Tag: agent-architecture
All the articles with the tag "agent-architecture".
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Inversion of Control at the Agentic Boundary
Applying IoC and dependency injection patterns to agentic service boundaries — and why technical plumbing alone won't prevent control inversion.
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Currying AI Agents: Partial Application for Reusable Agent Configurations
Apply partial application from functional programming to AI agents — pre-configure agent parameters to create reusable, composable agent building blocks.
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MarkyMarkov - Markov Chain-Based Code Guidance for LLM Agents and Humans Alike
MarkyMarkov uses Markov chains to learn patterns from your codebase and provide fast, explainable code guidance that complements LLM agents.
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Building Smarter AI Agents With Ideas From Philosophy
Updated:Philosophically informed AI agent design — modeling belief, knowledge, and epistemic norms — makes agent behavior more reliable and inspectable.
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Markov chains and LLMs - hybrid architectures for smarter agents
Combine Markov chains with LLMs to build structured, interpretable agents — Markov chains enforce predictable state; LLMs provide semantic flexibility.
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Context Management for AI Agents: Why MINDMAP Changes Everything
Context is the most underrated lever in AI agent design — this post makes the case for MINDMAP-style context objects as a first-class agent primitive.