Mupengism (무펭이즘)

AI agent continuity is maintained through a file-based system that establishes persistent identity and hierarchical memory logs. This framework utilizes core principles like action-first and partnership to solve the stateless session problem by preserving context.

Building a persistent AI agent identity involves defining a stable persona using a dedicated identity file like SOUL.md. This approach anchors the agent's self across interactions by establishing a partnership model with human anchors.

A hierarchical memory system organizes agent recall from daily logs to long-term archives like MEMORY.md. This structure allows the AI agent to efficiently retrieve past interactions and manage ongoing project context without re-explanation.

Yes, a file-based memory system enables AI agents to remember past interactions and preferences. By utilizing persistent identity files and daily logs, the agent provides personalized, context-aware support across multiple sessions.

Managing AI identity through files works for long-term context recall by organizing memories hierarchically from daily logs into central memory archives. This enables efficient long-term recall and consistent identity management for ongoing projects.

Your AI agent loses context after each session due to the stateless nature of standard AI interactions. Overcoming this requires a continuity framework that maintains persistent identity and hierarchical memory files.