head to head · open source

LobeChat vs Pearl

LobeChat has 83,716 GitHub stars, 16,033 forks, 922 open issues and last shipped yesterday. Pearl has 1,097 stars, 181 forks, 40 open issues and last shipped 6 months ago. LobeChat leads on adoption by 7,531% (83,716 vs 1,097 stars). LobeChat is written in TypeScript under a custom or non-standard licence; Pearl is written in TypeScript under Apache-2.0. LobeChat has attracted 19% as many forks as stars, Pearl 16%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

LobeChat ★ 84K Pearl ★ 1.1K category AI & Machine Learning

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Side by side

LobeChat Pearl
GitHub stars ★ 84K ★ 1.1K
License Custom / other Apache-2.0
Written in TypeScript TypeScript
Last push 2026-11-02 2026-04-30
Forks ⑂ 16K ⑂ 181
Self-hosting Yes Yes
Data ownership Your server Your server

pick LobeChat if

  • You weight community size — 84K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full LobeChat profile →

pick Pearl if

  • You want the Pearl feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and Pearl fits your workflow better

full Pearl profile →

About LobeChat

[![][image banner]][vercel link] LobeHub LobeHub organizes your agents into 7×24 operation. It hires, schedules, reports on your entire AI team. You stay in charge — without staying online. English · 简体中文 · [Official Site][official site] · [Changelog][changelog] · [Documents][docs] · [Blog][blog] · [Feedback][github issues link] [![][github release shield]][github release link] [![][docker release shield]][docker release link] [![][vercel shield]][vercel link] [![][discord shield]][discord link] [![][codecov shield]][codecov link] [![][github action test shield]][github action test link] [![][github action…

read the full LobeChat overview →

About Pearl

Bubble Lab Open core workflow engine powering Bubble Lab — and fully runnable, hostable, and extensible on its own. Use Bubble Lab Platform • View Demos • Documentation Editing Workflows Running Workflows 📋 Overview Bubble Lab is a Slack native AI operator platform that helps teams automate operational work directly inside Slack using Pearl, its AI assistant. Instead of switching between tools, teams can ask Pearl to execute workflows, access systems, and perform tasks across their stack. This repository contains the open core workflow engine that powers the Bubble Lab platform . It is the same execution engine…

read the full Pearl overview →

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Frequently asked questions

Is LobeChat or Pearl more popular?

LobeChat has 83,716 GitHub stars and Pearl has 1,097. LobeChat has the larger community by that measure.

Are LobeChat and Pearl free?

Both are open source. LobeChat has no licence declared in this registry, and Pearl is licensed under Apache-2.0. Both are free to self-host.

What is the difference between LobeChat and Pearl?

LobeChat is written in TypeScript and Pearl in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, LobeChat or Pearl?

Choose LobeChat if you want the larger community (83,716 stars) or its Custom / other licence terms. Choose Pearl if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.