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The Free, Open-Source Cluely Clone

Natively started as a pixel-perfect recreation of Cluely's interface — then kept going. If you've used Cluely, you already know how to use Natively. Same overlay, same workflow, same shortcuts. Except it's free, open-source, runs locally, supports any LLM, and has never breached a single user's data.

Looking for a free Cluely alternative? A Cluely open-source clone? You found it.

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Free AI Coding Interview Assistant — Undetectable on LeetCode, HackerRank & CoderPad

Natively works as a free, undetectable AI coding interview assistant for standard online assessments. It captures your screen, analyzes the problem, and gives you real-time hints, solutions, and explanations — all through an invisible overlay that doesn't interfere with your coding environment.

Works undetected on:

• LeetCode (including LeetCode contests)
• HackerRank
• CoderPad
• Codility
• HackerEarth
• Karat
• Any browser-based coding environment

How it works:

1. Screenshot the problem with a single shortcut
2. Natively OCRs the question and sends it to your chosen AI (GPT, Claude, Gemini, or local Ollama)
3. Response appears in the invisible overlay — never on screen share

⚠️ Important: Natively is not designed to bypass dedicated proctoring software like Pearson VUE, ProctorU, or Respondus Lockdown Browser — these run at the OS level and are a different category entirely. For standard online coding assessments without dedicated proctoring software, Natively's stealth mode is not detectable.

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3 things you should know before choosing an interview AI

1. Cluely had a data breach in mid-2025 that exposed 83,000 users' personal info, transcripts, and screenshots — Natively stores everything locally with limited basic telemetry and has never had a breach.
2. Final Round AI costs $149/month and its taskbar icon is visible to proctoring software — Natively is free, open-source, and has a battle-tested undetectable stealth mode.
3. LockedIn AI charges $55–70/month and locks you into their cloud LLM with no local option — Natively lets you use any model (GPT, Claude, Gemini, Llama) or go fully offline with Ollama.

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Demo

This demo shows a complete live meeting scenario:

• Real-time transcription as the meeting happens
• Rolling context awareness across multiple speakers
• Screenshot analysis of shared slides
• Instant generation of what to say next
• Follow-up questions and concise responses
• All happening live, without recording or post-processing

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Full Comparison: Natively vs Cluely vs Final Round AI vs LockedIn AI vs Interview Coder

Feature	Natively	Cluely	Pluely	LockedIn AI	Final Round AI
Price	✅ Free (BYOK)	⚠️ $20/mo	✅ Free	❌ $55–70/mo	❌ $149/mo
Open source	✅ AGPL-3.0	❌	✅	❌	❌
Local data / private	✅ Yes	❌ Cloud servers	✅ Yes	❌ Cloud servers	❌ Cloud servers
Any LLM (BYOK)	✅ Yes	❌ Vendor-locked	⚠️ Limited	❌ Vendor-locked	❌ Vendor-locked
Local AI (Ollama)	✅ Yes	❌	❌	❌	❌
Real-time <500ms	✅ Yes	⚠️ 5–90s lag	✅ Yes	✅ ~116ms	⚠️ Slowest
Dual audio channels	✅ System + Mic	❌ Single stream	❌	❌	❌
Local RAG memory	✅ SQLite + sqlite-vec	❌	❌	❌	❌
Meeting history	✅ Full dashboard	⚠️ Limited	❌	❌	⚠️ Limited
Screenshot OCR	✅ Yes	⚠️ Limited	❌	✅ Yes	⚠️ Limited
Stealth mode	✅ Undetectable	❌	❌	❌	❌ Visible to proctors
Process Disguise	✅ Terminal, Settings, etc	❌	❌	❌	❌
Resume & context	✅ Pro	❌	❌	✅ Yes	✅ Yes
Data breach history	✅ None	❌ 83k users exposed	✅ None	✅ None	✅ None

Legend: ✅ Full support · ⚠️ Partial or limited · ❌ Not available

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Why Natively wins

vs Cluely — breached 83,000 users

The UI is intentionally familiar — if you've used Cluely, there's zero learning curve.

Cluely's mid-2025 data breach exposed personal information, full interview transcripts, and screenshots of 83,000 users. Every word spoken during an interview was stored on their servers — and then leaked. They charge $20/month for this privilege.

Natively has no backend, no servers, and limited telemetry (basic GA4 install tracking, zero user data). Your transcripts, API keys, and screenshots never leave your machine. The entire codebase is open-source (AGPL-3.0) and auditable. Zero breaches, zero data collection — that is the only acceptable standard for a tool that listens to your interviews.

vs LockedIn AI — $70/month for cloud lock-in

LockedIn AI is the most expensive tool in the category at $55–70/month. It locks you into a single cloud LLM with no option for local inference. Every transcript and response passes through their servers.

Natively supports every major model (Gemini, GPT, Claude, Groq) via bring-your-own-key, and offers 100% offline mode through Ollama. You pay only for the API tokens you actually use — or pay nothing at all by running Llama 3 locally. No subscription, no vendor lock-in.

vs Final Round AI — $149/month and visible to proctors

Final Round AI is the most expensive option at $149/month, optimized for pre-interview prep and mock interviews but with the slowest live latency in the category. Critically, its taskbar icon is visible to proctoring software, making it detectable during monitored interviews.

Natively delivers <500ms end-to-end latency using Rust-based native audio capture with Zero-Copy ABI Transfers. Its undetectable stealth mode hides from the dock, disguises process names, and syncs state across all windows — battle-tested and hardened across five major releases.

vs Pluely — lightweight but limited

Pluely is a solid lightweight alternative (~10MB, Tauri-based) and it has Linux support, which Natively does not yet offer. Credit where it is due.

But Pluely is a basic overlay. It has no local RAG, no meeting history, no dual audio channels, and no dashboard. Natively is a complete intelligence system: it remembers your past meetings via local vector search, separates system audio from your microphone, and gives you a full management dashboard with export to Markdown, JSON, and Text.

vs Interview Coder — More Powerful, Completely Free

Interview Coder is a paid tool focused specifically on coding interview assistance. Natively does everything Interview Coder does — and more — for free:

	Natively	Interview Coder
Price	✅ Free (BYOK)	❌ Paid
Open source	✅	❌
Works on LeetCode / HackerRank	✅	✅
Screenshot + OCR analysis	✅	✅
Real-time overlay	✅	✅
Local AI / offline mode	✅ Ollama	❌
Behavioral interview support	✅	❌
System design support	✅	❌
Meeting history & RAG	✅	❌
Any LLM (BYOK)	✅	❌ Locked
Data stored locally	✅	❌ Cloud

Natively covers the full interview loop — not just the coding round.

vs Parakeet AI — Memory and History vs Stateless Overlay

Parakeet AI offers basic live meeting assistance but has no persistent memory, no meeting history, and no local vector search. Natively remembers your past meetings via local RAG, lets you ask questions across all your history, and gives you a full dashboard to manage, export, and search everything.

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Where we're not there yet

• No Linux support — we are actively looking for maintainers to help bring Natively to Linux
• API key setup overhead — you need to bring your own API keys (or install Ollama), which adds initial setup friction compared to all-in-one cloud tools
• No built-in mock interview mode — Final Round AI has dedicated mock interview practice; Natively focuses on live, real-time assistance

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Why Natively?

While other tools act as simple API wrappers, Natively is a complete, native intelligence system designed specifically for high-stakes meetings and interviews.

• Native Audio Capture (<500ms): Built with Rust and Zero-Copy ABI transfers, bypassing generic web-audio limitations for ultra-low latency.
• Dual-Channel Intelligence: Distinct pipelines for system audio (what they say) and your microphone (what you dictate) ensuring perfect transcription without room noise.
• Battle-Tested Stealth Mode: Completely undetectable. Hides from the dock, disables popups, and disguises the process during screen sharing.
• Rolling Context: We don't just transcribe; we maintain a "memory window" of the conversation for smarter answers.
• Local RAG Memory: We embed your meetings locally using SQLite vector search so you can ask, "What did John say about the API last week?"
• Rich Dashboard: A full UI to manage, search, and export your history—not just a floating window.
• Fully Offline Capable: Don't trust the cloud? Run Natively 100% offline using local Ollama models with limited basic telemetry.

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Natively Pro

While Natively is free and open-source forever, we also offer a Pro Edition designed specifically for power users and job seekers. Purchasing a Pro license gives you an edge in the job market, all while directly supporting the continued development of the open-source Natively core!

Free vs Pro Feature Comparison

Feature	Natively Free	Natively Pro
Bring Your Own Key (BYOK) Models	✅	✅
Local AI Support (Ollama)	✅	✅
Real-Time Speech-to-Text (<500ms)	✅	✅
Live Contextual Assistant	✅	✅
Screenshot & Slide OCR Analysis	✅	✅
Undetectable & Stealth Modes	✅	✅
Meeting Dashboard & Offline RAG History	✅	✅
Job Description (JD) & Resume Context Awareness	❌	✅
Automated Company Research & Dossiers	❌	✅
Live Salary & Offer Negotiation Copilot	❌	✅
Priority Feature Access & Support	❌	✅

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What's New in v2.0.9

Version 2.0.9 delivers the fixes the root-cause audio transcription bug, hardens stealth and shortcuts, and integrates numerous community PRs.

• Fixed Audio Transcription: Resolved the root-cause zero-transcription bug — Deepgram was receiving raw PCM without encoding=linear16 in the WebSocket URL, causing an immediate upstream_closed loop with no output.
• Dual-Channel STT: System audio and microphone now connect to the Natively API simultaneously using per-channel session keys (system / mic), eliminating concurrent_session_blocked errors.
• LLM Resilience & Fallbacks: 60 s / 3-retry wrapper for OpenAI and 90 s / 3-retry wrapper for Claude; Natively API falls back to Gemini on failure; streamChat chain now tries Natively first across all call sites.
• STT Over-Billing Fixed: Removed duplicate mic-channel billing (was doubling every session); added 30 s minimum threshold for short reconnect sessions; replaced Math.ceil with Math.round for fairer rounding.
• Screen Recording Permission Flow: Proactive TCC dialog via desktopCapturer.getSources() before the audio pipeline starts; clear error when permission is denied or restricted instead of silent black frames.
• Dodo Payments Integration: Webhook processing with HMAC-SHA256 verification, 24 h idempotent replay guard, subscription.on_hold / subscription.failed handling, and correct plan detection via product-ID env vars.
• STT Key Pre-Population: Settings panel now correctly restores saved STT provider keys (Groq, OpenAI, Deepgram, ElevenLabs, Azure, IBM, Soniox) across provider switches.
• GoogleSTT Proactive Restart: Pre-emptive stream restart at 4 min 30 s avoids the hard 5-minute gRPC limit, eliminating the 1-second transcription gap in long sessions.
• REST STT Upload Size: Audio resampled to 16 kHz mono before upload — ~6× smaller files, reliably under the Groq/OpenAI 25 MB limit.
• Integrated Several PRs: napi-rs v3 migration for native audio, Windows header layout fix, platform-aware shortcut symbols in About section, TypeScript type-safety fixes across electron.d.ts, preload.ts, and ipcHandlers.ts.

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Table of Contents

• The free Cluely clone
• 3 things to know
• Demo
• Full comparison
• Why Natively wins
• Why Natively?
• Natively Pro
• What's New in v2.0.9
• Privacy & Security
• Installation
• AI Providers
• Key Features
• Meeting Intelligence Dashboard
• Roadmap
• Use Cases
• Technical Details
• Known Limitations
• Responsible Use
• Contributing
• License
• FAQ
• Alternatives Natively replaces
• Star History

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What Is Natively?

Natively is a desktop AI assistant for live situations:

• Meetings
• Interviews
• Presentations
• Classes
• Professional conversations

It provides:

• Live answers
• Rolling conversational context
• Screenshot and document understanding
• Real-time speech-to-text
• Instant suggestions for what to say next

All while remaining invisible, fast, and privacy-first.

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Privacy & Security (Core Design Principle)

• 100% open source (AGPL-3.0)
• Bring Your Own Keys (BYOK)
• Local AI option (Ollama)
• All data stored locally
• Limited telemetry (basic GA4 counts)
• No user data tracking
• No hidden uploads

You explicitly control:

• What runs locally
• What uses cloud AI
• Which providers are enabled

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Installation (Developers & Contributors)

[!NOTE]
macOS Users (Both Apple Silicon & Intel Macs supported):

1. "Unidentified Developer": If you see this, Right-click the app > Select Open > Click Open.

2. "App is Damaged": If you see this, run the command in Terminal based on your download:

   For .zip downloads:

   xattr -cr /Applications/Natively.app
   

   For .dmg downloads:

   1. Open Terminal and run:

      xattr -cr ~/Downloads/Natively-2.0.2-arm64.dmg # Or your specific filename
      

   2. Install the natively.dmg
   3. Open Terminal and run: xattr -cr /Applications/Natively.app

Prerequisites

• Node.js (v20+ recommended)
• Git
• Rust (required for native audio capture)

AI Credentials & Speech Providers

Natively is 100% free to use with your own keys.
Connect any speech provider and any LLM. No subscriptions, no markups, no hidden fees. All keys are stored locally.

Unlimited Free Transcription (Whisper, Google, Deepgram)

• Soniox (API Key) - Ultra-fast, highly accurate streaming STT
• Google Cloud Speech-to-Text (Service Account)
• Groq (API Key)
• OpenAI Whisper (API Key)
• Deepgram (API Key)
• ElevenLabs (API Key)
• Azure Speech Services (API Key + Region)
• IBM Watson (API Key + Region)

AI Engine Support (Bring Your Own Key)

Connect Natively to any leading model or local inference engine.

Provider	Best For
Gemini 3.1 Series	Recommended: Massive context window (2M tokens) & low cost.
OpenAI (GPT-5.4 & o3)	High reasoning capabilities.
Anthropic (Claude 4.6)	Coding & complex nuanced tasks.
Groq (Llama 3.3/Scout 4)	Insane speed (near-instant answers) & screenshot analysis.
Ollama / LocalAI	100% Offline & Private (No API keys needed).
OpenAI-Compatible	Connect to any custom endpoint (vLLM, LM Studio, etc.)

Note: You only need ONE speech provider to get started. We recommend Google STT ,Groq or Deepgram for the fastest real-time performance.

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To Use Google Speech-to-Text (Optional)

Your credentials:

• Never leave your machine
• Are not logged, proxied, or stored remotely
• Are used only locally by the app

What You Need:

• Google Cloud account
• Billing enabled
• Speech-to-Text API enabled
• Service Account JSON key

Setup Summary:

1. Create or select a Google Cloud project
2. Enable Speech-to-Text API
3. Create a Service Account
4. Assign role: roles/speech.client
5. Generate and download a JSON key
6. Point Natively to the JSON file in settings

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Development Setup

Clone the Repository

git clone https://github.com/evinjohnn/natively-cluely-ai-assistant.git
cd natively-cluely-ai-assistant

Install Dependencies

npm install

Build Native Audio Module (Rust)

npm run build:native

Environment Variables

Create a .env file:

# Cloud AI
GEMINI_API_KEY=your_key
GROQ_API_KEY=your_key
OPENAI_API_KEY=your_key
CLAUDE_API_KEY=your_key
GOOGLE_APPLICATION_CREDENTIALS=/absolute/path/to/service-account.json

# Speech Providers (Optional - only one needed)
DEEPGRAM_API_KEY=your_key
ELEVENLABS_API_KEY=your_key
AZURE_SPEECH_KEY=your_key
AZURE_SPEECH_REGION=eastus
IBM_WATSON_API_KEY=your_key
IBM_WATSON_REGION=us-south

# Local AI (Ollama)
USE_OLLAMA=true
OLLAMA_MODEL=llama3.2
OLLAMA_URL=http://localhost:11434

# Default Model Configuration
DEFAULT_MODEL=gemini-3.1-flash-lite-preview

Run (Development)

npm start

Build (Production)

npm run dist

This runs: Vite build → TypeScript compile → native module build → electron-builder

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AI Providers

• Custom (BYO Endpoint): Paste any cURL command to use OpenRouter, DeepSeek, or private endpoints.
• Ollama (Local): Zero-setup detection of local models (Llama 3, Mistral, Gemma).
• Dynamic Model Selection: Preferred models (OpenAI, Anthropic, Google) now automatically appear across the app.
• Google Gemini: First-class support for the Gemini 3.1 series.
• OpenAI: GPT-5.4 and o3 series support with optimized system prompts.
• Anthropic: Claude 4.6 series support with corrected max_tokens.
• Groq: Ultra-fast text inference with Llama 3.3, and screenshot analysis using Llama 4 Scout.

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Key Features

Invisible Desktop Assistant

• Always-on-top translucent overlay
• Instantly hide/show with shortcuts
• Works across all applications

Real-time Interview Copilot & Coding Help

• Real-time speech-to-text (<500ms latency)
• Fast Response Mode: Ultra-fast text responses using Groq Llama 3.3.
• Multilingual Support: Choose from various response languages, and set speech recognition matching specific accents and dialects.
• Anti-Chatbot / Human Persona System: Refined system prompts and negative constraints ensure responses are concise, conversational, and indistinguishable from a real candidate (no robotic preambles or lectures).
• Context-aware Memory (RAG) for Past Meetings
• Instant answers as questions are asked
• Interim/Final Bridging: Manual transcript finalization and interim bridging during recordings for higher accuracy.
• Smart recap and summaries

Instant Screen & Slide Analysis (OCR) — AI Coding Interview Assistant

• Works on LeetCode, HackerRank, CoderPad, Codility, HackerEarth and any browser-based coding environment
• Capture a coding problem with one shortcut — get a full solution, explanation, and complexity analysis instantly
• Invisible overlay never appears on screen share or recordings
• Multiple screenshot support for multi-part problems
• Smart fallback to Groq Llama 4 Scout if primary vision model fails

Premium Profile Intelligence

• Job Description & Resume Context: Natively understands your background and the role you're applying for to provide highly tailored, context-aware answers.
• Company Research: Get instant intelligence and dossiers on the company you are interviewing with.
• Negotiation Assistance: Real-time guidance and strategy during offer and salary negotiations.

Contextual Actions

• What should I answer?
• Shorten response
• Recap conversation
• Suggest follow-up questions
• Manual or voice-triggered prompts

Dual-Channel Audio Intelligence

Natively understands that listening to a meeting and talking to an AI are different tasks. We treat them separately:

• System Audio (The Meeting): Captures high-fidelity audio directly from your OS (fully supported on both macOS and Windows). It "hears" what your colleagues are saying without interference from your room noise.
• Sample Rate Auto-Detection: Dynamically detects and syncs true hardware sample rates (e.g., automatically handling 48kHz audio interfaces or external microphones without distortion or downsampling artifacts).
• Two-Stage Silence Processing: Combines adaptive RMS thresholds with WebRTC Machine Learning VAD to reject typing and fan noise.
• Microphone Input (Your Voice): A dedicated channel for your voice commands and dictation. Toggle it instantly to ask Natively a private question without muting your meeting software.

Spotlight Search & Customization

• Global activation shortcut (Cmd+K / Ctrl+K)
• Custom Key Bindings: Customize global shortcuts for easier control.
• Instant answer overlay
• Upcoming meeting readiness

Local RAG & Long-Term Memory

• Full Offline RAG: All vector embeddings and retrieval happen locally (SQLite + sqlite-vec).
• Semantic Search: innovative "Smart Scope" detects if you are asking about the current meeting or a past one.
• Sliding-Window RAG: 50-token semantic overlap to prevent context loss across chunk boundaries.
• Epoch Summarization: Smarter transcript memory management instead of hard truncation — no more losing early meeting context.
• Global Knowledge: Ask questions across all your past meetings ("What did we decide about the API last month?").
• Automatic Indexing: Meetings are automatically chunked, embedded, and indexed in the background.

Advanced Privacy & Stealth

• Undetectable Mode: Instantly hide from dock/taskbar with visually locked selector to prevent state mismatches.
• Cross-Window State Sync: Real-time state synchronization across Settings, Launcher, and Overlay windows.
• Process Disguise (Masquerading): Instantly change the app to look like Terminal, System Settings, Activity Monitor, or other harmless utilities to completely evade detection during screen sharing.
• Security Hardening: API keys are scrubbed from memory on app quit and credentials manager overwrites key data before disposal.
• API Rate Limiting: Token-bucket algorithm (burst/refill) to prevent 429 errors on free-tier providers.
• Local-Only Processing: All data stays on your machine.

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Meeting Intelligence Dashboard

Natively includes a powerful, local-first meeting management system to review, search, and manage your entire conversation history.

• Meeting Archives: Access full transcripts of every past meeting, searchable by keywords or dates.
• Smart Export: One-click export of transcripts and AI summaries to Markdown, JSON, or Text—perfect for pasting into Notion, Obsidian, or Slack.
• Usage Statistics: Track your token usage and API costs in real-time. Know exactly how much you are spending on Gemini, OpenAI, or Claude.
• Audio Separation: Distinct controls for System Audio (what they say) vs. Microphone (what you dictate).
• Session Management: Rename, organize, or delete past sessions to keep your workspace clean.

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Roadmap

timeline
    title Natively Product Roadmap
    section Short-term (1-3 mos)
        System Design : Visualization MVP
        Personas : Basic system (3-5 personas)
        Tokens : Integration POC
    section Medium-term (3-6 mos)
        Personas : Full library
        System Design : Advanced diagram types
        Tokens : Community features
        Platform : Mobile app development
    section Long-term (6+ mos)
        Collaboration : Collaborative features
        Ecosystem : Plugin ecosystem
        Platform : Multi-language support

---

Use Cases

Academic & Learning

• Live Assistance: Get explanations for complex lecture topics in real-time.
• Translation: Instant language translation during international classes.
• Problem Solving: Immediate help with coding or mathematical problems.

Professional Meetings

• Interview Support: Context-aware prompts to help you navigate technical questions.
• Sales & Client Calls: Real-time clarification of technical specs or previous discussion points.
• Meeting Summaries: Automatically extract action items and core decisions.

Development & Technical Work

• Code Insight: Explain unfamiliar blocks of code or logic on your screen.
• Debugging: Context-aware assistance for resolving logs or terminal errors.
• Architecture: Guidance on system design and integration patterns.

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Architecture Overview

Natively processes audio, screen context, and user input locally, maintains a rolling context window, and sends only the required prompt data to the selected AI provider (local or cloud).

No raw audio, screenshots, or transcripts are stored or transmitted unless explicitly enabled by the user.

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Technical Details

Tech Stack

• React, Vite, TypeScript, TailwindCSS
• Electron
• Rust (native audio with Zero-Copy ABI Transfers via napi::Buffer — enabling continuous audio capture without V8 garbage collection pressure, achieving significantly lower latency and CPU usage than typical Electron-based competitors)
• SQLite (local storage with sqlite-vec)

Supported Models

• Gemini 3.1 Series
• OpenAI (GPT-5.4, o3 series)
• Claude (4.6 series)
• Ollama (Llama, Mistral, CodeLlama)
• Groq (Llama 3.3 for text, Llama 4 Scout for OCR)

System Requirements

• Minimum: 4GB RAM
• Recommended: 8GB+ RAM
• Optimal: 16GB+ RAM for local AI

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Responsible Use

Natively is intended for:

• Learning
• Productivity
• Accessibility
• Professional assistance

Users are responsible for complying with:

• Workplace policies
• Academic rules
• Local laws and regulations

This project does not encourage misuse or deception.

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Known Limitations

• Linux support is limited and actively looking for maintainers
• Initial setup requires bringing your own API keys or installing Ollama
• No built-in mock interview mode (focus is on live, real-time assistance)

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Contributing

Contributions are welcome! Please see our CONTRIBUTING.md for full guidelines on how to get started.

• Bug fixes
• Feature improvements
• Documentation
• UI/UX enhancements
• New AI integrations

Quality pull requests will be reviewed and merged.

Maintainers

Maintainer	Role	Support
@evinjohnn	macOS Build
@razllivan	Windows Build

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License

Licensed under the GNU Affero General Public License v3.0 (AGPL-3.0).

If you run or modify this software over a network, you must provide the full source code under the same license.

This repository contains the open-source core of the project.

Some features available in official releases are part of the
commercial Premium Edition and are not included in this repository.

Note: This project is available for sponsorships, ads, or partnerships – perfect for companies in the AI, productivity, or developer tools space.

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Star this repo if Natively helps you succeed in meetings, interviews, or presentations!

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FAQ

Is Natively really free?

Yes. Natively is an open-source project. You only pay for what you use by bringing your own API keys (Gemini, OpenAI, Anthropic, etc.), or use it 100% free by connecting to a local Ollama instance.

Does Natively work with Zoom, Teams, and Google Meet?

Yes. Natively uses a Rust-based system audio capture that works universally across any desktop application, including Zoom, Microsoft Teams, Google Meet, Slack, and Discord.

Is my data safe?

Natively is built on Privacy-by-Design. All transcripts, vector embeddings (Local RAG), and keys are stored locally on your machine. We have no backend and collect only limited basic telemetry (no user data).

Can I use it for technical interviews?

Natively is a powerful assistant for any professional situation. However, users are responsible for complying with their company policies and interview guidelines.

How do I use local models?

Simply install Ollama, run a model (e.g., ollama run llama3), and Natively will automatically detect it. Enable "Ollama" in the AI Providers settings to switch to offline mode.

How does Natively compare to Cluely?

Cluely is a $20/month cloud-based tool that stores all data on their servers. In mid-2025, Cluely suffered a data breach that exposed personal information, transcripts, and screenshots of 83,000 users. Natively is free, open-source, and stores everything locally. It supports any LLM (not just one vendor), offers local AI via Ollama, and has battle-tested stealth mode. Natively has never had a data breach because there is no server to breach.

Is stealth mode actually undetectable?

Yes. Natively hides from the dock, disguises process names as harmless system utilities (Terminal, Activity Monitor, System Settings), and syncs state across all windows. It has been hardened across five major releases and tested against screen share detection in Zoom, Teams, and Google Meet.

Does Natively work on LeetCode and HackerRank?

Yes. Natively's screenshot + OCR captures any visible coding problem and returns a full solution through the invisible overlay. It works on LeetCode, HackerRank, CoderPad, Codility, HackerEarth, Karat, and any browser-based coding environment.

Is Natively detectable during coding interviews?

For standard online assessments (LeetCode, HackerRank, CoderPad, etc.), Natively is not detectable — it runs as a disguised system process and the overlay never appears in screen recordings or screen shares. It is not designed to bypass dedicated proctoring software like Pearson VUE, ProctorU, or Respondus Lockdown Browser, which operate at the OS level.

Is Natively a free alternative to Interview Coder?

Yes. Natively does everything Interview Coder does — screenshot OCR, real-time coding assistance, invisible overlay — and adds behavioral interview support, system design help, local RAG memory, and any-LLM BYOK. All for free.

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Alternatives Natively Replaces

Natively is a free, open-source alternative to:

Tool	What Natively replaces
Cluely	Real-time AI meeting copilot — without the $20/mo fee or data breach risk
Final Round AI	Live AI interview copilot — without the $149/mo fee or proctor-visible taskbar icon
LockedIn AI	Real-time interview assistant — without cloud lock-in or $70/mo
Interview Coder	AI coding interview helper — with full meeting context, not just coding rounds
Parakeet AI	Live meeting assistant — with local RAG memory and full history dashboard
Metaview	Automated meeting notes — open-source and locally stored
Otter.ai	Transcription and meeting summaries — without cloud storage
Fireflies.ai	Meeting recorder and AI notetaker — fully local storage
Teal	Job search and interview assistant — fully local and free

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ai-assistant · meeting-notes · interview-helper · cluely-alternative · cluely · lockhead-ai · lockheed-ai · parakeet-ai · interview-coder · final-round-ai · metaview-alternative · otter-ai-alternative · fireflies-alternative · local-ai · ollama · electron · privacy-first · open-source · real-time-transcription · interview-copilot · ai-meeting-assistant · moltbot

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Support Natively

The community around Natively created a Pump.fun token to support the project.

Creator rewards help cover AI/API bills and ongoing development costs.

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Star History

_{free-ai-interview-copilot · open-source-cluely · cluely-alternative · cluely-clone · interview-coder-alternative · final-round-ai-alternative · lockedin-ai-alternative · ai-interview-assistant · real-time-interview-ai · undetectable-interview-ai · stealth-mode · local-ai · ollama · byok · rag · electron · rust · privacy-first · meeting-assistant · interview-helper · open-source-interview-ai}