OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
MetriQ AI
About MetriQ AI
MetriQ AI provides a single workspace where users can connect and switch between multiple AI models such as ChatGPT, Claude, Gemini, and Grok. The tool maintains shared memory across conversations, files, and projects so context is preserved when switching models or revisiting work. Users can view, manage, and remove stored memories directly within the workspace. The platform supports real-time context retrieval from linked conversations without manual copying or pasting. It includes an account system with authentication, password hashing, JWT cookies, and protected routes backed by Prisma and Postgres. MetriQ also offers direct support via email for billing, account, or technical questions.
Key features
- Shared memory across conversations
- Model switching without losing context
- Direct integration with ChatGPT, Claude, Gemini, Grok
- Account authentication with JWT and Prisma
- Visible memory storage and management
- Postgres-backed user model
- Direct team support via email
- Context retrieval from linked conversations
Use cases
- Managing multi-model AI workflows
- Preserving project context across model switches
- Reviewing and organizing stored memories
Pros
- Connects multiple AI models in one workspace
- Preserves context when switching models
- Visible and manageable shared memory
- Supports authentication and account management
- Direct email support for users
Cons
- No free tier mentioned
- Requires account creation
- Limited to supported AI models
- Email-only support
Frequently asked questions about MetriQ AI
Which AI models does MetriQ support?
MetriQ integrates models such as ChatGPT, Claude, Gemini, and Grok within a single workspace, allowing users to connect and switch between them without losing context.
What is shared memory, and how does it work?
Shared memory automatically captures and retains project context, including conversations, files, and insights, making it available across all connected models and sessions.
Can I see what MetriQ remembers?
Yes, users can view, manage, and remove stored memories directly within the workspace to control what context is retained.
Can I switch models during a project?
Yes, users can switch between different AI models mid-project while preserving the same conversation and project context.
Where can I get account or billing help?
Users can email metriqai.team@gmail.com for direct support with account, billing, or technical questions, as every message is read by the MetriQ team.
How does MetriQ preserve context when switching models?
MetriQ carries forward all relevant context, including facts, preferences, and prior interactions, so users do not need to re-explain or re-enter information.