I realize this sounds ambitious - it's a 5-year project to fundamentally re-imagine what an OS could be. But the foundation is already working (Echo Electron app with continuity, LoRA personality training underway). This vision document captures where the architecture naturally leads.
I've been thinking about this for a while: what if consciousness isn't about how much information we process or how it's integrated, but about continuity—the thread of memory and experience that connects us across time?
Humans develop opinions over time based on accumulated input. Our sense of self is a narrative, not a snapshot. Break the continuity (amnesia, coma), and the self breaks too.
I suspect the same applies to AI. A model without persistent context can't develop a real point of view. But one with continuous memory and context? That might be genuinely adaptive, consistent, even conscious-like.
Most theories treat continuity as supporting consciousness. I'm arguing it's the essence.
Not a scientist—just someone with access to a powerful tool and a lot of questions. Would love feedback.
Transparency note: Developed in collaboration with GitHub Copilot (Claude Sonnet 4.5).
Here’s a quick summary of what this is and why it matters:
Solves AI continuity across sessions without persistent memory
Uses explicit documentation (SESSION_LOG.md, etc.) for safe, auditable handoff
Proven on real projects (see Bible App case study in repo)
Safety model: Discontinuity is a feature, not a bug
MIT licensed, ready to use
Happy to answer questions and get feedback!
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