A vendor-agnostic, governance-first architecture for building agentic AI systems that are safe, reliable, economically bounded, operationally observable, and scalable.
The Agentic Architecture Framework applies six well-architected pillars (Security, Reliability, Cost Optimization, Operational Excellence, Performance Efficiency, Sustainability) and two cross-cutting foundations (Context Optimization, Autonomy & Outcome Governance) to agentic AI. Central to the framework is the architecture of epistemic gates: the boundary where probabilistic AI output transitions to authoritative action.
The whitepaper is split into sections in docs/ for easier contribution and navigation:
- Sections 1–3: Definitions and mental models (what agents are; deterministic vs probabilistic vs agentic)
- Section 4: Framework overview and how to use it
- Sections 5–10: The six architectural pillars
- Sections 11–12: Cross-cutting foundations (Context, Autonomy & Governance)
- Sections 13–15: Ecosystem, application method, and conclusion
We welcome feedback and contributions. See CONTRIBUTING.md for how to:
- Submit feedback on specific sections (Issues)
- Propose changes (Pull Requests)
- Discuss ideas (GitHub Discussions)
This work is licensed under CC BY-NC 4.0 (non-commercial). You may share and adapt the framework with attribution; commercial use of the framework document itself is not permitted.
- Website: https://agenticaf.io
- Repository: github.com/AgenticAF-Community/FrameworkCore