The proposed architecture replaces traditional anti-detect browser emulation with cryptographic verification. By utilizing the Ed25519 signature standard as defined in IETF RFC 9421, AI agents can now authenticate directly without the need for proxy servers or complex fingerprinting techniques.
Performance metrics show significant improvements compared to conventional methods. The cold start time has been reduced to 5 ms from 1744 ms, while individual request processing time dropped to 15.8 ms from 86.8 ms. Memory consumption per agent has decreased from 500 MB to 0.76 MB.
Current industry practices for agent farms involve running multiple instances of tools like Camoufox, Playwright, or AdsPower. These processes typically consume between 500 MB and 1.5 GB of RAM each, requiring additional resources for residential IP pools and human-like cursor movement simulation.
