head to head · open source

claude-mem vs PaddleOCR

claude-mem has 94,125 GitHub stars, 8,305 forks, 186 open issues and last shipped yesterday. PaddleOCR has 89,729 stars, 11,355 forks, 243 open issues and last shipped 2 days ago. claude-mem leads on adoption by 5% (94,125 vs 89,729 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 ★ 94K PaddleOCR ★ 90K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

claude-mem PaddleOCR
GitHub stars ★ 94K ★ 90K
License Apache-2.0 Apache-2.0
Written in TypeScript Python
Last push 2026-09-17 2026-09-16
Forks ⑂ 8.3K ⑂ 11K
Self-hosting Yes Yes
Data ownership Your server Your server

pick claude-mem if

  • You weight community size — 94K 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 an Apache 2.0 TypeScript memory layer for AI coding agents that captures what an agent did during a session, compresses it with AI, and injects the relevant parts back into future sessions, built for developers running Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode and similar tools.

read the full claude-mem overview →

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 →

More in AI & Machine Learning

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

Related comparisons

dify vs claude-mem dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify 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.

claude-mem vs Dify claude-mem vs langchain claude-mem vs ponytail claude-mem vs generative-ai-for-beginners claude-mem vs graphify claude-mem vs ragflow claude-mem vs Agent-Reach claude-mem vs headroom claude-mem vs Mem0 claude-mem vs daily_stock_analysis claude-mem vs LiteLLM claude-mem vs Multica

Frequently asked questions

Is claude-mem or PaddleOCR more popular?

claude-mem has 94,125 GitHub stars and PaddleOCR has 89,729. 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 (94,125 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.