🧩 Signet: Local-First Agent State and Identity Management

As AI agents become more common, managing their state becomes a distinct engineering challenge. This project focuses on providing local-first identity, memory, and secret management for agents. It is exploring a standardized state layer that allows agent context to be portable across different models and execution harnesses. The hard part is not making an agent remember a single prompt, but maintaining identity consistency and data security across complex workflows. By decoupling state from specific LLMs, it offers an interesting infrastructure perspective for building more complex, cross-platform autonomous agents.