Kxiandaoyan

Kxiandaoyan / Memoh-v2

Public

比OpenClaw强大数倍的人性化agent,龙虾有的我都有,龙虾没有的,我也有.

260
18
100% credibility
Found Feb 23, 2026 at 164 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

Memoh-v2 is a self-hosted platform for building isolated AI agents with advanced memory, self-evolution, and integration across messaging apps like Telegram and Feishu.

How It Works

1
🚀 Discover Memoh

You hear about this powerful AI agent platform from friends or online and install it super easily with one click.

2
🔓 Jump right in

Open the web page on your computer and log in with the simple starter account provided.

3
🧠 Link your AI power

Connect a smart thinking service so your agents can understand and respond like real helpers.

4
🤖 Create your first agent

Choose a ready personality or start fresh, name it, and give it simple instructions on how to help.

5
📱 Hook up your chats

Link your favorite messaging apps like Telegram or Feishu so you can talk to agents anywhere.

6
💬 Chat and watch magic

Send a message and see your agent reply smartly, pulling from memories and tools.

✨ Agents grow smarter

Your helpers remember everything, improve themselves, and become your perfect team over time.

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Star Growth

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AI-Generated Review

What is Memoh-v2?

Memoh-v2 is a self-hosted AI agent platform built in Go that lets you spin up isolated bots with persistent memory, tools, and multi-channel messaging. Each bot runs in its own containerd sandbox for true isolation, backed by a three-layer memory system using Qdrant vectors, BM25 keywords, and LLM extraction—solving the chaos of shared runtimes and forgetful agents. Deploy via Docker Compose for a full stack: Go server, Vue web UI, Postgres, and Bun agent gateway.

Why is it gaining traction?

It crushes alternatives like OpenClaw with per-bot containers, proactive heartbeats/schedules, self-evolution cycles (reflect/experiment/review), and MCP tool integration for 15+ builtins plus ClawHub skills. Devs love the real-time SSE streaming, token dashboards, cross-bot collaboration via shared workspaces, and channels like Telegram, Feishu, Discord—no more toy agents that flake on production loads.

Who should use this?

AI builders integrating agents into Telegram bots or team chats, indie hackers prototyping multi-agent workflows, or ops teams needing auditable, evolvable assistants without cloud dependency. Perfect for Go fans wanting containerized isolation for file I/O, browsers, and custom tools.

Verdict

Grab it for experimentation—48 stars and 1.0% credibility signal early days, but thorough docs, screenshots, and OpenClaw benchmarks make it a low-risk playground. Scale cautiously until tests stabilize.

(187 words)

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