AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Reframes AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → state around a durable, append-only session log so your agents survive crashes, resume on any device, and fork timelines — a portable primitive that outlives interchangeable models, runtimes, and tools.
Key quotes
“The character lives in the data and this is the framing that I want to bring to agents.”
Ishaan Sehgal
“The important insight is not that this loop is complicated. The important insight is that the loop is disposable.”
Ishaan Sehgal
“If a provider owns your log, then the provider effectively owns your agent”
Ishaan Sehgal
“agents are arguably the most intimate piece of technology you'll ever run”
Ishaan Sehgal
“Because you're going to stop treating the log as this exhaust from the system, and you're going to treat it as the system itself.”
videoWhy AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMax
videoYour company brain will leak secrets: how we stopped it for big banks — Tanmai Gopal, PromptQL
videoTethered: Our Agents Are Us — Shu Fang, Two Sigma
videoAgents' next frontier: agent-to-agent and network effects — Jean-Denis Greze, Town
