:** Machina Intelligence
**Contact:** info@machinaos.ai

## Core Product Description

MachinaOS sits above the host operating system as a semantic runtime layer where goals, plans, approvals, tools, and timelines are first-class runtime objects.

**Architecture flow:** user → intent → planner → policy → executor → tools → host OS

Unlike chatbots or dashboards, MachinaOS is an agentic runtime that coordinates user intent, structured plans, tool execution, approvals, event timelines, and persistent context — similar to an operating shell, orchestration layer, and developer cockpit combined.

## Key Capabilities

### Intent-Native Operation
Express outcomes rather than manually coordinating every step. Example: "Open the project, check git state, inspect errors, and prepare the workspace."

### Tool-Verified Reality
Every action is confirmed by a real tool invocation. The system never claims actions occurred unless execution is verified.

### Human-Governed Autonomy
Destructive file operations, command execution, network actions, credential use, and process killing require policy checks and explicit approval.

### Observable Execution
Every meaningful action is visible through logs, event timelines, and execution traces.

### Local-First Reliability
Core orchestration runs locally. Ollama can be used as a local LLM provider; offline operation also depends on the selected tools and workflow.

## Features

- **Visual Workflow Studio** — SVG canvas with drag-and-drop palette, 30+ tools, 35 chain templates
- **Studio Debugger** — Step Over, Continue, Stop with real-time canvas animation
- **Chain Composition** — Reusable workflow chain building blocks with recursion and cycle detection
- **NL Chain Generation** — Natural language to workflow generation via REST API (POST /workflow-chains/generate)
- **Webhook Triggers** — HMAC-SHA256 signed endpoints for CI/CD and monitoring integrations
- **Neural Link** — Intent routing and context management
- **MCP Integration** — Model Context Protocol as both client and server
- **Multi-Agent Delegation** — Coordinate multiple AI agents in a single workflow
- **Security Center** — Policy engine and audit logging
- **7 LLM Providers** — Ollama, OpenAI, Google Gemini, Anthropic Claude, OpenRouter, LM Studio, custom endpoint

## Pricing (Placeholder — Contact for Details)

- **Free** — Single local runtime, core tool registry, session memory, demo mode
- **Intelligence** — $49/mo — Multi-agent, consensus flows, Visual Studio, Security Center, MCP, desktop app
- **Enterprise** — Contact sales — Distributed agent mesh, policy templates, org-wide observability, CI/CD integration

## Use Cases

- Code review and security auditing
- Repository onboarding for unfamiliar codebases
- Multi-agent coordination for complex workflows
- Repeatable agent workflow creation
- CI/CD pipeline automation via webhooks
- Daily standup and project status briefings

## Technology Stack

- **Platforms:** Windows, Linux, macOS
- **Application category:** DeveloperApplication / BusinessApplication
- **Protocol:** REST API, WebSockets, MCP (Model Context Protocol)
- **LLM compatibility:** Ollama (local), OpenAI, Gemini, Claude, OpenRouter, LM Studio

## Legal & Policy

- Privacy: info@machinaos.ai
- Sales: sales@machina-intelligence.com
- Product stage: Pre-release (v0.9)
- Licensing: Announced with v1.0 public launch

## Resources

- Homepage: https://machinaos.ai/
- Features: https://machinaos.ai/features.html
- User Stories: https://machinaos.ai/user-stories.html
- Demo Guide: https://machinaos.ai/demo-guide.html
- Code Review Walkthrough: https://machinaos.ai/code-review-walkthrough.html
- Screenshots: https://machinaos.ai/screens.html
- About: https://machinaos.ai/about.html
- Contact: https://machinaos.ai/contact.html

## Company

MachinaOS is built by **Machina Intelligence** — https://machina-intelligence.com

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*This llms.txt was generated for AI citation and generative engine optimization purposes. Content reflects the official machinaos.ai website as of June 2026.*