LLM Council convenes the people building large language models and agent systems to align on the standards the next internet needs — how agents remember, prove who they are, interoperate, and stay accountable.
Agent memory. Identity. Verification. Interoperability. The hard questions of the agentic web are being answered in isolation, a dozen times over, in incompatible ways. The last wave of AI competed on raw capability. The next one is decided by trust you can check — between humans, between agents, and between the companies building them. That needs a table. This is the table.
Portable, governed context — so agents remember and stay accountable across systems.
A shared way for agents (and the people behind them) to prove who they are.
Claims an agent makes should be checkable — provenance and signed, verifiable work.
Common protocols so agents from different labs can work together without lock-in.
LLM Council is convening its founding members by invitation — leaders and builders at the labs shaping large language models and agent systems. If that's you, request a seat.