ByteChef's Chat Memory v2 compacts chats by whole turns so tool calls stay intact

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ByteChef's Chat Memory v2 addresses a problem where trimming conversation history can split a tool call from its result, confusing AI agents. Instead of cutting individual messages, it stores each conversation as events grouped into turns and compacts only whole turns. With the Turn window strategy, the oldest turns are archived once the history exceeds a set maximum, while the system prompt is always kept. An optional conversation search tool lets the agent query archived events, returning results in pages. The article notes limits, such as summaries not being searchable and archive caps on some storage backends.

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Kisumu shops begin accepting bitcoin via QR codes that settle in M-Pesa

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Audio Formats and Quality Settings Shape Voice AI Performance

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