mem0ai/mem0
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
★ 67.6KWeek rank 11 · star gain starts at the next snapshot
From the README
🎃 Register here → · Contributors get priority Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token-efficient memory algorithm → New Memory Algorithm (April 2026) | Benchmark | Old | New | Tokens | Latency p50 | | --- | --- | --- | --- | --- | | **LoCoMo** | 71.4 | **92.5** | 7.0K | 0.88s | | **LongMemEval** | 67.8 | **94.4** | 6.8K | 1.09s | | **BEAM (1M)** | — | **64.1** | 6.7K | 1.00s | | **BEAM (10M)**…
Setup prompt
Paste this into Cursor or Claude Code. It only includes install lines found in the README, and it asks the agent to review the code first.
Set up the GitHub repository mem0ai/mem0 (The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.). Repository: https://github.com/mem0ai/mem0 Official install commands found in the README: npm install -g @mem0/cli # or: pip install mem0-cli pip install mem0ai pip install mem0ai[nlp] npm install mem0ai npm install -g @mem0/cli # or: pip install mem0-cli npx skills add https://github.com/mem0ai/mem0 --skill mem0 npx skills add https://github.com/mem0ai/mem0 --skill mem0-cli npx skills add https://github.com/mem0ai/mem0 --skill mem0-vercel-ai-sdk npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration npx skills add https://github.com/mem0ai/mem0 --skill mem0-oss-to-platform Clone the repository and follow those steps. Do not invent package names or extra install commands. Review the code before running anything.
Buzz by window
Same mentions, three half-lives. This is not a star history. Star gain appears after a second daily snapshot.
- Today1.11
- Week2.66
- Month3.03
Spotted on
- X @kuma_baumOct 23, 2026
- X @MohakBajaj5Oct 22, 2026
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