Concepts

Regenerate Background

Model Context Protocol (Anthropic)

The Model Context Protocol (MCP) as defined by Anthropic is a standardized client–server protocol and runtime ecosystem for connecting AI applications to external tools, data sources, and prompts. It is not an architectural pattern for designing agents; it is the concrete protocol and specification that enables applications like Claude, Cursor, and other MCP clients to discover and use Resources, Tools, and Prompts exposed by MCP servers.

Conversational React Description

Conversational ReAct builds on the original ReAct paradigm by weaving in two critical capabilities: (1) persistent memory so that ...

Model Context Protocol - An Architectural Pattern

The Model Context Protocol (MCP) is a structured framework for designing intelligent systems powered by large language models ...

Prompt injection

Prompt injection is a critical security vulnerability specific to AI applications that leverage large language models (LLMs) Unlike ...

Reflexion actor

The Reflexion Actor is a cognitive AI architecture that enhances an agent's ability to learn from its mistakes through self-reflection. It ...

Zero Shot React Description

Zero Shot React Description is a technique used in AI agents to make decisions dynamically without requiring prior training examples or ...