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MachinaOS

Local-first orchestration layer that converts natural language goals into validated plans, policy checks, and real tool execution

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From the registry's public RDAP record, checked 16 Oct 2026, 14:18 UTC.
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Intent-native runtime for governed AI agent workflows that turns natural language requests into structured plans, runs real tools on your machine, and records an inspectable timeline.

About MachinaOS

Screenshot of the MachinaOS homepage
The MachinaOS homepage

MachinaOS is a desktop application that adds a semantic runtime layer above your operating system where natural language goals become structured, validated execution plans. It converts intent into visible plans, gates risky operations through policy checks, runs real tools on your machine with human approval, and maintains a tamper-evident audit log. The system supports multi-agent workflows, visual pipeline design, security controls, and works with seven LLM providers including fully local inference via Ollama.

Features worth knowing

  • Visual Workflow Studio with drag-and-drop pipeline canvas
  • Natural language chain generation from plain English descriptions
  • Step-by-step debugger with real-time node animation
  • Policy gates and human approval for destructive operations
  • Multi-agent delegation with consensus workflows
  • AES-256-GCM encrypted secrets vault
  • Support for 7 LLM providers including Ollama
  • Immutable SOC 2-style audit log with SHA-256 hash chains

Pricing

Free: $0 with single local runtime, core tool registry, session memory, demo mode. Intelligence: $49/month with multi-agent delegation, Visual Workflow Studio, Security Center, MCP protocol, 7 LLM providers, native desktop app. Enterprise: custom pricing with distributed agent mesh, security policy

FAQ

What does intent-native mean?
Intent-native means the system is designed from the ground up to accept natural-language goals and convert them into structured, validated plans with a dedicated planning layer that decomposes goals into steps, assigns tools, checks policies, and records outcomes as first-class runtime objects.
How is MachinaOS different from LangChain, AutoGen, or CrewAI?
MachinaOS is a runtime layer that ships as a desktop application with native UI, visual workflow studio, security center, and audit log. You interact with it through natural language or visual canvas rather than code. It runs fully locally with no cloud infrastructure dependency.
Does MachinaOS run fully locally?
Yes. The runtime, planner, tool registry, memory system, secrets vault, and audit log all run on your local machine. Ollama can be used as a fully local LLM provider with zero network calls, though cloud LLM providers are opt-in.
Which LLM providers does MachinaOS support?
MachinaOS supports seven LLM providers: Ollama (fully local), OpenAI, Google Gemini, Anthropic Claude, OpenRouter, LM Studio, and a configurable custom endpoint. You can hot-reconfigure the active provider from Settings without restarting the runtime.
What is the policy gate and approval system?
The policy gate evaluates every proposed step against a risk profile before execution. Destructive operations trigger an approval requirement where the runtime pauses and presents the plan for human review. You can approve, deny, modify, or request an explanation for any step, with all decisions recorded in the immutable audit log.

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