py-xiaozhi logo
py-xiaozhi
★ 3.5k
vs
memem logo
memem
★ 32

py-xiaozhi vs memem

py-xiaozhi: py-xiaozhi is a Python-based client for the Xiaozhi AI voice assistant, designed for learning through code and experiencing AI voice features without dedicated hardware. It integrates core AI capabilities like voice interaction, visual multi-modality, and smart wake-up, alongside a rich MCP tool ecosystem and IoT device integration.; memem: memem is a Claude Code plugin that gives persistent memory across sessions. It automatically extracts durable lessons from completed sessions, stores them as markdown in an Obsidian vault, and surfaces relevant ones as an Active Memory Slice. It is local-first with no cloud services.

01

TL;DR

py-xiaozhi logo
py-xiaozhiVoice / Speech · ★ 3.5k
When to choose:
  • You want to try the Xiaozhi voice assistant on a computer without ESP32 hardware.
  • You want offline wake words with Sherpa-ONNX, echo cancellation and a GUI or command-line mode.
  • You want ready MCP tools such as schedules, timers, music, train tickets, web search and maps.
When to skip:
  • You want a self-contained assistant: AI features depend on the Xiaozhi service.
  • You cannot use Python 3.9 to 3.12, working audio devices and an internet connection.
  • You want to self-host the backend: that is the server projects' job.
memem logo
mememVoice / Speech · ★ 32

Stop re-explaining your project to every new Claude Code session

02

Side-by-Side Comparison

Field
py-xiaozhi logopy-xiaozhi
memem logomemem
Category
Voice / Speech
Voice / Speech
Stars
★ 3.5k
★ 32
License
MIT
MIT
Install Command
pip install -r requirements.txt
claude plugin marketplace add TT-Wang/memem && claude plugin install memem@memem-marketplace
Updated
1mo ago
1mo ago
Open Source
Yes
Yes
Tags
AI Voice Assistant, Python, Multi-modal AI
anthropic, claude-code, claude-code-plugin
03

Features

py-xiaozhi logopy-xiaozhi
01AI Voice Interaction
02Visual Multi-modality
03Smart Wake-up
04MCP Tool Ecosystem
05IoT Device Integration
memem logomemem
01Automatic extraction of durable lessons from sessions
02Query-aware context injection (only relevant memories injected)
03Self-evolving memories (merge, update, deprecate automatically)
04Cross-project memory sharing
05Security scanning for prompt injection and credential exfiltration
04

Use Cases

py-xiaozhi logopy-xiaozhi
↳Learning Python AI voice client development
↳Experiencing Xiaozhi AI voice features on PC
↳Remote or automated smart device control
memem logomemem
↳Stop re-explaining your project to every new Claude Code session
↳Maintain a browsable, editable memory base in markdown
↳Cross-project memory with zero vendor lock-in
FAQ

FAQ

What is the difference between py-xiaozhi and memem?
Both py-xiaozhi and memem are in the Voice / Speech category. py-xiaozhi has 3.5k stars, while memem has 32 stars.
Which is better, py-xiaozhi or memem?
The best choice depends on your use case. Choose py-xiaozhi if Learning Python AI voice client development, and memem if Stop re-explaining your project to every new Claude Code session.
Is py-xiaozhi free or open source?
Yes, py-xiaozhi is open source on GitHub (MIT).
Is memem free or open source?
Yes, memem is open source on GitHub (MIT).
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