Asisas 2026 Experiment Directory

Type: kb/types/index.md

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• Agent memory systems comparison table (note) - Human-readable comparison table of the code-reviewed agent memory systems: a one-line description plus the fields that discriminate — storage substrate, read-back direction, push targeting (coarse vs instance), trace-derived learning, and whether memory acts as an enforced gate. Rebuild with scripts/render_systems_table.py; full flag sets live in systems.csv.
• Karpathy LLM Wiki Gist Agent-Memory Reproducible Core
• Review framework and comparison matrix: design and decisions (note) - Design rationale for the agent-memory-systems review framework and comparison matrix: extractable lead tokens, one-hot columns, and write/read lifecycle split.