Audio & Voice · GitHub ·254 ★

project-raven

Open-source AI meeting copilot - real-time transcription, echo cancellation, and AI assistance. Captures system audio + mic, cancels echo via WebRTC AEC3, transcribes with Deepgram, and gives you Claude/OpenAI help during meetings. Runs locally on macOS and Windows.

Details

Author
Laxcorp-Research
Category
Audio & Voice
Platform
GitHub
Framework
openai
Language
typescript
Stars
254
First indexed
2026-05-15
Last active
2026-04-09
Directory sync
2026-05-15

Overview

Open-source AI meeting copilot - real-time transcription, echo cancellation, and AI assistance. Captures system audio + mic, cancels echo via WebRTC AEC3, transcribes with Deepgram, and gives you Claude/OpenAI help during meetings. Runs locally on macOS and Windows.

Quick start

git

git clone https://github.com/Laxcorp-Research/project-raven

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What project-raven can do

  • Hr — Handles people operations such as hiring and policy Q&A.
  • Meeting — meeting task automation.
  • Audio — Transcribes, generates, or transforms audio.
  • Transcri — transcri task automation.
  • Speech — Converts between speech and text.

Frequently asked questions

What is project-raven?
Open-source AI meeting copilot - real-time transcription, echo cancellation, and AI assistance. Captures system audio + mic, cancels echo via WebRTC AEC3, transcribes with Deepgram, and gives you Claude/OpenAI help during meetings. Runs locally on macOS and Windows.
How do I install project-raven?
Use git: `git clone https://github.com/Laxcorp-Research/project-raven`. Full setup details on the source page linked above.
Is project-raven open source?
project-raven is published on GitHub.
What are alternatives to project-raven?
Comparable agents include ChatTTS, rasa, CosyVoice. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for project-raven is sourced from GitHub, published by Laxcorp-Research.

Last scraped: · First indexed:

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