HolaOS
HolaOS is an open-source, local-first AI agent workspace designed to unify multiple AI agents such as Claude Code and Codex. It provides a single environment where agents can operate across your tools, applications, browser, and files, with access to over 100 integrations and MCP (Model Context Protocol) servers. The platform features shared memory, allowing agents to learn your working context in minutes and retain that information across sessions. Users can either use built-in models or bring their own API keys (BYOK) for flexibility and privacy. HolaOS aims to reduce the friction of managing multiple AI agents by providing a cohesive interface and persistent context, making it suitable for developers and professionals who rely on AI assistance for daily tasks.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
HolaOS solves the problem of fragmented AI agent usage by providing a unified local-first workspace with shared memory, enabling multiple agents to work together across tools and files without losing context.
Use cases
- Run Claude Code and Codex across your files and browser
- Connect 100+ integrations and MCP servers
- Maintain shared memory across agents for persistent context
- Use a local-first AI agent workspace for data privacy
- Bring your own API keys or use built-in models
Audience
- Developers
- ML Engineers
- Data Scientists
- Startups
- Hobbyists
Pros
- Open-source and local-first for data privacy
- Supports multiple AI agents (Claude Code, Codex)
- 100+ integrations and MCP support
- Shared memory for persistent context
- BYOK option for model flexibility
Cons
- Requires self-hosting and technical setup
- May have limited documentation for new users
- No official enterprise support or SLA
- Early-stage project with potential instability
- Dependence on external agent ecosystems
Official website: https://github.com/holaboss-ai/holaOS
Canonical LambdaBase page: https://www.lambdabase.com/tools/holaos