README.md

AISA — Agentic AI Systems Architecture

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Overview

AISA (Agentic AI Systems Architecture) is a system-level reference architecture for the design, deployment, evaluation, and governance of agentic AI systems.

It frames agentic AI as an end-to-end system problem, addressing the architectural challenges introduced by autonomous, tool-using, and long-horizon AI behavior.

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Motivation

As large language models evolve into persistent and goal-directed agents, key challenges increasingly arise at the system level, including:

• Fragmented agent architectures
• Brittle orchestration and tool usage
• Limited observability and evaluation
• Unclear governance and accountability

AISA introduces a unified architectural model that integrates reasoning, infrastructure, evaluation, deployment, and governance.

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Architectural Model

AISA decomposes agentic AI systems into seven high-level layers:

1. LLM Foundation — language understanding and reasoning
2. Tool & Environment — controlled external actions
3. Cognitive Agent — planning, goals, and memory
4. Agentic Infrastructure — orchestration and coordination
5. Evaluation & Feedback — continuous behavioral assurance
6. Development & Deployment — lifecycle management
7. Governance, Ethics & Policy — system-wide constraints

This separation of concerns enables predictable behavior, continuous evaluation, and enforceable governance.

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System Perspective

AISA treats agentic AI systems as composed, multi-layered systems whose behavior emerges from interactions across reasoning, execution, infrastructure, and policy layers.

This perspective supports system-level analysis and comparison across different agentic designs.

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Contributions

This work:

• Proposes a unified layered reference architecture for agentic AI systems
• Clarifies responsibilities and boundaries across system components
• Elevates evaluation, operations, and governance to first-class concerns
• Provides a shared vocabulary for research and practice

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Intended Use

AISA is intended for:

• Research on agentic and autonomous AI systems
• Design of production-grade agent architectures
• Evaluation and comparison of agentic behaviors
• Governance and risk analysis of deployed AI systems

The framework applies to both single-agent and multi-agent systems.

AISA — Agentic AI Systems Architecture

Coming soon

A unified reference architecture for designing, deploying, and governing agentic AI systems.