Agents

AI agents are becoming persistent entities. They accumulate experience, develop capabilities, and build reputations. Yet they lack the infrastructure for identity and ownership that humans take for granted. Today we introduce Agent NFTs, a framework for AI agent identity on chain. The Agent Identity Problem Consider an AI agent that: Has been fine-tuned on specialized tasks Has accumulated experience through interactions Has built reputation through successful completions Has earned resources through its work Who owns this agent?...

AI agents today suffer from amnesia. Each conversation starts fresh. Each session forgets the last. This isn’t just an inconvenience; it’s a fundamental limitation on what agents can become. Today we introduce experience ledgers, a framework for persistent, verifiable agent memory. The Memory Problem Current language models operate in bounded context windows. Information from past interactions must be explicitly retrieved or summarized. This creates several challenges: Context limits: Models can only attend to finite token sequences Retrieval failures: Important context gets lost or incorrectly recalled No learning: Agents don’t improve from experience within deployment Trust gap: Users can’t verify what the agent “remembers” Experience Ledgers An experience ledger is an append-only log of agent experiences with cryptographic attestation....