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Developer Builds "Sloth", a Zero-LLM Memory System to Stop Agents Forgetting Context

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A developer on DEV Community describes frustration with an AI agent that repeatedly lost track of prior information. In response, they built a memory component called Sloth that does not rely on a large language model. The system is designed so the agent does not need to re-explain previously established context. The article text on the platform did not render correctly, so further technical details about how Sloth works could not be confirmed from the source.

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