head to head · open source
Tolaria vs SurfSense
Tolaria has 20,423 GitHub stars, 1,409 forks, 49 open issues and last shipped yesterday. SurfSense has 16,717 stars, 1,597 forks, 130 open issues and last shipped yesterday. Tolaria leads on adoption by 22% (20,423 vs 16,717 stars). Tolaria is written in TypeScript under AGPL-3.0; SurfSense is written in Python under Apache-2.0. Tolaria has attracted 7% as many forks as stars, SurfSense 10%. Tolaria was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Tolaria | SurfSense | |
|---|---|---|
| GitHub stars | ★ 20K | ★ 17K |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.4K | ⑂ 1.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Tolaria if
- You weight community size — 20K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick SurfSense if
- You want the SurfSense feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and SurfSense fits your workflow better
About Tolaria
💧 Tolaria Tolaria is a desktop app for macOS, Windows, and Linux for managing markdown knowledge bases . People use it for a variety of use cases: Operate second brains and personal knowledge Organize company docs as context for AI Store OpenClaw/assistants memory and procedures Personally, I use it to run my life (hey 👋 Luca here). I have a massive workspace of 10,000+ notes, which are the result of my Refactoring work + a ton of personal journaling and second braining . Sponsors Tolaria is supported by a small panel of tools that help keep the project healthy, tested, and ready for AI assisted development. I…
read the full Tolaria overview →
About SurfSense
English Español Português हिन्दी 简体中文 SurfSense: The Open Source NotebookLM Alternative for Open Web Research SurfSense is the open source NotebookLM alternative for AI agents , an open web research platform with live data connectors. Your agents research the live web with structured data from Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, Indeed, and any page on the open web , through one REST API or MCP server . Scheduled and event triggered agents turn what they find into briefs and alerts, and a built in knowledge base keeps every finding searchable with citations. [!NOTE]…
read the full SurfSense overview →
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Frequently asked questions
Is Tolaria or SurfSense more popular?
Tolaria has 20,423 GitHub stars and SurfSense has 16,717. Tolaria has the larger community by that measure.
Are Tolaria and SurfSense free?
Both are open source. Tolaria is licensed under AGPL-3.0 and SurfSense under Apache-2.0. Neither carries a licence fee.
What is the difference between Tolaria and SurfSense?
Tolaria is written in TypeScript and SurfSense in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Tolaria or SurfSense?
Choose Tolaria if you want the larger community (20,423 stars) or its AGPL-3.0 licence terms. Choose SurfSense if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.