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New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.
Summary
Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this
Why It Matters
Makes coding agents and automation tools more practical for engineering teams.
Referenced Coverage & Sources
New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.
VentureBeat•Jun 26, 2026
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