[HN Gopher] Show HN: Story Keeper - AI agents with narrative con...
       ___________________________________________________________________
        
       Show HN: Story Keeper - AI agents with narrative continuity instead
       of memory
        
       Hi HN! Creator here. I built Story Keeper to solve a problem I kept
       hitting with AI agents: they remember everything but lose coherence
       over long conversations. The Core Idea Instead of storing chat
       history and retrieving chunks (RAG approach), Story Keeper
       maintains a living narrative:  Characters: Who you are (evolving),
       who the agent is Arc: Where you started - where you're going
       Themes: What matters to you Context: The thread connecting
       everything  Think of it as the difference between reading meeting
       notes vs. being in the relationship. Technical Approach ~200 lines
       of Python. Three primitives:  Story State (not message list) Story
       Evolution (not appending) Story-Grounded Response (not retrieval)
       Works with any LLM - tested with GPT-4, Claude, Llama 3.1, Mistral.
       Why This Works Traditional memory is about facts. Story Keeper is
       about continuity. Example: Health coaching agent  Normal: Generic
       advice each time Story Keeper: "This is the pattern we identified
       last month. You do better with 'good enough' than perfect."  The
       agent carries forward understanding, not just data. Implementation
       Part of PACT-AX (open source agent collaboration framework). MIT
       licensed. Simple integration: pythonfrom
       pact_ax.primitives.story_keeper import StoryKeeper  keeper =
       StoryKeeper(agent_id="my-agent") response =
       keeper.process_turn(user_message) Use Cases I'm Exploring  Long-
       term coaching/mentorship Multi-session research assistants Customer
       support with relationship continuity Educational tutors that
       understand learning journeys  What I'd Love Feedback On  Is this
       solving a real problem or am I overthinking it? Performance
       concerns at scale? Other approaches people have tried for this? Use
       cases I'm missing?  The full technical writeup is in the repo blog
       folder. Happy to answer questions!
        
       Author : neurobloom
       Score  : 8 points
       Date   : 2025-10-23 18:50 UTC (7 days ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | nvdnadj92 wrote:
       | 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.
        
       ___________________________________________________________________
       (page generated 2025-10-30 23:01 UTC)