Show HN: Story Keeper – AI agents with narrative continuity instead of memory

github.com

AIConversational AINatural Language Processing

Discussion (4 comments)

Showing 4 comments

nvdnadj92

2 months ago

1 reply

After reading this post and the readme, I'm not convinced that this is solving a real, observed problem. You outline an example with the long-term coaching mentorship, but why or how is your solution preferable to telling Claude to maintain a set of notes and observations about you, similar to https://github.com/heyitsnoah/claudesidian?

the jazz metaphors do not help provide additional context.

neurobloom

about 2 months ago

Fair feedback. Claudesidian is a productivity system where you organize knowledge and Claude assists. StoryKeeper is relational infrastructure that maintains emotional continuity across AI sessions and agent handoffs. Different layers of the stack, both valuable. I'll update the docs to make this clearer — appreciate the push for concreteness.

R_D_Olivaw

2 months ago

1 reply

I just finished watching the Animatrix, so forgive me if this is slightly off but,

This strikes me as precisely how we get ai companies that will build, run, and market themselves all while maintaining a consistent "narrative brand arc" that makes us root for them.

I do see your usage cases, but would probably do better in Saleslandia packaged and narrowed down for each particular niche.

I'm curious of this might be beneficial to Writers/world builders.

neurobloom

about 2 months ago

You're seeing something real in all three observations:

AI narrative consistency: Yes, this is infrastructure for maintaining coherent identity over time — whether human ↔ AI or AI-agent organizations. Niche packaging: Agreed. While the core is general infrastructure, entry strategy should be vertical-specific (customer support, coaching, education, etc.) Writers/world-builders: Great callout. Character consistency across long narratives is exactly the kind of "emotional continuity" problem StoryKeeper addresses.

The broader vision is relational infrastructure for AI systems. The go-to-market is specific solutions for specific communities. Writers might be a great early adopter group

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