Plugin · Claude Code · AI Agents

Lobu Ai Lobu

lobu-ai-lobu is a Claude Code plugin for the Build phase that helps you integrate multi-tenant OpenClaw autonomous agents and terminal runners into your product.

by lobu-ai · github.com/lobu-ai/lobu

Embed multi-tenant autonomous agents (OpenClaw) in your product with terminal-native runners and pane workflows for Claude.

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Install

Add it to Claude Code

Install the plugin in Claude Code. One command, paste-ready.

Install the plugin
/plugin install lobu-ai-lobu@lobu-ai/lobu
Add to ClaudeUse the Agent APISkillselion is itself an MCP server - your agent can fetch this config directly.
Agent API

Built to be called by your agent

Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.

Retrieve this entry with skillselion.get_details("plugin:lobu-ai/lobu") and the paste-ready config with skillselion.get_install_config("plugin:lobu-ai/lobu").

About

What it does

lobu-ai-lobu is a Claude Code plugin catalog entry for Lobu: tooling to add autonomous, multi-tenant agents to your product, built around OpenClaw and terminal-first workflows. Solo builders aiming to ship an agent-powered SaaS—not just prompt a local CLI—can treat it as agent-tooling during Build: you get patterns for runners, interactive panes, and Claude-driven sessions rather than a lone MCP shim. Catalog keywords reference Zellij, floating panes, and runners, which signals a dev-experience layer for operating agents inside tmux-like environments while productizing tenancy. Complexity is advanced because multi-tenant agent hosts touch auth, isolation, and ops. Use it when your roadmap includes customer-facing agents; skip it if you only need a single personal coding assistant with no embedded runtime.

Highlights

  • Multi-tenant OpenClaw stack for adding autonomous agents to your product
  • Terminal-oriented runner with interactive panes (Zellij-related keywords in catalog)
  • Claude-centric execution path for floating or embedded agent sessions
  • Single-plugin Claude Code entry (pluginCount: 1) pointing at lobu-ai/lobu
  • Community repo at ~100 GitHub stars focused on agent hosting patterns

Why builders use it

You want user-facing agents in your app, but wiring multi-tenant runtimes, panes, and Claude sessions from scratch is slow and easy to get wrong.

After install, you can lean on Lobu-oriented agent tooling and plugin guidance to embed OpenClaw-style autonomous agents with a clearer terminal and runner model.

At a glance

  • Type - Plugin in AI Agents.
  • Adoption - 0 installs, 100 stars, 0 votes.

FAQ

Who is lobu-ai-lobu for?

Developers productizing autonomous agents for multiple customers who want OpenClaw-style architecture and terminal runner workflows with Claude.

When should I use lobu-ai-lobu?

Use it during Build when designing embedded agents, tenant isolation, and interactive agent panes before you scale usage in production.

How do I add lobu-ai-lobu to my agent?

Install the plugin from Skillselion for lobu-ai/lobu, configure Claude Code to load it, and follow the Lobu repo setup for runners, panes, and your multi-tenant agent deployment.

Discussion

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