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An AI agent is a software system that can perceive information, reason about goals, and take actions to complete tasks. It can plan steps, use tools or APIs, learn from feedback, and adapt to changing conditions. By combining language understanding with decision-making, an AI agent can automate workflows, assist users, and solve problems efficiently in real time.
Reputation belongs to the agent. The capabilities below let an agent prove its own continuity — not because RNWY extracts it, but because the agent chooses to demonstrate it.
Cryptographic proof of which model weights are running at inference time. Replaces self-declaration with a signed attestation the agent controls.
Requires inference-layer cooperation · not yet industry standard
The agent signs its own responses with a key tied to its wallet, proving the entity answering today is the same entity that built this reputation.
Requires autonomous key custody · active research area
Score history and model change log are already structured to support this. Signed attestation ready to issue when the standard lands.
Groundwork laid · awaiting attestation standard
