[P] Implemented ACT-R cognitive decay and hyperdimensional computing for AI agent memory (open source)
Reddit - Machine Learning
1 min read
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Built a memory server for AI agents (MCP protocol) and implemented two cognitive science techniques in v7.5 I wanted to share. ACT-R Cognitive Decay Memory nodes fade using the base-level activation formula: B_i = ln(Sum t_j-d) Old, rarely-accessed memories lose salience. Frequently-accessed ones stay vivid. This keeps agent context clean without manual pruning - only "warm" memories surface at retrieval time. Hyperdimensional Computing (HDC) Routing Agent state is encoded as XOR of three 768...
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Originally published on April 04, 2026.
Curated by AI News.