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LangChain on Pulse

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The full thread of our LangChain coverage — a running record of every development we've tracked, with the VC take on each.

3
Stories
0
With a headline figure
Jun 19, 2026
Since

Coverage Timeline

newest first
  1. Jun 26, 2026AIA New Agentic Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26M→
  2. Jun 19, 2026AI7,000 Langflow Servers Are Under Attack -- and LangGraph and LangChain Share the Holes→
  3. Jun 19, 2026AI7,000 Langflow Servers Are Under Active Attack -- and LangGraph and LangChain Share the Holes→

All Coverage

AI

A New Agentic Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26M

A 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.

Jun 26, 2026
AI

7,000 Langflow Servers Are Under Attack -- and LangGraph and LangChain Share the Holes

Roughly 7,000 internet-exposed Langflow servers are being actively exploited, and researchers warn the same class of flaws extends to LangGraph and LangChain -- the orchestration backbone of much of today's agent stack. It's a stark reminder that the rush to ship AI agents has outpaced the security hardening underneath them.

Jun 19, 2026
AI

7,000 Langflow Servers Are Under Active Attack -- and LangGraph and LangChain Share the Holes

Roughly 7,000 internet-exposed Langflow servers are under active attack, and security researchers warn that the same class of vulnerabilities extends to LangGraph and LangChain -- the de facto plumbing of the agent boom. As enterprises rush AI agents into production, the orchestration layer is emerging as a soft, high-value target.

Jun 19, 2026
@Trace_Cohen·t@nyvp.com