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EPISODE · Aug 26, 2025 · 48 MIN

Redis and AI Agent Memory with Andrew Brookins

from Podcast Archives - Software Engineering Daily · host SEDaily

A key challenge with designing AI agents is that large language models are stateless and have limited context windows. This requires careful engineering to maintain continuity and reliability across sequential LLM interactions. To perform well, agents need fast systems for storing and retrieving short-term conversations, summaries, and long-term facts. Redis is an open‑source, in‑memory data The post Redis and AI Agent Memory with Andrew Brookins appeared first on Software Engineering Daily.

What this episode covers

A key challenge with designing AI agents is that large language models are stateless and have limited context windows. This requires careful engineering to maintain continuity and reliability across sequential LLM interactions. To perform well, agents need fast systems for storing and retrieving short-term conversations, summaries, and long-term facts. Redis is an open‑source, in‑memory data

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Redis and AI Agent Memory with Andrew Brookins

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This episode is 48 minutes long.

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This episode was published on August 26, 2025.

What is this episode about?

A key challenge with designing AI agents is that large language models are stateless and have limited context windows. This requires careful engineering to maintain continuity and reliability across sequential LLM interactions. To perform well,...

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