🧠
mem0 model by mem0ai
⭐ 50.7
🧠
Model

mem0

by mem0ai mem0ai/mem0
Free2AITools Nexus Index
50.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62
P: Popularity 75
R: Recency 100
Q: Quality 70
Tech Context
Vital Performance —
Source β†’
Low FNI signal 50.7 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mem0ai/mem0
License Apache-2.0
Provider github
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{gh_tool_mem0ai_mem0,
  author = {mem0ai},
  title = {mem0 Model},
  year = {2026},
  howpublished = {\url{https://github.com/mem0ai/mem0}},
  note = {Accessed via Free2AITools.}
}
APA Style
mem0ai. (2026). mem0 [Model]. Free2AITools. https://github.com/mem0ai/mem0

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ Git Clone
git clone https://github.com/mem0ai/mem0

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62
Popularity (P) 75
Recency (R) 100
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for mem0: Authority (A:62), Popularity (P:75), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Deployment reference

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Technical Deep Dive

Mem0 - The Memory Layer for Personalized AI

mem0ai%2Fmem0 | Trendshift

Learn more Β· Join Discord Β· Demo

Mem0 Discord Mem0 PyPI - Downloads GitHub commit activity Package version Npm package Y Combinator S24

πŸ“„ Benchmarking Mem0's token-efficient memory algorithm β†’

New Memory Algorithm (April 2026)

Benchmark Old New Tokens Latency p50
LoCoMo 71.4 91.6 7.0K 0.88s
LongMemEval 67.8 94.8 6.8K 1.09s
BEAM (1M) β€” 64.1 6.7K

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

GitHub Repository
59.6KStars
6.9KForks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--mem0ai--mem0
slug
mem0ai--mem0
source
github
author
mem0ai
license
Apache-2.0
tags
ai, chatgpt, llm, python, chatbots, rag, application, long-term-memory, memory, memory-management, state-management, ai-agents, agents, genai

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
59,606
forks
6,897

Data indexed from public sources. Updated daily.