Add possiblity to connect memory via UI

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🔖 Feature description

A user should be able to connect different memory similar to how they are able to connect different Language Models or Vector Databases.

It should be listed as a new tab under this view: https://beta.superagent.sh/integrations

Acknowledgements

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### Identified Components for Memory Integration Feature

#### UI Components
- **Integration Tabs (`/libs/ui/app/integrations/client-page.tsx`)**: To add a new tab for memory integrations, you'll need to modify this file. Include a new `TabsTrigger` and `TabsContent` for the memory integration similar to how storage and language models are implemented.
- **Memory Integration UI (`N/A`)**: You'll need to create a new component similar to `LLM` (`/libs/ui/app/integrations/llm.tsx`) and `Storage` (`/libs/ui/app/integrations/storage.tsx`) for handling the UI of memory integrations. This component should provide forms for connecting to different memory services.

#### Backend Integration
- **API Integration (`/libs/superagent/app/memory`)**: The backend logic for interacting with memory services is likely to be similar to how language models and vector databases are managed. You'll need to extend the API (`/libs/ui/lib/api.ts`) to include methods for creating, updating, and deleting memory integrations.

### Steps to Implement Memory Integration

1. **Update Integration Tabs**:
   - In `/libs/ui/app/integrations/client-page.tsx`, add a new tab for memory integrations by extending the `TabsList` with a new `TabsTrigger` and adding corresponding `TabsContent` for memory.

2. **Create Memory Integration UI Component**:
   - Develop a new React component for the memory integration UI. This component should allow users to configure and connect to different memory services.
   - Ensure this component allows for CRUD operations on memory integrations, similar to the LLM and Storage components.

3. **Extend the API for Memory Services**:
   - In `/libs/ui/lib/api.ts`, add new methods for interacting with the backend memory service. This includes methods to create, read, update, and delete memory integrations.

4. **Integrate Memory Service in the Backend**:
   - Ensure the backend can handle requests to manage memory integrations. This might involve updating the memory class in `/libs/superagent/app/memory` or creating new endpoints.

5. **Testing**:
   - Thoroughly test the UI and backend integration to ensure that users can seamlessly connect, configure, and use memory services through the UI.

### Example Code Snippet for New Tab in Integrations

```tsx
// In /libs/ui/app/integrations/client-page.tsx
<TabsTrigger value="memory" className="space-x-1">
  <span>MEMORY</span>
</TabsTrigger>
<TabsContent value="memory" className="h-full text-sm">
  {/* Memory integration component here */}
</TabsContent>

Conclusion

Implementing this feature requires both frontend and backend changes. The frontend needs a new UI component for memory integrations, and the backend API must support operations related to memory services. Ensure all new code is tested for functionality and integration with existing components.

To add the capability for users to connect different memory types via the UI, similar to the existing Language Models and Vector Databases tabs, follow these steps:

Modify client-page.tsx to include a new tab for Memory:

Add a new TabsTrigger and TabsContent for the memory tab.

<TabsTrigger value="memory" className="space-x-1">
<span>MEMORY</span>
</TabsTrigger>
<TabsContent value="memory" className="h-full text-sm">
<Memory profile={profile} />
</TabsContent>

Create a new component for Memory management (memory.tsx):
- This component should handle the UI for connecting, configuring, and managing memory types. Use storage.tsx and llm.tsx as references for structuring this component.
- Implement forms for inputting memory configuration, similar to how vector databases and LLMs are configured.
Update routing and state management to include memory configurations:
- Ensure that the new memory tab and component are integrated into the application's state management and routing logic, allowing for seamless UI navigation and data handling.
Consider memory concepts from concepts.mdx:
- Integrate the conceptual understanding of memory from the concepts.mdx file to inform the UI design and functionality of the memory management component.

By following these steps, you'll create a consistent user experience for connecting and managing memory types, alongside the existing integrations for Language Models and Vector Databases.

References

greptileai/superagent/libs/ui/app/integrations/client-page.tsx greptileai/superagent/libs/ui/app/integrations/storage.tsx greptileai/superagent/libs/ui/app/integrations/llm.tsx greptileai/superagent/libs/ui/app/integrations greptileai/superagent/fern/mdx/concepts.mdx

Ask Greptile

To implement the feature allowing users to connect different memory options via the UI, similar to language models and vector databases, follow these steps:

Create a New Memory Component:
- Create a new React component in /libs/ui/app/integrations, e.g., memory.tsx. This component should handle the UI for configuring memory options.
- Use existing components like storage.tsx or llm.tsx as a reference for structuring your component, including form handling and API integration.
Update IntegrationsClientPage:
- Modify /libs/ui/app/integrations/client-page.tsx to include a new tab for the memory configurations.
- Add a TabsTrigger for 'MEMORY' and a corresponding TabsContent that renders the new memory component.
Define Memory Configuration Schema:
- If memory configurations require validation, define a Zod schema in the new memory component file similar to how it's done in storage.tsx or llm.tsx.
API Integration:
- Utilize the Api class in /libs/ui/lib/api.ts to create, update, and delete memory configurations. You may need to add new methods to the Api class if specific endpoints for memory configurations are required.
- Ensure the backend supports these operations with the appropriate endpoints.
Update Page Component to Fetch Memory Configurations:
- If necessary, update getServerSideProps in /libs/ui/app/integrations/page.tsx to fetch memory configurations along with other integrations data.

This approach ensures a consistent user experience across different types of integrations and leverages existing patterns for API integration and UI design within the SuperAgent platform.

References

greptileai/superagent/libs/ui/app/integrations greptileai/superagent/libs/ui/app/integrations/page.tsx greptileai/superagent/libs/ui/app/integrations/storage.tsx greptileai/superagent/libs/ui/app/integrations/llm.tsx greptileai/superagent/libs/ui/app/integrations/client-page.tsx greptileai/superagent/libs/ui/app/agents/[agentId]/settings.tsx greptileai/superagent/libs/ui/app/workflows/[id]/llm-dialog.tsx greptileai/superagent/libs/ui/lib/api.ts

Ask Greptile

To add the ability to connect memory via the UI, follow these steps:

Create a Memory Component:
- In /libs/ui/app/integrations, create a new file memory.tsx.
- Use the structure of llm.tsx or storage.tsx as a reference to define a React component that renders a form for configuring memory connections.
Define Memory Schema:
- Similar to openAiSchema in llm.tsx, define a Zod schema for memory configuration in memory.tsx.
Update IntegrationsClientPage:
- In client-page.tsx, import the Memory component.
- Add a new TabsTrigger and TabsContent for the Memory tab, similar to how STORAGE and LANGUAGE MODELS are implemented.
Backend API Changes:
- Ensure there are corresponding API endpoints to create, update, and delete memory connections. This might involve updating the server-side logic to handle memory-specific requests.

These steps provide a high-level overview. The implementation details, such as the schema for memory configuration and the UI design, will depend on the specific requirements for memory connections.

References

/libs/ui/app/integrations /libs/ui/app/integrations/page.tsx /libs/ui/app/integrations/storage.tsx /libs/ui/app/integrations/llm.tsx /libs/ui/app/integrations/client-page.tsx

Ask Greptile

To add the possibility to connect different memory options via the UI, similar to the existing Language Models and Vector Databases tabs, follow these steps:

Create a New Tab for Memory Options
- In client-page.tsx, add a new TabsTrigger and TabsContent for the Memory options next to the existing ones for STORAGE and LANGUAGE MODELS.
Define the Memory Component
- Create a new React component (e.g., Memory.tsx) in the /libs/ui/app/integrations directory. This component should handle the listing, adding, and configuring of memory options.
Implement Memory Integration Logic
- Utilize the Api class methods to interact with the backend for fetching available memory options, adding new connections, and configuring existing ones. You might need to extend the Api class with new methods specific to memory operations if they don't already exist.
Update the Integrations Page
- Ensure the IntegrationsPage component (page.tsx) fetches and passes down the necessary data for memory options to the IntegrationsClientPage component.
Schema Validation
- If your memory options require configuration, define Zod schemas for validating the configuration forms similar to how it's done for vector databases and language models in storage.tsx and llm.tsx.
UI for Adding/Configuring Memory
- In your Memory.tsx component, implement the UI for adding a new memory connection and configuring existing ones. This could involve form inputs for specifying connection details and any other relevant configuration options.
Backend Integration
- Ensure the backend supports these new memory integrations, including endpoints for creating, updating, and deleting memory connections. This might require backend changes outside the scope of the UI codebase.

By following the structure and patterns used for existing integrations, you can extend the application's functionality to include memory options, enhancing the user's ability to customize their agent's capabilities.

References

Ask Greptile

greptileai / superagent