Agentic Framework
An agentic framework is a software architecture that enables AI systems to operate with degrees of autonomy by implementing iterative decision-making cycles. Rather than processing a single input and returning a static output, agentic frameworks embed AI models within feedback loops where the system perceives environmental state, reasons about objectives, selects actions, executes them, and observes outcomes. This cyclical structure allows the system to refine its approach based on feedback, adapt to changing conditions, and pursue multi-step goals without requiring human intervention between each step.
Core Components
Modern agentic frameworks typically include several interconnected components: a language model or reasoning engine that serves as the decision-making core; a planning module that breaks objectives into actionable steps; tool interfaces that enable interaction with external systems, APIs, or knowledge bases; memory systems that retain context and historical information; and observation mechanisms that capture environmental feedback. The specific implementation and arrangement of these components varies across frameworks, affecting factors like reliability, latency, and the types of tasks the system can effectively perform.
Key Differences
Agentic frameworks differ in their loop topology, reasoning approach, and level of human oversight. Some employ simple perception-action loops with minimal planning, while others implement more complex architectures with explicit reasoning stages, hierarchical planning, or multi-agent coordination. Frameworks also vary in how they handle uncertainty, manage token usage, implement safety constraints, and integrate external tools. These architectural choices reflect different design priorities around performance, transparency, scalability, and suitability for specific application domains.
Source Notes
- 2026-05-01: # Modern AI Agentic Harness: Architecture, Components, and Framework Differences Generated: 2026-05-01 · API: Gemini 2.5 Flash · Modes: Summary --- Modern AI Agentic Harness: Architecture, Components, and Framework Differences Clip title: Agent Harness vs Everything Else: (Modern AI Agentic Harness: Architecture, Components, and Framework Differences)