by holaboss-ai
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.
# Add to your Claude Code skills
git clone https://github.com/holaboss-ai/holaOSLast scanned: 4/22/2026
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}holaOS is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by holaboss-ai. Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines. It has 10,850 GitHub stars.
Yes. holaOS passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/holaboss-ai/holaOS" and add it to your Claude Code skills directory (see the Installation section above).
holaOS is primarily written in TypeScript. It is open-source under holaboss-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh holaOS against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Most agent products hand you a finished product and hope it fits your work. HolaOS hands you the parts. Apps, chat tools, skills, integrations, models, agents, memory — you assemble the workspace around how your work actually runs, and change it whenever the work changes. Because everything runs locally, customizing it never means handing your work to someone else's cloud.
Install apps from the in-workspace marketplace and they open as real, interactive surfaces right beside your agent. Watch it work inside the app, step in whenever you want, and the result lands in place — not a wall of chat text, but the actual app, driven by the agent, next to the agent.
Most work context never makes it into a document. It's in a Slack thread, a Feishu group, a DingTalk message. Connect the chat tools your team already uses and your agent works from the real conversation — not from your summary of it.
Where the context really is — decisions, requirements, and changes get made in chat and stay there. The agent reads them directly, so you stop re-explaining what was already said.
The tools your team is already in — Slack, Feishu, DingTalk, WeChat. Connect the ones you use, skip the ones you don't.
You decide what it can see — access is granted per tool and per scope, and the agent reads nothing until you approve it.
One account, every model — no keys, no setup, no switching between providers. The latest frontier models are built in: cost-efficient Kimi K3 and GLM 5.2 for everyday volume, plus top-tier GPT 5.6, Claude Opus 5, and Fable 5 for the hard problems. Prefer your own provider? Bring your own keys for OpenAI, Anthropic, or any OpenAI- or Anthropic-compatible endpoint — those run on your account, not your holaOS plan.
Claude Code, Codex, and the built-in holaOS agent — side by side, no switching. Whichever you run, it shares the same memory, tools, skills, and apps. Use the best agent for the job without rebuilding your setup every time.
Context, preferences, and project history live in a single shared memory — stored locally, as plain files you can read and edit. Switch agents, close the app, come back next week: it already knows where you left off.
.xlsx, .pptx, and .docx files you can send, not text stuck in a chat.An agent that can reach your tools, your chats, and your whole machine only makes sense if you stay in control of it. That control is built into how HolaOS works, not bolted on as a setting.
Local-first, not cloud-first — workspace files, memory, embeddings, and session history all live on your own disk. There is no copy of your work on our servers.
We can't see your data — not your files, not your memory, not your conversations. It isn't a policy we promise; it's a place your data never goes.
Every action is approved by you — connecting a tool, reading a thread, editing a file. The agent asks first, and you decide what it can reach and what stays off limits.
Visible and reversible — open what the agent remembers, edit it, delete it. Memory is a folder you can read, not a black box.
Your own keys, your own contracts — route inference through your own model provider if that's what your policy requires.
The fastest way to set up your workspace is to start from someone else's working setup. On HolaHub, creators publish agent recipes that already run — model, prompt, skills, MCP, integrations — and anyone installs one in a click and gets the same result. Share what you built, run what other people built.
One click to share — package any run in HolaOS and post it to the Hub, process and result together. No export, no rewrite, no second account.
One click to reproduce — every skill, MCP, image, or video on the Hub runs in your own workspace instantly. Discovery and installation are the same gesture.
Recipes, not just outputs — each post opens up into how it was made: the session behind a skill