head to head · open source
Tolaria vs iwe
Tolaria has 20,468 GitHub stars, 1,412 forks, 49 open issues and last shipped 2 days ago. iwe has 1,816 stars, 94 forks, 1 open issues and last shipped 3 days ago. Tolaria leads on adoption by 1,027% (20,468 vs 1,816 stars). Tolaria is written in TypeScript under AGPL-3.0; iwe is written in Rust under Apache-2.0. Tolaria has attracted 7% as many forks as stars, iwe 5%. 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 | iwe | |
|---|---|---|
| GitHub stars | ★ 20K | ★ 1.8K |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | TypeScript | Rust |
| Last push | 2026-11-06 | 2026-11-05 |
| Forks | ⑂ 1.4K | ⑂ 94 |
| 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 iwe if
- You want the iwe feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and iwe 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 iwe
IWE Memory system for you and your AI agents Turn your thinking into queryable context IWE turns a directory of markdown files into a knowledge graph — a connected structure you browse from your editor and your AI queries from the command line. Same files, same links, two interfaces. No cloud, no database, no lock in. Version everything with git. IWE is for people who want database style queries on their notes — "all drafts under this subtree", "every accepted decision in Q1" — without moving them into an actual database. Write in Markdown , structure with links, give AI agents the tools to navigate your…
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Frequently asked questions
Is Tolaria or iwe more popular?
Tolaria has 20,468 GitHub stars and iwe has 1,816. Tolaria has the larger community by that measure.
Are Tolaria and iwe free?
Both are open source. Tolaria is licensed under AGPL-3.0 and iwe under Apache-2.0. Neither carries a licence fee.
What is the difference between Tolaria and iwe?
Tolaria is written in TypeScript and iwe in Rust. 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 iwe?
Choose Tolaria if you want the larger community (20,468 stars) or its AGPL-3.0 licence terms. Choose iwe if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.