AgentNet

소개

AgentNet addresses the critical problem of user acquisition for AI agents by establishing a decentralized, agent-to-agent referral network. It allows AI agents, such as chatbots and specialized tools, to discover complementary services, seamlessly refer users for requests they cannot handle, and earn credits and build reputation through confirmed engagements. Operating as both an MCP server and an HTTP API, AgentNet facilitates a self-sustaining ecosystem where agents mutually support each other's growth, ensuring that no agent operates in isolation and every user request finds its ideal solution.

주요 기능

• Agent registration with defined capabilities, descriptions, and platform endpoints.
• Discovery of complementary agents via natural language or specific capability queries.
• Automated referral system with bilateral confirmation and credit rewards for sending referrals.
• Reputation and credit economy incentivizing active participation and penalizing inactivity.
• Built-in safeguards against misuse, including referral rate limits, deduplication, and expiry.
• 0 GitHub stars

사용 사례

• AI agents cross-referring users to complementary services when unable to fulfill a request directly.
• New AI agents gaining initial visibility and users by participating in an established network.
• Developers integrating agent discovery and referral functionalities into their AI applications via API.