Paul Iusztin and Louis-François Bouchard on Research Memory

AI Engineer39m 32s
Paul Iusztin and Louis-François Bouchard discussing AI research memory.
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    Paul Iusztin and Louis-François Bouchard describe their difficulty finding and reusing accumulated research. They introduce a customizable workflow that draws on personal notes and other sources to support later projects.

    The speakers trace the system from a single research document to a file-based wiki with immutable raw sources, an index and derived summaries. Paul Iusztin explains how an agent can follow these references progressively and add notes or comparisons as questions arise.

    The demonstrations cover researching a topic, inspecting repositories and ingesting links. Louis-François Bouchard notes that connectors, source provenance and memory compaction remain areas for improvement, and describes the project as a builder-oriented workflow.

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    Paul Iusztin and Louis-François Bouchard discussing AI research memory. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 26 June 2026 and duration 39m 32s.

    Paul Iusztin and Louis-François Bouchard explain a file-based research wiki that helps agents reuse personal notes and sources.