This is what token-efficient memory looks like @mem0ai You can now run agent memory that is cost-e...
- 新算法在 LoCoMo、LongMemEval 和 BEAM 基准上达到有竞争力的准确率
- 每查询仅需约7000 tokens，比主流系统节省3-4倍
- 项目已完全开源，定位为AI智能体的记忆层
You can now run agent memory that is cost-efficient at production scale without sacrificing quality.
Open source" / X
Taranjeet on X: "This is what token-efficient memory looks like @mem0ai You can now run agent memory that is cost-efficient at production scale without sacrificing quality. Open source" / X
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Taranjeet 
This is what token-efficient memory looks like
You can now run agent memory that is cost-efficient at production scale without sacrificing quality. Open source
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mem0
@mem0ai
·
Apr 16
Article
How We Built the Token-Efficient Memory Algorithm
New @mem0ai memory algorithm hits competitive accuracy across LoCoMo, LongMemEval, and BEAM at <7,000 tokens/query (≈3–4x fewer tokens), while most systems run at 25,000+. Fully open source. We...
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-  Taranjeet  @taranjeetio Follow Click to Follow taranjeetio Founder & CEO @mem0ai - The Memory Layer for AI agents. Open Source: https://github.com/mem0ai/mem0
-  mem0 @mem0ai Follow Click to Follow mem0ai Memory Layer for your AI agents. Open source: https://github.com/mem0ai/mem0
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