Granola vs Gistlist: a side-by-side comparison

Updated April 2026

Granola and Gistlist are both AI meeting notetakers for macOS. Granola is a hosted product: it processes audio for transcription without retaining recordings, and stores the resulting notes and transcripts on Granola's servers, with team features and tiered pricing on top. Gistlist is a local-first, source-available desktop app that keeps recordings, transcripts, and summaries on your disk and integrates with Claude Desktop over a local MCP server.

What each tool does

Granola describes itself as “the AI Notepad for back-to-back meetings.” It captures your computer’s audio during a call, processes that audio through its hosted pipeline to produce AI notes from a template, and supports team sharing through Notion, Slack, HubSpot, and similar destinations. Per Granola’s security docs, audio is processed for transcription but not retained as a saved recording; the resulting notes and transcripts live on Granola’s servers.

Gistlist records mic and system audio to disk, transcribes locally on Apple Silicon with Parakeet (or via OpenAI if you choose that in the Setup Wizard), and runs prompts through local Ollama (default), Anthropic Claude, or OpenAI. Outputs are plain markdown files in a folder you choose. There is no Gistlist server and no Gistlist account; the only outbound calls are to whichever cloud LLM/ASR provider you’ve selected, using your own API key.

The two tools sit on opposite ends of the storage axis. Granola optimizes for team workflows on top of hosted notes. Gistlist optimizes for individual workflows on top of local files — including keeping the original recordings, which Granola does not.

Where they differ

	Granola	Gistlist
What's stored & where	Notes & transcripts on Granola's servers; recordings not retained	Recordings, transcripts, summaries on your disk (default `~/Documents/Gistlist/`)
Transcription	Hosted, on Granola's infrastructure	Parakeet on Apple Silicon (default, local) or OpenAI Whisper (cloud)
LLM provider	Granola-managed	Local Ollama (default), Anthropic Claude (your API key), or OpenAI
Platforms	Mac/Windows desktop, iPhone, web (notes.granola.ai)	macOS only
Team / sharing	Shared folders, Notion / Slack / HubSpot / Zapier integrations	None built in — files on disk; sync via Obsidian, Dropbox, etc. if you want
Pricing	Free Basic, $14/user/mo Business, $35/user/mo Enterprise	Free for personal use
Source available	No	Yes (FSL-1.1-ALv2)
Claude / MCP integration	Hosted MCP server; Basic tier limited to ~30 days of history, paid plans full history	Local MCP server, included by default; full history

A note on pricing accuracy: numbers above are from granola.ai/pricing as of April 2026. Granola revises pricing periodically; verify there if exact figures matter to you.

Choose Granola if

You’re working with a team and want shared meeting folders, comments, and templated workflows.
You already live in Notion, Slack, or HubSpot and want notes flowing into them automatically.
You want a polished web app you can open from any browser.
You’re on Windows or want an iPhone companion.
A monthly per-seat subscription is comfortable for you and your team.

Choose Gistlist if

You want the original recordings kept on your disk, not just notes/transcripts on someone else’s server.
You’re on a Mac and want a configuration that runs the whole record-to-summary pipeline on your machine, including offline (Parakeet + Ollama).
You want your meeting notes as plain markdown files in a folder you control (drop them into an Obsidian vault if that’s where you work).
You want to query your meeting history through Claude Desktop without that query path going through a hosted notes service. (More on that in what is MCP?)
You’d rather use your own Anthropic / OpenAI API key — billing your own cloud relationship — than pay per seat for an all-in-one product.
You want to read or modify the source. Gistlist is source-available; Granola is not.

Both, not either

Nothing prevents you from using both. Some teams record formal customer calls in Granola for shared visibility and use Gistlist for 1:1s, internal syncs, and personal recall — anything that benefits from staying off a shared system. The choice isn’t binary; it’s about which workflow each kind of meeting belongs to.

Frequently asked questions

Is Gistlist free?

Yes, for personal use. Gistlist is source-available under the FSL-1.1-ALv2 license — you can read, use, and modify it. The license restricts commercial competing use; everything else, including internal use at a company, is allowed.

How much does Granola cost?

Granola has a free Basic tier with limited meeting history, a Business tier at $14 per user per month, and an Enterprise tier at $35 per user per month. Pricing is current as of April 2026 — check granola.ai/pricing for the latest.

Does Granola support Claude?

Yes, through Granola's hosted MCP server. Per Granola's MCP help docs, free Basic users can query notes from roughly the last 30 days; paid plans (Business and Enterprise) can query the full history. Either way, the MCP server is hosted on Granola's infrastructure — queries go over the network to Granola. Gistlist's MCP server runs locally on your machine and reads a local SQLite index.

Can I export Granola notes to markdown?

Granola supports sharing notes to external destinations like Notion, Slack, and email. Export semantics depend on the integration. Gistlist writes markdown to disk by default — every meeting is already a plain .md file.

Does Gistlist have a web app or Windows version?

No. Gistlist is a macOS-only desktop app. Granola has a downloadable app, an iPhone app, and a notes web app at notes.granola.ai.

Which one runs offline?

Gistlist can — and does by default. The Setup Wizard's default LLM is local Ollama, so paired with Parakeet on Apple Silicon for transcription, the whole record-to-summary pipeline runs without an internet connection out of the box. You can switch the LLM provider to Anthropic Claude or OpenAI in Settings if you'd rather use a cloud model with your own API key. Granola is a hosted product and depends on connectivity for processing.

← All notes