head to head · open source

nanobot vs Pearl

nanobot has 49,834 GitHub stars, 8,712 forks, 775 open issues and last shipped today. Pearl has 1,098 stars, 181 forks, 40 open issues and last shipped 6 months ago. nanobot leads on adoption by 4,439% (49,834 vs 1,098 stars). nanobot is written in Python under MIT; Pearl is written in TypeScript under Apache-2.0. nanobot has attracted 17% as many forks as stars, Pearl 16%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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.

nanobot ★ 50K Pearl ★ 1.1K category AI & Machine Learning

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Side by side

nanobot Pearl
GitHub stars ★ 50K ★ 1.1K
License MIT Apache-2.0
Written in Python TypeScript
Last push 2026-11-05 2026-04-30
Forks ⑂ 8.7K ⑂ 181
Self-hosting Yes Yes
Data ownership Your server Your server

pick nanobot if

  • You weight community size — 50K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full nanobot 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 nanobot

English 简体中文 繁體中文 Español Français Bahasa Indonesia 日本語 한국어 Русский Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long term memory, MCP integrations, model routing, multi agent delegation, scheduled automation, and an OpenAI compatible API in a small, readable core. Start Here What can nanobot do? nanobot is a self hosted personal AI agent runtime. It can: run in a browser WebUI or terminal connect to Telegram, Discord, Slack, WeChat, Email…

read the full nanobot 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 nanobot or Pearl more popular?

nanobot has 49,834 GitHub stars and Pearl has 1,098. nanobot has the larger community by that measure.

Are nanobot and Pearl free?

Both are open source. nanobot is licensed under MIT and Pearl under Apache-2.0. Neither carries a licence fee.

What is the difference between nanobot and Pearl?

nanobot is written in Python 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, nanobot or Pearl?

Choose nanobot if you want the larger community (49,834 stars) or its MIT licence terms. Choose Pearl if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.