Fixing LLM memory degradation in long coding sessions
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Long-session LLM memory degradation (entropy) is the silent killer of complex coding projects. Models like Gemini, GPT-4, and Claude all suffer from it, leading to hallucinations and lost context.I've developed an open-source protocol that temporarily "fixes" this issue by structuring the dialogue. It's not the final architectural solution, but it’s a proven patch for developers working right now.Looking for feedback from the community on how we can solve this structurally. https://github.com/robertomisuraca-blip/LLM-Entropy-Fix-Prot...
HN · launched Nov 27, 2025 · 5 upvotes (top 90%) · 0 views
Niche: ai agent memory infrastructure · 350 launches, 11 in the last 7 days ▼ -58% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Hobby / open-source project
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Could you build this?
Yes This is a prompting protocol and structured context/dialogue management script designed to prevent LLM context degradation in coding sessions.
Discussion
5 comments analyzed.
Competitors
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Launched 16 days after the earliest competitor.
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