--- title: Context Graphs & Agentic Decisions | daily.dev description: AI agents need more than facts — they need institutional memory capturing why decisions were made. Using three variants of the classic Zebra Puzzle as a... canonical: https://daily.dev/posts/context-graphs-agentic-decisions-ve9azxujl twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Context Graphs & Agentic Decisions | daily.dev og:description: AI agents need more than facts — they need institutional memory capturing why decisions were made. Using three variants of the classic Zebra Puzzle as a... og:url: https://daily.dev/posts/context-graphs-agentic-decisions-ve9azxujl og:image: https://api.daily.dev/og/posts/vE9AzxujL.png og:image:alt: Context Graphs & Agentic Decisions og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Context Graphs & Agentic Decisions **[neo4j](https://daily.dev/sources/neo4j)** · 8 min read · 1 upvotes · 0 comments ## Summary AI agents need more than facts — they need institutional memory capturing why decisions were made. Using three variants of the classic Zebra Puzzle as a framework, the post explores three layers of agent reasoning: strict logical constraints (rules engines), natural language ambiguity requiring probabilistic reinterpretation, and subjective/affective constraints requiring human-like judgment. Graphs serve as a unified structure for knowledge, computation, and judgment simultaneously. The post argues that context graphs must capture not just what decision was made but the subjective reasoning behind exceptions, especially for enterprise agents handling mixed hard rules, fuzzy guidance, and unresolvable tensions. Research combining LLMs with formal constraint solvers showed a 166% improvement in puzzle-solving for GPT-4. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Context graphs and decision traces to the rescue](https://daily.dev/posts/context-graphs-and-decision-traces-to-the-rescue-dw2gdtquu) · InfoWorld · 0 upvotes · 0 comments - [Context Graphs and AI Memory Across the Globe](https://daily.dev/posts/context-graphs-and-ai-memory-across-the-globe-etrhxkqsg) · neo4j · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#llm](https://daily.dev/tags/llm), [#neo4j](https://daily.dev/tags/neo4j) [View this post on daily.dev](https://daily.dev/posts/context-graphs-agentic-decisions-ve9azxujl) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Context Graphs & Agentic Decisions","url":"https://daily.dev/posts/context-graphs-agentic-decisions-ve9azxujl","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/context-graphs-agentic-decisions-ve9azxujl"},"datePublished":"2026-02-28T09:58:17.381Z","dateModified":"2026-03-15T04:01:27.265Z","description":"AI agents need more than facts — they need institutional memory capturing why decisions were made. 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