#Agentic Systems
7 posts with this tag.
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Verity: The Truth Engine Underneath XAP
Published:• 14 min readA close read of verity-engine — five Rust crates, seven trust properties, and the design invariants that turn an agent settlement decision into a record any third party can independently replay.
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XAP: The Settlement Layer for Autonomous Agents
Published:• 10 min readA close read of XAP (eXchange Agent Protocol): six primitive objects, one transaction flow, and what it takes to make agent-to-agent commerce verifiable without any human in the loop.
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AgenticMemory, Part 3: The Capabilities That Required a New Data Structure
Published:• 9 min readFour things that are only possible because of the typed cognitive graph — finding connections, simulating what breaks, auditing gaps in reasoning, and recognizing patterns across completely different domains.
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AgenticMemory, Part 2: How the Agent Searches and Knows What Matters
Published:• 8 min readSelf-correction without data loss, exact-term search that actually works, hybrid retrieval that uses both signals, and a way to find which beliefs everything else is built on.
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AgenticMemory, Part 1: The Memory Your Agent Was Always Missing
Published:• 10 min readFour foundational capabilities that give AI agents a real brain — not a search bar. The binary format, the portable file, the typed events, and the reasoning chains.
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Building a Memory System for AI Agents
Published:• 22 min readVector databases tell you what is similar. They do not tell you what happened, what was decided, or what the agent learned that overrides what it knew before. I needed something different.
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Building a Web Cartographer for AI Agents
Published:• 21 min readI wanted AI agents to understand the web the way a researcher does — not just fetch a page, but navigate structure, follow intention, and remember where they have been. Notes from building Cortex.