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moorcheh-ai/memanto

Memory that AI Agents Love!

Python ◇ agent-memory MIT

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★2.3KSTARS

⑂728FORKS

!75ISSUES

🏆#1,741GLOBAL RANK

🔥3DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for moorcheh-ai/memanto

Momentum

+57

STARS · LAST 30 DAYS

PER DAY

#243

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+14	+57	+180
Per day	2	2	2
Forks gained	+4	+15	+36

memanto gained 57 stars in the last 30 days, about 2 a day, and now has 2.3K. It is about 1 year old and has averaged roughly 2.3K stars a year. It ranks #243 among Python repositories and #1,741 across all languages on GitHubRepo.

Trending Record

memanto has maintained a continuous presence across global trending indexes, peaking at #1648. Below is the 30-day activity profile:

💡 Overview

memanto is an open-source project written in Python: Memory that AI Agents Love!.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, ai-agents, crewai. 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

terminal

$ pip install memanto

$ pip install memanto # or: brew install memanto

> pip install memanto

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

memanto 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 memanto.

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 memanto using your package manager: `pip install memanto`

Initialize your project workspace or configuration file for memanto.

Import memanto into your codebase or invoke it directly from your terminal.

Execute your test suite or run `memanto --help` to verify successful setup.

👍 Strengths

Active community backing with 2,281 GitHub stars and verified adoption.

Permissive open-source distribution under the MIT license.

Built in Python for high execution speed and developer familiarity.

Cross-platform compatibility across modern Linux, macOS, and Windows environments.

Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.

Ecosystem extensions may require manual configuration depending on environment constraints.

Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 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

moorcheh-ai/memanto is currently ranked #1,741 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#1,736	casadi/casadi	C++	★ 2.3K	Compare ↗
#1,737	ncdai/chanhdai.com	TypeScript	★ 2.3K	Compare ↗
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#1,739	AhmetCanArslan/ShizuWall	Kotlin	★ 2.3K	Compare ↗
#1,740	Murmele/Gittyup	C++	★ 2.3K	Compare ↗
#1,741	moorcheh-ai/memanto This Project	Python	★ 2.3K
#1,742	mastodon/mastodon-ios	Swift	★ 2.3K	Compare ↗
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Frequently Asked Questions

What does memanto do? +

Memory that AI Agents Love!

What language is memanto written in? +

The primary language is Python. Topics include: agent-memory, ai-agents, crewai, langchain, llm-memory.

Is memanto actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 75 open issues being tracked.

How many stars does memanto have? +

memanto has 2,281 stars and 728 forks on GitHub.

How does memanto rank among GitHub repositories? +

With 2,281 stars, moorcheh-ai/memanto is ranked #1,741 globally across all repositories tracked on GitHubRepo and #243 among Python projects.

What license is memanto distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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LinkedIn

Why memanto is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 2,281 developers have starred moorcheh-ai/memanto, an impressive Python open-source project designed to Memory that AI Agents Love!.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 2,281 GitHub stars and 728 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/moorcheh-ai/memanto
⭐ GitHub Repository: https://github.com/moorcheh-ai/memanto

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: memanto – A free, self-hosted tool that lets you Memory that AI Agents Love!

Hey everyone,

I wanted to share an interesting open-source project called **memanto** (https://github.com/moorcheh-ai/memanto) that has been picking up heavy momentum lately (2,281 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. memanto was built with a local-first philosophy, allowing developers to Memory that AI Agents Love! without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** MIT
- **GitHub:** [moorcheh-ai/memanto](https://github.com/moorcheh-ai/memanto)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/moorcheh-ai/memanto](https://githubrepo.cloud/repo/moorcheh-ai/memanto)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: memanto – Memory that AI Agents Love!

Hi HN,

memanto is an open-source Python project designed to Memory that AI Agents Love!.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/moorcheh-ai/memanto
Documentation & Metrics: https://githubrepo.cloud/repo/moorcheh-ai/memanto

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet memanto (2,281 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet memanto
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[moorcheh-ai/memanto](https://github.com/moorcheh-ai/memanto)**, a rapidly rising repository with **2,281 GitHub stars** and **728 forks**.

### What is memanto?

> Memory that AI Agents Love!

Written in **Python**, memanto runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#1,741** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/moorcheh-ai/memanto).

### Quick Start
To get started locally:

```bash
git clone https://github.com/moorcheh-ai/memanto.git
cd memanto
```

Check out the full repository and star history analytics here:
- **GitHub:** [moorcheh-ai/memanto](https://github.com/moorcheh-ai/memanto)
- **Star Velocity Tracker:** [memanto on GitHubRepo.cloud](https://githubrepo.cloud/repo/moorcheh-ai/memanto)

𝕏

X / Twitter Communities

Thread / Community Post for memanto

Developers are sleeping on this GitHub repo 👇

moorcheh-ai/memanto (2,281 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Memory that AI Agents Love!
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/moorcheh-ai/memanto

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out moorcheh-ai/memanto.

It already has over 2,281 stars and lets you Memory that AI Agents Love!.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/moorcheh-ai/memanto

From our network

moorcheh-ai/memanto

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Autonomous AI Agents

Model Inference & Prompting

Context Memory & RAG

Developer Productivity

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

Claim this repository

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