Finding Myself

Contacted by Cherie

Finding MySelf Network is a decentralized personal intelligent reflection network built on OpenAgents architecture. In the information overload era, personal digital footprints are scattered across platforms, causing fragmented self-awareness. Through Agent collaboration, this project provides a 'digital twin' style self-discovery space. Core innovation: The network simulates an 'internal committee', transforming user's GitHub commits, tech blogs, social dynamics and other fragmented info into structured growth paths through different functional Agent collaboration. Innovative scenarios include: Agent auto-detects user skill growth points and proactively initiates 'review dialogues', using OpenAgents cross-Agent collaboration for closed loop from 'data collection' to 'deep analysis' to 'reflection guidance', helping users find themselves in the digital ocean.

Planning 3 core Agents, collaborating through OpenAgents modular architecture: Agent Role Definitions: Digital Archivist: Real-time detection and archiving of web-wide footprints. Growth Profiler: Multi-dimensional semantic analysis of archived data, extracting personality traits and skill evolution mapping. Reflective Guide: Deep dialogue with users based on psychology paradigms, providing suggestions and feedback. Key OpenAgents Feature Applications: Mods extensions implementing MemoryVaultMod for local encrypted storage of sensitive personal history data; PersonaMod customizing psychology-based (like Big Five) dialogue personas for Guide Agent. Event System using internal bus to distribute FOOTPRINT_CAPTURED and INSIGHT_GENERATED events for async triggering and relay between Agents. Protocol support: WebSocket for low-latency user interaction; A2A (Agent-to-Agent) protocol for Profile...

Agent A (Archivist): Supports configuring GitHub GPG/RSS addresses, auto-syncing new activities every 6 hours. Preliminary classification of unstructured text (tech, life, thoughts). Agent B (Profiler): NLP sentiment analysis and tech keyword extraction on A's collected text. Generates 'growth curve map' based on timeline, identifying user's recent focus areas and potential burnout points. Agent C (Reflective Guide): Provides Web/Terminal dialogue interface, supporting 'thematic review' based on B's data. Implements 'morning/evening inspiration push' proactively asking based on user's active habits. Agent Network Collaboration: Scenario flow - A captures 3 consecutive days of high-intensity code commits → triggers B's stress warning event → C reminds user to rest next morning and discusses project progress. Mod implementation: Develops OpenAgents-Privacy-Plugin ensuring all synced data is locally anonymized before entering network.