The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemem0 is 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..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), mem0ai/mem0 has accumulated 67,849 GitHub stars and 8,025 forks. It is written in Python, licensed under Apache-2.0, and ranks #184 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | mem0ai/mem0 ↗ |
|---|---|
| Primary Category | agentic memory |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 67.8K stars · ⑂ 8K forks · #184 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 876 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 90/100 · Grade AYes, mem0 is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (17 days ago). Supported by 67,849 stars and 8,025 community forks, this repository holds a calculated health index of 90/100, reflecting regular maintenance (17 days ago) and active community feedback (876 open).
Star History
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+1.4K
STARS · LAST 30 DAYS
48
PER DAY
#52
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +1.4K | +4.3K |
| Per day | 1 | 48 | 48 |
| Forks gained | +0 | +201 | +401 |
mem0 gained 1.4K stars in the last 30 days, about 48 a day, and now has 67.8K. It is about 3 years old and has averaged roughly 22.6K stars a year. It ranks #52 among Python repositories and #184 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#72
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mem0 has maintained a continuous presence across global trending indexes, peaking at #72. 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 #184 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #179 | openinterpreter/openinterpreter | Rust | ★ 68.9K | Compare ↗ |
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| #183 | scikit-learn/scikit-learn | Python | ★ 68K | Compare ↗ |
| #184 | mem0ai/mem0 This Project | Python | ★ 67.8K | |
| #185 | Mintplex-Labs/anything-llm | JavaScript | ★ 67.8K | Compare ↗ |
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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.
Is mem0 actively maintained in 2026? +
Yes, mem0 is actively maintained. The latest code push was recorded on Oct 26, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 67,849 stars and 876 open issues.
What language is mem0 written in? +
The primary language is Python. Topics include: agentic-memory, agentic-memory-system, agents, ai, ai-agents.
How many stars does mem0 have? +
mem0 has 67,849 stars and 8,025 forks on GitHub.
How does mem0 rank among GitHub repositories? +
With 67,849 stars, mem0ai/mem0 is ranked #184 globally across all repositories tracked on GitHubRepo and #52 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.
