holaboss-ai/holaOS

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.

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.