Memoh

Memoh is an open-source multi-agent platform providing every agent with a dedicated cloud computer and long-term memory.

Memoh is a cloud-first multi-agent platform where every agent operates on its own dedicated real computer running 24/7 with a desktop, files, and network. Users can deploy Codex, Claude Code, or other ACP-compatible agents, utilizing their own subscriptions or platform-provided models like DeepSeek, Kimi, GPT, and Claude. The system runs continuously in the cloud, allowing agents to browse websites, manage packages, write code, run development environments, and handle scheduled tasks without human triggers. Agents retain persistent session memory, reach out first across channels like Telegram, WeChat, and Discord, and let users take over the desktop at any time. It is designed for users who want agents to manage continuous workflows, research, and development tasks independently.

Memoh at a glance

Best for: Software engineer
Runs on: Web, Linux, API
Pricing: Go $5/mo; Pro $60/mo; Premium $150/mo
Released: January 2026
Category: AI agent tool
Website: memoh.ai

Key features

Dedicated cloud computer for every agent
24/7 continuous operation in the cloud
Desktop environment with app operation capabilities
Persistent volume storage and session memory
Scheduled tasks and automated check-ins
Multi-channel messaging integration
One-click package and dependency management

Use it for

Writing code and running development environments
Browsing websites and searching for videos
Running scheduled tasks and daily digests
Managing dependencies and agent skills

Alternatives to Memoh

MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Agensh — Scales to 1,024 self-organizing agents without a central orchestrator.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Alook — Connects existing local coding agents to team communication channels.
OpenViking — Unifies agent memory, knowledge RAG, and skills into a single directory structure.
MemPalace — Achieves high recall with local-first storage and zero API calls.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
memU — It gives every connected agent a shared and inspectable memory layer.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
Yao — Self-hosted agent platform with task tracking on centralized boards.

All Memoh alternatives