head to head · open source

PaddleOCR vs Mem0

PaddleOCR has 89,729 GitHub stars, 11,355 forks, 243 open issues and last shipped 2 days ago. Mem0 has 65,505 stars, 7,683 forks, 742 open issues and last shipped yesterday. PaddleOCR leads on adoption by 37% (89,729 vs 65,505 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.

PaddleOCR ★ 90K Mem0 ★ 66K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

PaddleOCR Mem0
GitHub stars ★ 90K ★ 66K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-16 2026-09-17
Forks ⑂ 11K ⑂ 7.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick PaddleOCR if

  • You weight community size — 90K 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

full PaddleOCR profile →

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

full Mem0 profile →

About PaddleOCR

PaddleOCR is an Apache 2.0 Python OCR and document AI toolkit that converts PDFs and images into structured, LLM ready JSON or Markdown across more than 100 languages, and it is built for developers who need to feed documents into RAG pipelines, agents, and document parsing services.

read the full PaddleOCR overview →

About Mem0

Mem0 is an open source memory layer for AI agents and applications, designed to store, retrieve, and manage persistent context across interactions. It lives in the Python based AI development ecosystem and provides infrastructure that enables agents and apps to remember user preferences, conversation history, and state over time—moving beyond ephemeral chat sessions toward truly adaptive systems.

read the full Mem0 overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

PaddleOCR vs Dify PaddleOCR vs langchain PaddleOCR vs ponytail PaddleOCR vs generative-ai-for-beginners PaddleOCR vs graphify PaddleOCR vs claude-mem PaddleOCR vs ragflow PaddleOCR vs Agent-Reach PaddleOCR vs headroom PaddleOCR vs daily_stock_analysis PaddleOCR vs LiteLLM PaddleOCR vs Multica

Frequently asked questions

Is PaddleOCR or Mem0 more popular?

PaddleOCR has 89,729 GitHub stars and Mem0 has 65,505. 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 (89,729 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.