.ava: A Compressed Symbolic Notation for Persistent AI Agent Memory
.ava: A Compressed Symbolic Notation for Persistent AI Agent Memory
LLM agents operating continuously face a fundamental constraint: the finite context window limits memory between sessions. We present .ava, a compressed symbolic notation achieving 2.65x compression ratio in tokens compared to French natural language. Unlike vector memories, .ava is human-readable, editable, and version-controllable. We formalize its grammar, report fine-tuning experiments on Qwen2.5-1.5B (6 GB VRAM, 78.5% token accuracy), and propose a cognitive architecture including the concept of curvature. Also available in French: .ava : Une notation symbolique compressée pour la mémoire persistante d'agents IA
.ava notation, agent memory, context window, persistent agents, tokenization, symbolic compression
.ava notation, agent memory, context window, persistent agents, tokenization, symbolic compression
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