Selective Disclosure & Self-Managing DIDs for AI Agents

Closing the Identity Gap in the Age of Autonomous Systems A practical walkthrough to address the identity and security gap in autonomous AI systems. 1. The Exponential Rise of AI Agents In the last few months, we’ve witnessed something unusual even for exponential tech standards: AI agents are not just improving, they’re being adopted at extreme velocity. Projects like OpenClaw, OpenFang, PaperClip, AutoGPT, and newer agent frameworks have reached: • Thousands of GitHub stars in weeks • Active developer ecosystems almost instantly • Real-world experimentation (automation, trading, social agents) “OpenClaw reached comparable adoption milestones in a fraction of the time of previous-generation AI frameworks, reinforcing the hypothesis that agent-based systems follow a compressed exponential adoption curve.” This is not just growth — it resembles a phase transition in software adoption. Key Insight The barrier to creating autonomous software has collapsed: • LLM APIs → cognition layer • T