RoboWork
AI Workspace is a unified frontend that connects multiple leading AI models including OpenAI GPT, Anthropic Claude, Google Gemini, and XAI Grok. It enables users to build custom AI agents, manage prompts, upload knowledge bases, collaborate in teams, and extend capabilities via plugins—all while maintaining privacy through bring-your-own-API-keys (BYOK).

Key facts
What is RoboWork?
A single interface to access, control, and combine multiple AI models, build agents, manage prompts, and collaborate privately with your team.
Who is RoboWork best for?
Solo developers, power users, enterprise teams
What are its main limitations?
- Requires separate API keys from each provider, incurring additional costs beyond subscription
- Free plan is limited in features
- No specific price points disclosed in the available text
Limitations are based on product materials or editorial synthesis; confirm on the official site.
Key features
- ✓Multi-AI model support: OpenAI GPT-5, GPT-4; Anthropic Claude 4.5 Opus, Sonnet; Google Gemini 3 Pro, 2.5; XAI Grok-4
- ✓Custom AI agents with system instructions, starter prompts, and assigned models
- ✓Smart Prompt Library with tags, variables, and reuse
- ✓Knowledge Bases: upload PDF, Markdown, CSV files for contextual AI retrieval per agent
- ✓Extensible plugins: MCP servers, web search, Web Canvas, Artifacts
- ✓Team workspaces with role-based access, sharing agents, prompts, and knowledge
- ✓Multi-model parallel chats to compare responses side-by-side
- ✓Privacy-first: BYOK, data not trained on, encryption
Use cases
- →Access multiple AI models (GPT, Claude, Gemini, Grok) from one interface
- →Build specialized AI agents for workflows like customer support, research, or content creation
- →Upload documents (PDF, Markdown, CSV) and let AI query them via knowledge bases
- →Collaborate with teams by sharing agents, prompts, and knowledge in workspaces
- →Extend AI capabilities with custom MCP plugins or built-in web search
Pros
- +Single interface for multiple top AI models
- +Customizable agents with instructions and model assignment
- +Privacy-first architecture with BYOK and no data training
- +Lifetime purchase options available
- +Team collaboration with role-based access
Cons
- −Requires separate API keys from each provider, incurring additional costs beyond subscription
- −Free plan is limited in features
- −No specific price points disclosed in the available text
Positioning
- Core value: A single interface to access, control, and combine multiple AI models, build agents, manage prompts, and collaborate privately with your team.
- Ideal for: Solo developers, power users, enterprise teams
- Product type: Web app, macOS app
Frequently asked questions
Is this app free to use?
Yes, you can start using AI Workspace for free with basic features. For advanced capabilities like image generation, web search, multi-model chats, and larger storage, you can upgrade to one of our paid plans.
Is the Lifetime Deal a one-time purchase?
Yes. Our Personal Lifetime Deals (Standard, Extended, Premium) are one-time purchases. You pay once and get lifetime access to all included features, plus all future updates at no additional cost.
What is BYOK and how does it work?
BYOK (Bring Your Own Keys) means you can use your own API keys from providers like OpenAI, Anthropic, Google, and others. Your API keys are stored securely and never shared. This gives you full control over your AI usage and costs.
Which AI models are supported?
AI Workspace supports multiple leading AI providers including OpenAI (GPT-5, GPT-4), Anthropic (Claude 4.5 Opus, Claude 4.5 Sonnet), Google (Gemini 3 Pro, Gemini 2.5), and XAI (Grok-4). New models are added regularly.
Can I use multiple AI models in the same conversation?
Yes. With the Premium plan or any Team plan, you can use multi-model parallel chats to compare responses from different AI models side-by-side, or switch between models within the same conversation.
How does the Knowledge Base feature work?
Knowledge Base allows you to upload documents (PDF, Markdown, CSV, and more) that your AI agents can reference during conversations. You can create multiple knowledge bases and assign them to specific agents for contextual, document-aware responses.
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