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felinics
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felinics/Memoh

✨ The open-source multi-agent platform. Every agent gets its own computer, desktop, network, and long-term memory. You can bring your own key, or host your coding agent like Claude Code, Codex and so on.

Go ◇ agent AGPL-3.0
★2.6KSTARS
⑂253FORKS
!84ISSUES
🏆#2,376GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Momentum

+66

STARS · LAST 30 DAYS

2

PER DAY

#312

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+14+66+180
Per day222
Forks gained+1+5+13

Memoh gained 66 stars in the last 30 days, about 2 a day, and now has 2.6K. It is about 1 year old and has averaged roughly 2.6K stars a year. It ranks #312 among Go repositories and #2,376 across all languages on GitHubRepo.

Trending Record

Memoh has maintained a continuous presence across global trending indexes, peaking at #3447. Below is the 30-day activity profile:

💡 Overview

Memoh is an open-source project written in Go: ✨ The open-source multi-agent platform. Every agent gets its own computer, desktop, network, and long-term memory. You can bring your own key, or host your coding agent like Claude Code, Codex and so on.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, ai-companion. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Go for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ go install github.com/felinics/Memoh@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Memoh coordinates its core functionality through a modular Go 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 Memoh.

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

1

Install Memoh using your package manager: `go install github.com/felinics/Memoh@latest`

2

Initialize your project workspace or configuration file for Memoh.

3

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

4

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

👍 Strengths

Active community backing with 2,630 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

felinics/Memoh is currently ranked #2,376 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,371 create-dmg/create-dmg Shell ★ 2.6K Compare ↗
#2,372 nolar/kopf Python ★ 2.6K Compare ↗
#2,373 rentzsch/jrswizzle Objective-C ★ 2.6K Compare ↗
#2,374 open-telemetry/opentelemetry-java-instrumentation Java ★ 2.6K Compare ↗
#2,375 nalexn/ViewInspector Swift ★ 2.6K Compare ↗
#2,376 felinics/Memoh This Project Go ★ 2.6K
#2,376 cashapp/paparazzi Kotlin ★ 2.6K Compare ↗
#2,378 LukasBanana/LLGL C++ ★ 2.6K Compare ↗
#2,379 symfony/intl PHP ★ 2.6K Compare ↗
#2,379 nunit/nunit C# ★ 2.6K Compare ↗
#2,381 org2AI/ORG2 TypeScript ★ 2.6K Compare ↗

Frequently Asked Questions

What does Memoh do? +

✨ The open-source multi-agent platform. Every agent gets its own computer, desktop, network, and long-term memory. You can bring your own key, or host your coding agent like Claude Code, Codex and so on.

What language is Memoh written in? +

The primary language is Go. Topics include: agent, ai, ai-companion, ai-memory, personal-assistant.

Is Memoh actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 84 open issues being tracked.

How many stars does Memoh have? +

Memoh has 2,630 stars and 253 forks on GitHub.

How does Memoh rank among GitHub repositories? +

With 2,630 stars, felinics/Memoh is ranked #2,376 globally across all repositories tracked on GitHubRepo and #312 among Go projects.

What license is Memoh distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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