Memoh vs agent-zero
Persistent AI agent workspaces compared
Memoh and agent-zero both give AI agents an environment for work beyond chat. Memoh focuses on persistent, always-on agent computers connected to messaging platforms, while agent-zero provides a customizable Linux workbench for files, desktop tasks, and documents.
Memoh: Give Every AI Agent Its Own Cloud Computer
Memoh is a Go-based, open-source multi-agent platform that gives each agent an always-on cloud computer with a desktop, browser, network, and long-term memory. Use its built-in agent with your own API keys or host Claude Code and Codex, and connect through chat platforms or the web UI.
agent-zero: Give AI Agents a Linux Workbench
Agent Zero is a Python framework for agents that need a working environment, not just a chat interface. It combines a Dockerized Linux desktop, browser, document editing, projects, extensions, and optional access to host-machine files.
| Memoh | agent-zero | |
|---|---|---|
| Language | Go | Python |
| License | AGPL-3.0 | NOASSERTION |
| Stars | 2.7k | 19.4k |
| Forks | 257 | 3.8k |
| Last analyzed | Oct 20, 2026 | Oct 3, 2026 |
Key differences
- Memoh is written in Go and agent-zero in Python.
- Memoh is designed around always-on, isolated workspaces with long-term memory; agent-zero emphasizes visible work in a Dockerized Linux desktop with projects, tools, and document editing.
- Memoh supports its built-in agent and hosting Claude Code or Codex, while agent-zero focuses on configurable providers, extensions, and multi-agent delegation.
- Memoh can be deployed on Memoh Cloud or self-hosted; agent-zero documents a Docker-based setup and an optional connector to host files and shell workflows.
- Memoh uses the AGPL-3.0 license; agent-zero's license is reported as NOASSERTION, so review its licensing terms before adoption or redistribution.
- The supplied repository figures list 2.7k stars and 257 forks for Memoh, compared with 19.4k stars and 3.8k forks for agent-zero.
Choose Memoh if you…
- need persistent agents with long-term memory and their own always-on workspaces.
- want to connect agents through messaging platforms such as Telegram, Discord, Lark, or WeChat.
- plan to use Memoh Cloud or self-host a fleet of agents.
Choose agent-zero if you…
- want agents to work in a Linux desktop with files, browser, and document tools.
- need customizable tools, extensions, projects, or multi-agent delegation.
- want optional access to host-machine files and shell workflows through the CLI Connector.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.