
Jun 16, 2026
Loop Engineering in the Context of Personal Agents
How context graphs make AI smarter with every Loop — not just repeating
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OpenLoomi Journal
Product thinking, AI-native workflows, communication systems, and the operating principles behind OpenLoomi.
17 essays and product notes

Jun 16, 2026
How context graphs make AI smarter with every Loop — not just repeating
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Jun 15, 2026
Memory is the most important — and most difficult to measure — capability for AI agents. Our struggles and breakthroughs along the way.
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May 28, 2026
Your AI work partner shouldn't also be your landlord.
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A technical deep dive into Hermes Agent memory, including curated memory files, session search, and self-improving skills.
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A comparison of durable memory, retrieval, and model-facing recall, with a source-level look at OpenLoomi's multi-corpus memory pipeline.
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A technical deep dive into OpenClaw memory, from Markdown source-of-truth files to plugin-backed search and recall.
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A source-level guide to OpenLoomi memory domains, lifecycle compaction, embedding maintenance, vector backends, and cross-source semantic recall.
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An in-depth technical comparison of three AI agent platforms - OpenLoomi, Hermes-Agent, and OpenClaw
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From one-off tasks to long-term tracking. AI is evolving from a tool into a partner
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What AI is actually doing to the world — and the only two ways to survive it
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Trust, Control, and the Right Kind of Autonomy - What Has to Be True Before AI Can Run High-Value Work
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Plug the Graph Into the Computer - Why "Suggestions" Don’t Change Work, Execution Does
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Traces Are the New Context - Why Process Footprints Decide Whether AI Can Really Run the Work
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Personal Context Graphs - The Missing “World Model” for High-Leverage Work
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Beyond the Chatbox - The AI Should Write the Prompt, Not You
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The Fragmentation Tax - Why Modern Work Feels Busy, but Progress Feels Optional
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The AI-Native Era Is Here — and Work Should Finally Feel Less Heavy
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