holaOS unifies AI agents, tools, memory

holaOS is betting that the next AI interface looks less like a chatbot and more like an agent-operable desktop.

• –Shared memory across agents tackles the fragmentation caused by switching between Claude Code, Codex, and other tools
• –Local-first workspaces give developers more control over files, credentials, runtime state, and durable context
• –MCP, integrations, browser control, and real deliverables make the platform meaningfully more capable than a chat wrapper
• –The broad surface area is also the risk: reliability, permissions, and setup complexity will determine whether this feels like an operating system or another ambitious agent dashboard
• –Open-source availability plus built-in models and BYOK lowers experimentation friction for developers who want flexibility without provider lock-in