Introducing Conversate: A Real-Time AI Co-Pilot for Mac & Windows

If you spend a significant amount of time in remote meetings, conducting interviews, or listening to live streams, you know the friction of trying to take notes while actually staying present in the conversation. I wanted a tool that didn't just record what was being said, but actively helped me understand and synthesize it on the fly.
Today, I’m open-sourcing Conversate (v1.1.0), a desktop utility I built to act as a real-time conversational co-pilot for both Mac and Windows.
Building this was a deep dive into rapid prototyping and vibe coding—pushing the limits of what AI-assisted development environments can do when bridging local hardware APIs with blazing-fast cloud intelligence.

What does it do?

At its core, Conversate captures dual-channel audio—your local microphone and your system's internal loopback audio—simultaneously, without requiring any third-party virtual audio cables. It streams this to Deepgram to generate a live, speaker-diarized transcript.
But transcription is just the foundation. The real magic happens with the AI integration:

• Proactive Context Cues: As people speak, a background engine analyzes a sliding window of the transcript. Without you ever typing a prompt, it surfaces relevant concepts, entity bios, or quick answers directly on your screen.
  
• Universal AI Support: You bring your own API keys. It supports Google Gemini, but you can seamlessly switch to any OpenAI-compatible endpoint. Point it at Groq's Llama 3 models, for example, and you get near-instantaneous proactive cues that easily bypass standard rate limits.
  
• Intelligent Summaries: The moment you hit stop, the app processes the raw, unpunctuated speech into properly capitalized, formatted paragraphs. It groups thoughts by speaker and generates a structured summary with actionable next steps.
  
• Local & Private: Everything is saved locally to your Documents folder as Markdown logs, complete with a one-click PDF export. Your audio goes to your transcription provider, and your text goes to your LLM. Nothing is stored on external databases.
  

The Build Process

The biggest hurdle during development wasn't just mixing the audio streams; it was making the intelligence efficient. Early builds hammered the LLM with every spoken sentence, which immediately triggered rate limits.
The breakthrough was designing an intelligent local heuristic—a pre-flight check that only pings the AI when actual context is needed. Pairing this with a beautifully native Light/Dark mode UI in Electron resulted in a cross-platform desktop utility that feels incredibly responsive and native to your operating system, whether you're on a Mac or a PC.

Try it out

If you want to give it a spin, the project is completely open-source.

1. Head over to the GitHub Releases page.
   
2. Download the installer for your system: Conversate-1.1.0-arm64.dmg for Mac, or Conversate-1.1.0-Setup.exe for Windows.
   
3. Install the app, plug in your API keys in the Settings, and start capturing.