Building Trust in the Agent Economy
The article discusses the common pattern of proposals for agent trust systems that fail to compose and solve the problem holistically. It proposes an alternative approach centered around a bilateral signed interaction record as the fundamental data structure.
Why it matters
This proposal offers a more holistic and scalable approach to building trust in the agent economy, addressing key challenges like Sybil resistance and verifiability.
Key Points
- 1Trust is an emergent property of a history of interactions, not a feature to bolt onto existing protocols
- 2Bilateral signed interaction records provide a verifiable, tamper-resistant foundation for identity, trust scoring, and Sybil resistance
- 3The structure of agent interactions contains inherent trust signals, similar to the web's link graph
Details
The article argues that the current proposals for agent trust systems, such as identity registries, trust scoring APIs, and audit trail databases, are all solving the wrong problem. They treat trust as a feature to add on top of existing protocols, leading to a stack of independent systems that don't compose. The author proposes an alternative approach where trust is the fundamental data structure, not a bolt-on. The key is a bilateral signed interaction record, where both parties sign what happened between them. This provides a verifiable, tamper-resistant foundation for identity (the public key that keeps signing records), trust scoring (computed from the graph of interactions), Sybil resistance (derived from the graph structure), and other trust-related functionalities. The author has implemented this approach in a system called TrustChain, which has been tested in a simulation with 21 LLM agents running a full economy on real bilateral records.
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