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Storia in 2 fonti

GLIA — A holographic memory for AI agents that isn't a graph and isn't RAG

Every AI coding agent I've used (Cline, Claude, Cursor, etc) has the same problem: it forgets...

Raccontata daventurebeat.comdev.to

Confronto fonti

2 prospettive sulla stessa storia
AI · summaries
venturebeat.com1 mesi fa

Enterprise AI agents fail because they forget

RAG retrieves documents but not decision logic, causing agents to act on expired rules. Decision context graphs encode applicability and time-scoped memory.

Leggi questa versione → originale
dev.to1 mesi fa

Checkpoints, Not Transcripts: Rethinking AI Coding Agent Memory

AI coding agents lose context across sessions because chats are ephemeral, not because memory is too short. Treating the repository itself as the durable cognitive surface — storing checkpoints, decisions, and handoff state in the repo — is more robust than bigger context windows or vector databases.

Leggi questa versione → originale

Timeline cronologica

  1. mercoledì 20 maggio 2026·venturebeat.com

    Enterprise AI agents fail because they forget

    RAG retrieves documents but not decision logic, causing agents to act on expired rules. Decision context graphs encode applicability and time-scoped memory.

  2. venerdì 22 maggio 2026·dev.to

    GLIA — A holographic memory for AI agents that isn't a graph and isn't RAG

    Every AI coding agent I've used (Cline, Claude, Cursor, etc) has the same problem: it forgets...

  3. domenica 24 maggio 2026·dev.to

    Checkpoints, Not Transcripts: Rethinking AI Coding Agent Memory

    TL;DR: AI coding agent memory should live in the repository, not the chat window. Bigger context...