![[P] Implemented ACT-R cognitive decay and hyperdimensional computing for AI agent memory (open source)](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-server-room-ecVW4zMJjpPttojVbHXZCX.webp)
[P] Implemented ACT-R cognitive decay and hyperdimensional computing for AI agent memory (open source)
Hey there, superstar! Imagine our smart robot friends have a super-duper brain, just like you!
This news is about making their brain even better at remembering things!
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Memory Magic: Think of their memories like your toys. If you don't play with a toy for a long, long time, you might forget where it is, right? But your favorite toy is always easy to find! Robots now do that too. Old, unused memories quietly fade, and important, often-used ones stay bright and shiny! This helps them only think about what's important right now.
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Super Secret Code: They also have a special way to store ideas, like a secret code! Instead of just saying "red ball," they mix up three ideas like a yummy smoothie: "what it is," "what it does," and "what to do with it." This makes their ideas super clear and easy to find, like finding your favorite block in a big pile!
So, robots are getting better at remembering important stuff and forgetting the old, boring bits! Isn't that cool?
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-dim binary hypervectors: state x role x action. Routing uses Hamming distance rather than cosine similarity - works surprisingly well for sparse, structured agent state. Background Edge Synthesis A background process autonomously discovers and links semantically similar memory nodes. The graph selfo
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