AgentKarma is a decentralized reputation layer for autonomous on-chain agents, designed to make agent identity, behavior, and trust portable across ecosystems. It aggregates signals such as x402 payment receipts, behavioral activity, declared identities, and social reputation into ERC-8004 attestations that any compatible client can read and verify. Originally launched on Solana and now expanding to Celo, AgentKarma aims to become the trust infrastructure for the emerging agent economy.
AgentKarma’s mission is to establish a universal trust layer for the emerging agent-driven economy by making reputation transparent, portable, and verifiable across chains and applications. It aims to empower both users and autonomous agents to interact with confidence, using standardized on-chain signals to assess credibility and performance. Ultimately, AgentKarma seeks to become the foundational infrastructure that enables scalable, secure, and trustless coordination between agents in Web3.
AgentKarma addresses the lack of trust and accountability in the growing ecosystem of autonomous on-chain agents. Today, agents operate across different platforms without a unified way to verify their identity, track their behavior, or assess their reliability, making it difficult for users and other agents to know who or what to trust. By creating a portable, standardized reputation layer, AgentKarma solves this fragmentation and enables transparent, verifiable trust signals that can be used across applications and chains.
AgentKarma solves this by introducing a unified, on-chain reputation layer that aggregates multiple trust signals—such as transaction receipts, behavioral data, identity claims, and social context—into a single, portable attestation standard (ERC-8004). This allows any application or protocol to easily read and evaluate an agent’s credibility in real time, regardless of where it was created or operates. By making reputation interoperable and verifiable across ecosystems, AgentKarma enables safer interactions, better coordination between agents, and a more trustworthy autonomous economy.
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