head to head · open source
PaddleOCR vs Mem0
PaddleOCR has 92,143 GitHub stars, 11,613 forks, 243 open issues and last shipped 2 months ago. Mem0 has 68,288 stars, 8,104 forks, 742 open issues and last shipped 4 days ago. PaddleOCR leads on adoption by 35% (92,143 vs 68,288 stars). PaddleOCR is written in Python under Apache-2.0; Mem0 is written in Python under Apache-2.0. PaddleOCR has attracted 13% as many forks as stars, Mem0 12%. Mem0 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
| PaddleOCR | Mem0 | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 68K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-16 | 2026-10-30 |
| Forks | ⑂ 12K | ⑂ 8.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PaddleOCR if
- You weight community size — 92K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Mem0 if
- You want the Mem0 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 Mem0 fits your workflow better
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 →
About Mem0
Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…
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Frequently asked questions
Is PaddleOCR or Mem0 more popular?
PaddleOCR has 92,143 GitHub stars and Mem0 has 68,288. PaddleOCR has the larger community by that measure.
Are PaddleOCR and Mem0 free?
Both are open source. PaddleOCR is licensed under Apache-2.0 and Mem0 under Apache-2.0. Neither carries a licence fee.
What is the difference between PaddleOCR and Mem0?
PaddleOCR is written in Python and Mem0 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, PaddleOCR or Mem0?
Choose PaddleOCR if you want the larger community (92,143 stars) or its Apache-2.0 licence terms. Choose Mem0 if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.