Record. Transcribe. Flow.

---

Scriba is an agent that turns your recordings into a searchable, queryable knowledge base and lets you ask questions across all of it. It builds a persistent knowledge graph so the agent always has context, not just the last thing you said.

Run entirely offline with local STT models (Parakeet, Whisper, SenseVoice) + Ollama, or bring your own AI providers (OpenAI, Anthropic, Google).

How it works

1. Record — capture your microphone or system audio
2. Transcribe — local STT models (Parakeet, Whisper, SenseVoice) or the OpenAI API
3. Enrich — an LLM extracts summaries, topics, entities, and action items from every recording
4. Ask — an agent reasons across your entire history to answer questions, find connections, and take action

Get started

Requirements: FFmpeg and (optionally) Ollama for Private mode.

macOS

brew install ffmpeg
brew tap giovannialberto/scriba
brew install scriba

Linux

# Install dependencies (Debian/Ubuntu)
sudo apt install ffmpeg libasound2-dev

# Install scriba
curl -fsSL https://raw.githubusercontent.com/giovannialberto/scriba/main/install.sh | sh

For Fedora/RHEL: sudo dnf install ffmpeg alsa-lib-devel. For Arch: sudo pacman -S ffmpeg alsa-lib.

You can also grab a binary directly from Releases.

Run

scriba

On first run, Scriba walks you through an onboarding flow to choose your mode and configure your setup. Then Ctrl+R to record.

Ask Scriba

Ask "what did we decide in last Tuesday's call?" or "who has mentioned the Q2 roadmap?" and Scriba will search your transcripts, look up entities, and chain tool calls to get to a real answer. Ask from the home to query your entire history, or from within a transcript for recording-specific context.

MCP server

Scriba exposes your recordings to Claude Desktop via the Model Context Protocol:

{
  "mcpServers": {
    "scriba": { "command": "scriba", "args": ["mcp"] }
  }
}

Add to your Claude Desktop config:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

License

MIT — Copyright (c) 2026 Giovanni Alberto Falcione