Cluely - Live AI Meeting Assistant | Real-Time Meeting Notes and AI Insights vs GitHub - ItzCrazyKns/Vane: Vane is an AI-powered answering engine.

# Cluely vs Vane: Choosing Between Real-Time Meeting Assistance and Private AI Search

When evaluating AI productivity tools, it is crucial to distinguish between solutions designed for synchronous collaboration and those optimized for asynchronous research. Cluely and Vane represent two distinct categories of AI utility. Cluely focuses on enhancing live video conferences with real-time transcription and contextual support, while Vane provides a private, self-hosted alternative to public AI search engines by combining Large Language Models (LLMs) with web search capabilities.

## Core Functionality Comparison

### Cluely: The Undetectable Meeting Companion

Cluely is engineered specifically for video conferencing platforms such as Zoom, Microsoft Teams, and Google Meet. Its primary value proposition is "undetectability." Unlike traditional bots that join meetings as participants, Cluely operates as a floating window on the user's device. This ensures that:

* **Privacy in Interface:** Other participants do not see a bot in the attendee list, avoiding awkwardness or security warnings.

* **Screen Share Safety:** The Cluely window is invisible during screen sharing, allowing users to view sensitive AI-generated notes or prompts without exposing them to the audience.

* **Real-Time Contextual Aid:** Users can ask questions via keyboard shortcuts (e.g., Cmd/Ctrl + Enter) to get instant summaries, response suggestions, or clarifications based on the ongoing conversation.

Cluely supports over 12 languages and offers low-latency transcription (claimed at ~300ms), making it ideal for sales teams, executives, and global collaborators who need to stay engaged without the cognitive load of note-taking.

### Vane: The Self-Hosted Privacy-First Search Engine

Vane is an open-source project hosted on GitHub ([ItzCrazyKns/Vane](https://github.com/ItzCrazyKns/Vane)) that serves as an AI-powered answering engine. It integrates SearXNG, a privacy-respecting metasearch engine, with LLMs using Retrieval-Augmented Generation (RAG).

* **Data Sovereignty:** Vane allows users to self-host the application, ensuring that search queries and generated answers remain on local infrastructure. This is critical for organizations with strict data compliance requirements.

* **Context-Aware Answers:** Instead of returning a list of links, Vane synthesizes information from multiple web sources into direct, coherent answers.

* **Customizability:** As an open-source tool, developers can modify the code, integrate custom LLMs, and tailor the search aggregation logic to specific needs.

Vane is best suited for developers, researchers, and privacy advocates who require deep, accurate information retrieval without relying on commercial AI services that may track user data.

## Use Case Analysis

| Feature | Cluely | Vane |

| :--- | :--- | :--- |

| **Primary Domain** | Video Conferencing & Meetings | Web Search & Information Retrieval |

| **Deployment** | SaaS (Cloud-based) | Self-Hosted (Local/Docker) |

| **Key Benefit** | Real-time assistance during live calls | Complete data privacy and control |

| **Target Audience** | Sales, Management, Global Teams | Developers, Researchers, Privacy Advocates |

| **Integration** | Zoom, Teams, Google Meet, Slack | SearXNG, Custom LLMs |

| **Cost Model** | Subscription-based | Free (Open Source) + Infrastructure Costs |

## Verdict

Choose **Cluely** if your priority is improving efficiency and focus during live video meetings. It solves the problem of multitasking during calls by providing silent, real-time support without disrupting the meeting dynamic.

Choose **Vane** if your priority is data privacy and independent research. It is the superior choice for individuals and organizations that refuse to send query data to third-party AI providers and require customizable, self-hosted search solutions.

These tools address different pain points; they are not direct competitors but rather complementary assets depending on whether your workflow is collaborative (meetings) or investigative (research).