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xzf-thu / VoiceMem

Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.

Why this job: topics: long-term-memory, memory

What it does

  • Accurate. Reaches 91.2% on LoCoMo, compared with 61.68% for Mem0, using only Top-5 memories.
  • Emotional & Personal. Remembers not only what the user said, but also who the user is and how they feel. Reaches 69.44% on PersonaMem.
  • Multimodal. Remembers speech, speakers, sound events, multi-speaker conversations, and music from real-world audio.
  • Fast. Responds in 134 ms, compared with 1,440 ms for Mem0, with streaming retrieval inside the voice turn.
  • Low Token Usage. Uses only 430 memory tokens, compared with 6,956 for Mem0 and 1,899 for EverMemOS.

Get started

pip install -U huggingface_hub
hf download zhifeixie/VoiceMem_Default_Models_Env --local-dir ./models
Maintenance
Active
Last commit 57 days ago
Stars
2,896
+26 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.0.2
Released 2 months ago
Built with
Python
85% of the code

Is it looked after?

Contributors
5
Last 90 days
Issues
0% closed
7 still open
Pull requests
4 merged
0 waiting
Releases
2
2 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 85%
  • HTML 14%
  • Shell <1%
  • JavaScript <1%

Topics

  • ai
  • ai-agents
  • ai-tools
  • application
  • audio-streaming
  • genai
  • llm
  • long-term-memory
  • memory
  • memory-management
  • python
  • voice-agent

Project record

  • JobAgent memory
  • StatusFeatured
  • Commits78
  • Forks268
  • Watching155
  • Stars in 28 days+402
  • CreatedAug 17, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 10, 2026

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