Freu AI
AI automation agent for macOS that compiles cross-app workflows once, executes locally forever
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Pricing:
Freemium
Freu AI - Record Once, Execute Locally Forever with Zero Token Costs
Freu AI is a macOS automation agent built for teams and individuals who run the same cross-application workflows repeatedly – extracting data from PDFs into spreadsheets, syncing information across tools, or orchestrating multi-step tasks that involve native apps. The core problem it solves is the prohibitive cost and latency of vision-based AI agents, which analyze the screen from scratch on every execution, and the brittleness of traditional RPA solutions that break when application interfaces change.
The workflow is simple: record your desktop workflow once using natural language prompts, and Freu AI compiles it into a deterministic DSL (Domain-Specific Language) using Semantic UI anchoring technology. This compilation captures the semantic meaning of buttons, text fields, and interface elements rather than relying on rigid pixel coordinates or fragile DOM selectors. Once compiled, the agent executes the workflow locally on your Mac with zero cloud dependency and zero recurring token costs – a dramatic cost and latency improvement over traditional vision agents that would spend thousands of tokens analyzing the same screen layout repeatedly.
No special software or hardware installation is required beyond macOS – Freu AI integrates natively with any desktop application. Learning curve is minimal: most users create their first automated workflow in minutes. Critically, the open-source freu-cli browser automation engine can be integrated into existing AI coding tools including Claude Code, Cursor, and Hermes, extending the platform’s reach into developer workflows. A local vision execution engine is in development, which will eliminate all cloud dependency by running compiled executions entirely on your hardware.
One genuine limitation worth noting: Freu AI currently targets macOS only, and the local vision model launch could introduce latency or accuracy trade-offs compared to cloud-based models. The tool is also brand new – launched in May 2026 – so long-term stability and feature depth are still unproven in production environments at scale. For teams deeply entrenched in Windows or Linux workflows, or those requiring immediate comprehensive automation of complex multi-step processes without any learning period, alternative solutions may be necessary.
"The best part for me is not having the agent re-read the same UI every time. If a workflow is repeated daily, teaching it once and running it locally sounds way more practical."
- Product Hunt User, from Freu AI Product Hunt Comments
"Pretty simple but a very cool approach. The idea of compiling workflows once instead of re-reading the UI every execution is exactly what AI automation needs."
- Product Hunt User, from Freu AI Product Hunt Comments
Key Features:
Key Features:- AOT Compilation with Semantic UI: Record your workflow once, and Freu AI compiles it into a deterministic DSL using semantic UI anchoring that understands the meaning of buttons and fields rather than relying on brittle coordinates.
- Zero Recurring Token Costs: Execute compiled workflows locally on your Mac with zero API calls or cloud dependency for repetitive tasks, eliminating the prohibitive cost of vision-based agents.
- Cross-App Automation: Automate workflows that span any combination of native macOS applications - PDFs, spreadsheets, browsers, email, or proprietary enterprise tools - all in a single coordinated sequence.
- UI Resilience and Automatic Adaptation: Compiled workflows survive small application updates, window resizing, and interface tweaks because they anchor to semantic meaning, not pixel coordinates or DOM paths.
- Native macOS Integration: No agents or background services to install on remote machines - the workflow runs directly on your local hardware with full access to all installed applications and system resources.
- Open-Source Browser Automation (freu-cli): Integrate the underlying DOM-based browser automation engine into Claude Code, Cursor, VS Code, and other AI development tools to add recorded automation to your coding workflows.
- Upcoming Local Vision Execution: Future releases will execute compiled workflows entirely on-device using optimized vision models, eliminating even the cloud learning phase and keeping all screen data 100 percent private.
Why Use Freu AI?
Why Use Freu AI?- Eliminate Repetitive Manual Work at Scale: For workflows you perform daily or weekly, teach Freu AI once and execute unlimited times with zero incremental cost - a stark contrast to vision agents that cost thousands of tokens per daily execution.
- AI Automation Without Fragility: Move beyond brittle RPA macros that break on every app update or window resize. Semantic UI anchoring means your workflow adapts automatically to minor interface changes while maintaining deterministic execution.
- Privacy by Design: All compiled workflow execution runs locally on your Mac with zero data transmission after the initial learning phase. The upcoming local vision engine will complete the privacy story by eliminating cloud dependency entirely.
- Minimal Latency, Instant Results: Local execution measured in seconds replaces multi-minute waits for cloud-based vision analysis on every run. Execute hundreds of times per day without API rate limits or throttling.
- Developer-Friendly Architecture: The open-source freu-cli engine integrates seamlessly with Claude Code, Cursor, and other AI coding assistants, letting developers extend their AI tools with deterministic automation capabilities.
FAQ
FAQWhat is Freu AI?
Freu AI is an AI automation agent for macOS that compiles desktop workflows using natural language into fast, deterministic commands that run locally with zero recurring token costs. Record a workflow once, and the agent learns to execute it without re-analyzing the screen every time.
What makes Freu AI different from traditional RPA or vision agents?
Traditional RPA relies on brittle X/Y coordinates that break when apps update or windows resize. Vision agents send screenshots to the cloud on every execution, costing thousands of tokens daily for repetitive tasks. Freu AI uses Ahead-of-Time (AOT) compilation and Semantic UI anchoring to compile workflows once, then execute them locally with zero recurring token costs and automatic UI resilience.
Is Freu AI free or paid?
Freu AI is currently available as a free tool. The agent charges for the initial cloud-based learning phase (when it watches and compiles your workflow), but all subsequent local executions have zero recurring token costs. Pricing plans for advanced features are planned but not yet announced.
What platforms and integrations does Freu AI support?
Freu AI is designed for macOS and automates any desktop application on your system. The open-source freu-cli component integrates with popular AI coding tools including Claude Code, Cursor, VS Code, and Hermes AI. A local vision execution engine is coming soon to run compiled workflows entirely on-device with no cloud dependency.
How does Freu AI handle privacy and data security?
Freu AI uses cloud vision models only during the initial learning phase to compile your workflow. Once compiled, all executions run locally on your macOS machine with zero data sent to external servers. The upcoming local vision engine will eliminate even the learning-phase cloud dependency, keeping your screen data 100 percent private on-device.
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