The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Star History
Momentum
+1.7K
STARS · LAST 30 DAYS
55
PER DAY
#44
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +385 | +1.7K | +5K |
| Per day | 55 | 55 | 55 |
| Forks gained | +39 | +155 | +388 |
mem0 gained 1.7K stars in the last 30 days, about 55 a day, and now has 66.1K. It is about 3 years old and has averaged roughly 22K stars a year. It ranks #44 among Python repositories and #157 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#112
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mem0 has maintained a continuous presence across global trending indexes, peaking at #112. Below is the 30-day activity profile:
💡 Overview
mem0 is an open-source project written in Python: The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-memory, agentic-memory-system, agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install mem0⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mem0 coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with mem0.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install mem0 using your package manager: `pip install mem0`
Initialize your project workspace or configuration file for mem0.
Import mem0 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mem0 --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
mem0ai/mem0 is currently ranked #157 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #152 | scikit-learn/scikit-learn | Python | ★ 67.4K | Compare ↗ |
| #153 | Mintplex-Labs/anything-llm | JavaScript | ★ 66.5K | Compare ↗ |
| #154 | shanraisshan/claude-code-best-practice | HTML | ★ 66.5K | Compare ↗ |
| #155 | LadybirdBrowser/ladybird | C++ | ★ 66.3K | Compare ↗ |
| #156 | prometheus/prometheus | Go | ★ 66.3K | Compare ↗ |
| #157 | mem0ai/mem0 This Project | Python | ★ 66.1K | |
| #158 | alacritty/alacritty | Rust | ★ 65.8K | Compare ↗ |
| #159 | warpdotdev/warp | Rust | ★ 65.2K | Compare ↗ |
| #160 | traefik/traefik | Go | ★ 65K | Compare ↗ |
| #161 | rust-lang/rustlings | Rust | ★ 64.2K | Compare ↗ |
| #162 | usememos/memos | Go | ★ 63.4K | Compare ↗ |
Frequently Asked Questions
What does mem0 do? +
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
What language is mem0 written in? +
The primary language is Python. Topics include: agentic-memory, agentic-memory-system, agents, ai, ai-agents.
Is mem0 actively maintained? +
Yes, the last recorded push was on Sep 25, 2026 with 750 open issues being tracked.
How many stars does mem0 have? +
mem0 has 66,058 stars and 7,768 forks on GitHub.
How does mem0 rank among GitHub repositories? +
With 66,058 stars, mem0ai/mem0 is ranked #157 globally across all repositories tracked on GitHubRepo and #44 among Python projects.
What license is mem0 distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
