Interview Assistant
Top open-source Interview Assistant AI systems, agents, and MCP tools.
Discover and install verified Interview Assistant AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (7)
Open in Advanced FilterOpen-source AI assistant for meetings and interviews: on-device speech recognition, instant answers, hidden from screen sharing. Windows, macOS, Linux. A Cluely alternative.
识屏 Shiping:截屏 + AI,看懂屏幕上的任何内容。代码、报错、题目、图表、外文资料,按快捷键截下图就有解答。可作为桌面工具常驻后台,随时框选识别。对话模式实时听懂问题、给出回答要点。可用作桌面工具、面试助手、考试助手、刷题助手。
Free macOS-native Cluely alternative. AI chat invisible to screen sharing. Ollama, OpenAI, Claude. Swift. No Electron. No subscription.
An undetectable AI assistant that lives on your screen. Solves problems, answers questions, analyzes screenshots — invisible to everyone but you.
The Open Source Alternative to Cluely - A lightning-fast, privacy-first AI assistant that works seamlessly during meetings, interviews, and conversations without anyone knowing. Built with Tauri for native performance, just 10MB. Completely undetectable in video calls, screen shares, and recordings.
Natively — Free open-source AI meeting assistant, interview copilot, and note taker. The best alternative to Cluely, Otter, Granola, Final Round AI, Fireflies, and Interview Coder. Real-time transcription, AI meeting notes, lecture recording, local RAG, BYOK, and stealth mode. Runs locally. No subscriptions. No data breaches.
Natively - Free open-source AI interview copilot & meeting assistant. The best Cluely alternative, Final Round AI alternative, and Interview Coder alternative. Real-time transcription, undetectable stealth mode, local RAG, BYOK. No subscriptions. No data breaches.
Build & Monetize for Interview Assistant
Have you created an autonomous agent, MCP server, or Claude Code skill for Interview Assistant? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

