Spaces:
Running
Running
File size: 2,861 Bytes
3c4126b f2ff63d 3c4126b f2ff63d 3c4126b abf7a0e 7e427eb abf7a0e 7e427eb abf7a0e 3edf02b abf7a0e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 |
# AISA — Agentic AI Systems Architecture
---
## 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.
---
## 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.
---
## 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.
---
## 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.
---
## 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
---
## 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.
<h1 align="center">AISA — Agentic AI Systems Architecture</h1>
<p align="center"><em>Coming soon</em></p>
<p align="center">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/U6a8h-tFQ1s_fqayvDznl.png"
alt="Agentic AI Systems Architecture (AISA)"
width="320"
/>
</p>
<p align="center">
A unified reference architecture for designing, deploying, and governing agentic AI systems.
</p>
|