Tencent AI (@TencentAI_News)
@TencentAI_News
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We spent 6 months on one problem: agents losing context in long sessions.
Ended up building and open-sourcing an agent memory system. A few things we learned:
🪄compressing stale context mid-session cut token usage by 61%
🪄giving agents a structured task map (mermaid-based) made them way less likely to lose track in 30+ step workflows
🪄persona coherence jumped from 48% to 76% once we added dedicated persona memory
repo 👉
Agent memory is genuinely hard and we don't have all the answers. Happy to dig into architecture, benchmarks, tradeoffs, whatever. AMA👇 @TencentDBAbxo2 team is here to talk about it.
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