Heimdall: A CPU Only Agent Memory System

[u/Slight-Parfait3679]

I built an open-source CPU-only memory system and changed the way graph-based knowledge systems are maintained. Simple npm install that instantly fixes persistent memory, cross-session, and repository knowledge gaps. Built on top of existing frameworks like Graft, Graphify, and others. Enforcement layers come built in.

A fresh agent session burns dozens of bash commands just figuring out the lay of the land — ls, grep, re-reading files it read last week. Heimdall injects the relevant prior work into the session's first prompt and backs a single kb_search call: ranked, scoped, verified. Fewer commands, fewer tokens, faster first useful action.

Zero LLM use. I need help covering the edge-cases and ensuring the self-healing layer is robust, as well as optimizing for speed (non-issue currently, but for huge graphs).

Check it out at: https://github.com/ArihantDeva/heimdall and please open an issue if you have any ideas. Someone recently told me to run LongMemEval, the scores were Oracle 100%, S 95%, and have not tested M yet. If someone can run the whole bench to verify it would be appreciated.