head to head · open source
Tolaria vs SurfSense
Tolaria has 19,807 GitHub stars, 1,381 forks, 49 open issues and last shipped yesterday. SurfSense has 16,159 stars, 1,537 forks, 130 open issues and last shipped yesterday. Tolaria leads on adoption by 23% (19,807 vs 16,159 stars). Tolaria is written in TypeScript under AGPL-3.0; SurfSense is written in Python under a custom or non-standard licence. Tolaria has attracted 7% as many forks as stars, SurfSense 10%. SurfSense 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 | ★ 16K |
| License | AGPL-3.0 | Custom / other |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 1.4K | ⑂ 1.5K |
| 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 Custom / other license terms
- Your stack matches Python
- You evaluated both and SurfSense fits your workflow better
About Tolaria
Tolaria is an open source desktop application for macOS, Windows, and Linux, written in TypeScript and licensed under AGPL 3.0. It manages markdown knowledge bases as local files, with each vault stored as a Git repository. The project lives in the personal knowledge management ecosystem as a local first, Git native tool for second brains, company documentation used as AI context, and assistant memory or procedures.
read the full Tolaria overview →
About SurfSense
SurfSense is an open source NotebookLM alternative and privacy first knowledge base that can work with any AI model chosen by the user. It is a Python productivity and knowledge management project in the agent, RAG, LangChain, LangGraph, FastAPI, Next.js, and Ollama ecosystem. The project presents itself as an open web research platform for AI agents, with live data connectors and a built in knowledge base that keeps findings searchable with citations.
read the full SurfSense overview →
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Frequently asked questions
Is Tolaria or SurfSense more popular?
Tolaria has 19,807 GitHub stars and SurfSense has 16,159. 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 has no licence declared in this registry. Both are free to self-host.
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 (19,807 stars) or its AGPL-3.0 licence terms. Choose SurfSense if its feature set, stack or Custom / other licence fits better. Both are self-hostable.