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11 lines
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11 lines
1.3 KiB
# Long Term Memory |
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Long term memory in an AI agent stores important information for future use, like a digital notebook. It saves facts, past events, user preferences, and learned skills so the agent can make smarter and more consistent decisions over time. Unlike short-term memory, this data survives across sessions. When a similar situation comes up, the agent can look back and use what it already knows. Long term memory usually lives in a database, file system, or vector store and may hold text, numbers, embeddings, or past conversation states. Good management of long-term memory is key for building agents that feel personalized and get better with experience. |
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Visit the following resources to learn more: |
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- [@article@Long Term Memory in AI Agents](https://medium.com/@alozie_igbokwe/ai-101-long-term-memory-in-ai-agents-35f87f2d0ce0) |
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- [@article@Memory Management in AI Agents](https://python.langchain.com/docs/how_to/chatbots_memory/) |
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- [@article@Storing and Retrieving Knowledge for Agents](https://www.pinecone.io/learn/langchain-retrieval-augmentation/) |
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- [@article@Short-Term vs Long-Term Memory in AI Agents](https://adasci.org/short-term-vs-long-term-memory-in-ai-agents/) |
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- [@video@Building Brain-Like Memory for AI Agents](https://www.youtube.com/watch?v=VKPngyO0iKg)
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