Memoh

About Memoh

[English] [简体中文] Memoh Multi-Member, Structured Long-Memory, Containerized AI Agent System. 📌 Introduction to Memoh - The Case for an Always-On, Containerized Home Agent [Telegram Group] [Documentation] [Cooperation] Memoh is an always-on, co

agent ai ai-companion ai-memory openclaw personal-assistant

Quick Facts

Stars	1,737
Forks	158
Language	Go
Category	Codex Skill
License	AGPL-3.0
Quality Score	50.508/100
Open Issues	23
Last Updated	2026-05-22
Created	2026-01-12
Platforms	go
Est. Tokens	~4135k

Compatible Skills

These tools work well together with Memoh for enhanced workflows:

goclaw — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)
clawlet — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
ChatClaw — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
awesome-openclaw — semantic(0.30)+complementary+rare_topics+similar_pop (50%)
Claude-to-IM-skill — semantic(0.32)+complementary+similar_pop (46%)

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Frequently Asked Questions

What is Memoh?

Memoh is ✨ Self hosted, always-on AI agent platform run in containers. Create multiple bots with long memory, and connect them to Telegram, Discord, Feishu(Lark), Matrix, etc.. It is categorized as a Codex Skill with 1.7k GitHub stars.

What programming language is Memoh written in?

Memoh is primarily written in Go. It covers topics such as agent, ai, ai-companion.

How do I install or use Memoh?

You can find installation instructions and usage details in the Memoh GitHub repository at github.com/memohai/Memoh. The project has 1.7k stars and 158 forks, indicating an active community.

What license does Memoh use?

Memoh is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools