Memoh vs LobeHub
Persistent AI workspaces compared with collaborative agent teams
Memoh gives each AI agent an isolated, persistent workspace with its own desktop, browser, network, and memory. lobehub focuses on building and coordinating teams of agents around shared projects, workflows, and schedules.
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.
LobeHub: Organize AI Agents for 24/7 Operations
LobeHub is a TypeScript AI-agent workspace for hiring, scheduling, and getting reports from an AI team, so work can continue while you are away. Its full-stack app uses Next.js and a Vite SPA, with self-hosting options including Docker.
| Memoh | LobeHub | |
|---|---|---|
| Language | Go | TypeScript |
| License | AGPL-3.0 | — |
| Stars | 2.7k | 83.3k |
| Forks | 257 | 16k |
| Last analyzed | Oct 20, 2026 | Oct 20, 2026 |
Key differences
- Memoh emphasizes dedicated, always-on environments for individual agents, while lobehub emphasizes collaboration among agents in shared workspaces.
- Memoh supports its built-in agent and hosted Claude Code and Codex; lobehub offers a unified interface for models and modalities, with provider configuration under the user's control.
- Memoh is written in Go and lists an AGPL-3.0 license; lobehub is written in TypeScript, with repository metadata reporting NOASSERTION and its README identifying a LobeHub Community License.
- Memoh offers cloud access and self-hosting, with Docker Compose documented as a full-stack option; lobehub documents Docker and supported hosting platforms.
- Memoh lists 2.6k stars and 252 forks, while lobehub lists 83k stars and 16k forks.
- Both projects are unarchived; Memoh reports 82 open issues, while lobehub describes itself as under active development.
Choose Memoh if you…
- need isolated, persistent agent workspaces with desktop, browser, and network access.
- want to host Claude Code or Codex in a dedicated environment.
- need agents to remain available across sessions and messaging platforms.
Choose LobeHub if you…
- want to organize agents, projects, and shared workflows in a web app.
- need agents to collaborate in shared context or run on a schedule.
- want to choose among models and modalities through a unified interface.
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.