Company intelligence

LangMem

AI infraActive
We're still building this profile — here is what Pulse has covered.

Recent changes

  1. Jun 26, 2026A New Agentic-Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26M Pulse story

Latest Pulse

  1. A New Agentic Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26MA newly detailed agentic memory framework reportedly answers queries using about 118,000 tokens, versus roughly 3.26 million for the widely used LangMem approach -- a ~28x efficiency gain. As AI agents take on longer, multi-step tasks, how they store and retrieve memory is becoming a decisive factor in both cost and capability.→
  2. A New Agentic-Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26MA new agentic-memory framework reportedly answers queries using about 118,000 tokens, versus roughly 3.26 million for the widely used LangMem approach -- a nearly 28x reduction in token consumption. As AI agents proliferate, how efficiently they remember and retrieve context is becoming a decisive driver of cost, latency and viability.→
No Value Add Pulse story covers LangMem yet. This profile is built from filings, registries and sourced research — every figure above carries its date and source.

Related Companies

More on LangMemAI Buildout Tracker →Big Tech AI Spending →AI Valuations →