head to head · open source

claude-mem vs PaddleOCR

claude-mem has 110,572 GitHub stars, 9,645 forks, 186 open issues and last shipped yesterday. PaddleOCR has 92,143 stars, 11,613 forks, 243 open issues and last shipped 2 months ago. claude-mem leads on adoption by 20% (110,572 vs 92,143 stars). claude-mem is written in TypeScript under Apache-2.0; PaddleOCR is written in Python under Apache-2.0. claude-mem has attracted 9% as many forks as stars, PaddleOCR 13%. claude-mem 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.

claude-mem ★ 111K PaddleOCR ★ 92K category AI & Machine Learning

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Side by side

claude-mem PaddleOCR
GitHub stars ★ 111K ★ 92K
License Apache-2.0 Apache-2.0
Written in TypeScript Python
Last push 2026-11-02 2026-09-16
Forks ⑂ 9.6K ⑂ 12K
Self-hosting Yes Yes
Data ownership Your server Your server

pick claude-mem if

  • You weight community size — 111K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full claude-mem profile →

pick PaddleOCR if

  • You want the PaddleOCR 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 PaddleOCR fits your workflow better

full PaddleOCR profile →

About claude-mem

Claude Mem is now Grok Mem. The package is still claude mem . 🇨🇳 中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇵🇹 Português • 🇧🇷 Português • 🇰🇷 한국어 • 🇪🇸 Español • 🇩🇪 Deutsch • 🇫🇷 Français • 🇮🇱 עברית • 🇸🇦 العربية • 🇷🇺 Русский • 🇵🇱 Polski • 🇨🇿 Čeština • 🇳🇱 Nederlands • 🇹🇷 Türkçe • 🇺🇦 Українська • 🇻🇳 Tiếng Việt • 🇵🇭 Tagalog • 🇮🇩 Indonesia • 🇹🇭 ไทย • 🇮🇳 हिन्दी • 🇧🇩 বাংলা • 🇵🇰 اردو • 🇷🇴 Română • 🇸🇪 Svenska • 🇮🇹 Italiano • 🇬🇷 Ελληνικά • 🇭🇺 Magyar • 🇫🇮 Suomi • 🇩🇰 Dansk • 🇳🇴 Norsk Grok Mem is how Grok Bots remember. Sits next to Grok's own memory. Does not replace it. Quick…

read the full claude-mem overview →

About PaddleOCR

Global Leading OCR Toolkit & Document AI Engine English 简体中文 繁體中文 日本語 한국어 Français Русский Español العربية PaddleOCR converts PDF documents and images into structured, LLM ready data (JSON/Markdown) with industry leading accuracy. With 70k+ Stars and trusted by top tier projects like Dify, RAGFlow, and Cherry Studio, PaddleOCR is the bedrock for building intelligent RAG and Agentic applications. 🚀 Key Features 📄 Intelligent Document Parsing (LLM Ready) Transforming messy visuals into structured data for the LLM era. SOTA Document VLM : Featuring PaddleOCR VL 1.6 (0.9B) , the industry's leading lightweight…

read the full PaddleOCR overview →

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Frequently asked questions

Is claude-mem or PaddleOCR more popular?

claude-mem has 110,572 GitHub stars and PaddleOCR has 92,143. claude-mem has the larger community by that measure.

Are claude-mem and PaddleOCR free?

Both are open source. claude-mem is licensed under Apache-2.0 and PaddleOCR under Apache-2.0. Neither carries a licence fee.

What is the difference between claude-mem and PaddleOCR?

claude-mem is written in TypeScript and PaddleOCR 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, claude-mem or PaddleOCR?

Choose claude-mem if you want the larger community (110,572 stars) or its Apache-2.0 licence terms. Choose PaddleOCR if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.