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Platform Overview

MemoryLake AI provides a unified model routing and multimodal task entry point, compatible with mainstream protocols and channels, helping you efficiently and securely integrate AI capabilities in production environments.
Core features illustration showing unified entry point, intelligent routing, fine-grained control, and team collaboration

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Core Capabilities

  • Unified Entry Point: Compatible with mainstream protocols like OpenAI, Claude, and Gemini, requiring no modifications to existing client code
  • Intelligent Routing: Automatically selects optimal channels with retry and fault tolerance support, ensuring service stability
  • Fine-grained Control: Token quota management, quota allocation, and usage statistics to meet enterprise-level requirements
  • Team Collaboration: Supports multi-user collaboration, role-based permissions, and invitation management, ideal for team use

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Quick Start

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Model Router

A unified model routing and multimodal task entry point, compatible with mainstream protocols and channels.

Model Router

A single entry point covers mainstream models and tasks, compatible with OpenAI-style calls without SDK changes.

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Team Collaboration

Manage multi-user collaboration entry points with teams, roles, invitations, and quotas.

Team Collaboration

Share call entry points, quotas, and logs with colleagues while maintaining clear separation of permissions.

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Getting Started

  1. Obtain a Token: Generate an API Key in the console, set quota and expiration time.
  2. Browse Documentation: Choose Model Router or Team Collaboration to start exploring.
  3. First API Call: Refer to the Model Router documentation to complete your first API call.
  4. Dive Deeper: Review detailed documentation for each feature module to learn more advanced capabilities.