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AI Agent Analysis
HO

holaboss-ai/holaOS

Open-source All in One AI agent workspace. Run any agent — Claude Code, Codex — across your tools (100+ integrations + MCP), apps, browser, and files, with shared memory. Built-in models or BYOK.

stars
7.3k
Language
TypeScript
GitHub
Source and compliance noteLast synced: Aug 15, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy

Overview

holaOS is an open-source, local-first AI agent workspace that lets developers run multiple agents—Claude Code, Codex, or its built-in agent—side by side within a single desktop application. It unifies tools, apps, browser, and files through 100+ integrations and MCP, with a shared memory system stored as editable plain files, and offers built-in frontier models or bring-your-own-key (BYOK) options.

Installation

Download the desktop app from the website or build from source; quick start via `npm install` and `npm run dev` after cloning the repo (see docs at holaos.ai/docs/getting-started).

Problem solved

It solves agent fragmentation and context loss by providing a single workspace where different agents share the same memory, tools, and skills, eliminating the need to rebuild setups when switching agents. It also addresses provider lock-in and API key management by offering built-in models with zero setup and BYOK flexibility, while keeping data local and user-controlled.

What you can build

Developers can build autonomous workflows that span coding, file management, web browsing, and third-party app interactions, all orchestrated by any supported agent. Real-world use cases include automated code generation and refactoring, multi-step research and data extraction, personal assistant tasks, and complex project management with persistent context. The ceiling is high: with MCP support and shared memory, agents can handle long-running, cross-tool projects that require continuity and adaptability.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

holaOS is ideal for developers and power users who want a flexible, local-first agent workspace without vendor lock-in, especially those who switch between agents or need persistent memory. It may be less suitable for teams requiring cloud collaboration or those who prefer a single, tightly integrated agent. The key trade-off is between the convenience of built-in models and the complexity of managing a multi-agent environment.

Analyzed by Git-Stars - 8/13/2026