mem0

About mem0

Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token-efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production-representative model stack. Single-pass retrieval (one call, no agentic loops). What changed: Single-pass ADD-only extraction -- one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent-generated facts are first-class -- when an agent confirms an action, that information is now stored with equal weight.

agentic-memory agentic-memory-system agents ai ai-agents chatgpt genai llm long-term-memory memory

Quick Facts

Stars	67,453
Forks	7,958
Language	Python
Category	AI 工具
License	Apache-2.0
Quality Score	64.0837369849988/100
Open Issues	851
Last Updated	2026-10-17
Created	2023-06-20
Platforms	python
Est. Tokens	~15k

Compatible Skills

These tools work well together with mem0 for enhanced workflows:

EverOS — semantic(0.49)+complementary+rare_topics+same_lang+shared_platform (66%)
EverMemOS — semantic(0.47)+complementary+rare_topics+same_lang+shared_platform (65%)
XMem — semantic(0.56)+complementary+rare_topics+same_lang+shared_platform (59%)
nocturne_memory — semantic(0.39)+complementary+rare_topics+same_lang+shared_platform (58%)

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Frequently Asked Questions

What is mem0?

mem0 is The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.. It is categorized as a AI 工具 with 67.5k GitHub stars.

What programming language is mem0 written in?

mem0 is primarily written in Python. It covers topics such as agentic-memory, agentic-memory-system, agents.

How do I install or use mem0?

You can find installation instructions and usage details in the mem0 GitHub repository at github.com/mem0ai/mem0. The project has 67.5k stars and 7958 forks, indicating an active community.

What license does mem0 use?

mem0 is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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