Khaos Brain: An open-source local-first predictive memory system for AI agents
By
Yingxu Liu
Right out the toaster. Reliable, with some real depth.
Summary
Khaos Brain is an open-source, local-first predictive memory system for AI agents that stores experience as visible, Git-versioned file-based cards instead of opaque memory. It enables agents to retrieve relevant past experiences before tasks, write observations afterward, and uses a Sleep/Dream/Architect maintenance cycle to keep the knowledge base reviewable. The system focuses on accumulated experience (conditions, actions, results, failures, reliable routes) rather than simple "remember this" commands.
Key quotes
· 4 pulledI built Khaos Brain because most AI memory features feel too shallow for real agent work.
Saving 'remember this next time' is useful, but the more valuable unit is accumulated experience: what condition appeared, what action was taken, what result happened, which route failed, and which route later became reliable.
Khaos Brain is an open-source, local-first predictive memory system for AI agents. It stores experience as visible file-based cards instead of an opaque memory box.
Agents retrieve relevant cards before work, write observations afterward, and Sleep/Dream/Architect maintenance keeps the library reviewable instead of becoming a black-box memory store.
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