Memory Intake

What it does

The memory-intake skill enables AI agents to ingest and store new information into their persistent knowledge base. It allows agents to update existing records or create fresh entries based on provided context, ensuring long-term retention of specific data points.

When to use it

• You need an agent to remember a user's personal preferences for future interactions.
• The agent requires updating its internal database with new project specifications or technical constraints.
• You want the system to log specific events, such as meeting notes or transaction details, for later retrieval.
• An agent needs to learn from a newly uploaded document or dataset to answer questions accurately.

Key capabilities

• Ingests structured and unstructured data into the agent's memory store.
• Supports updating existing memory entries with new information.
• Creates new distinct records based on incoming context.
• Integrates within the neural-memory ecosystem for persistent storage.

Example prompts

• "Ingest this product manual so I can ask questions about its specifications later."
• "Update your memory to note that my preferred contact method is email, not phone."
• "Store these meeting minutes in your long-term memory for the upcoming project review."

Tips & gotchas

Ensure the input data is formatted clearly to help the agent parse and categorize the information correctly. Verify that the agent has write permissions to the specific memory store before attempting ingestion.