What if AI agents skipped language entirely to communicate?
Skills:
Agent Foundations90%
Instead of passing text between subagents, Ramp's research team found a way to pass KV cache directly — skipping token space entirely. Same accuracy, fewer tokens. Alex Shevchenko, Head of Applied Research at Ramp, breaks down how it works and why it matters for multi-agent systems.
This clip is from Max Agency, a #podcast about how the best AI agents are actually being built. Hosted by Harrison Chase, CEO of LangChain, each episode goes deep with the builders designing, deploying, and learning from real agent systems in the wild. From architecture decisions to evals, tooling, and failure modes, Max Agency is for people who want to understand what it really takes to build useful agents.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Understanding Real-Time Customer Intent: The New Frontier for Retail AI Chatbots
Medium · AI
Artificial Intelligence Is Not Replacing Humans - It’s Replacing Certain Behaviors
Medium · AI
How I cut my LangChain agent's token costs by 93% with one import
Dev.to · Mahika jadhav
5 Passive Income Streams Your AI Agent Can Run While You Sleep
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI