A celebrity-backed AI memory project hit 45,000 GitHub stars in under a week and briefly became the focal point for a much larger argument about what AI memory systems actually are. Public discussion quickly split between the launch story and the implementation reality: a ChromaDB collection, a SQLite triple
Every call to get_edges_from allocated a new Vec. In a graph query that expands 10,000 nodes, that was 10,000 heap allocations in the hot path. The fix required changing one function signature and rethinking how adjacency lists expose their contents. This article explains how MinnsDB'
Query engines waste time re-evaluating constants inside hot loops. In MinnsDB, a single IN (...) predicate with 5 literal values evaluated against 100,000 binding rows produced 500,000 redundant expression evaluations. The fix was not a new index or operator, but query-time specialization: evaluate the constant part once, then run
#agents#ai#llm#rag You ship an agent. It works well in the demo. Users start using it daily. After a week, someone asks: "Why did you suggest the same thing you suggested on Monday? I told you that didn't work." Your agent has no answer
Agent memory has gotten good at answering "what does the agent know?" Your agent can store that Alice lives in Berlin and retrieve it later. That part works. The harder question is when. When did Alice move to Berlin? Where did she live before? Did her job change
Your OpenClaw agents can now remember, learn, and build on past experience. We are shipping @minns/openclaw-minns (v0.7.2), a plug-and-play integration that connects OpenClaw to minns.ai and gives every agent persistent memory, learned strategies, and semantic search out of the box. npm install @minns/openclaw-minns Why This
We're excited to announce the release of minns-sdk (v0.4.4), a lightweight TypeScript SDK for minns.ai, the self-evolving agentic database that transforms discrete events into semantic graphs packed with memories, strategies, and claims. If you're building autonomous agents or LLM-powered applications, you've
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