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langgenius/dify vs MemTensor/MemOS

Compare langgenius/dify and MemTensor/MemOS using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.

langgenius/dify

Dify is an open-source platform that combines visual AI workflow building, RAG pipelines, agent capabilities, and model management into a single Backend-as-a-Service. It enables developers to build, test, and deploy LLM applications without requiring coding for basic configuration.

License
License pending
Deployment
Docker / Docker Compose
Use cases
Knowledge Q&A · Coding & Development · Automation
Updated
2026-07-15T15:12:13Z

Original project link

MemTensor/MemOS

memtensor/memos provides a memory operating system that adds persistent, multi-modal long-term memory to LLMs and AI agents. It offers a unified API for managing memory as an inspectable graph and requires external infrastructure for self-hosting.

License
Apache-2.0
Deployment
Refer to project documentation
Use cases
Knowledge Q&A · Automation
Updated
2026-07-18T03:32:12Z

Original project link

How to choose

First eliminate options that fail required deployment, license, or use-case constraints; then inspect each detail page for limitations and direct evidence.