Expired70% confidenceFactExact time
An Agent is an application-layer architecture built on top of an LLM that enables the model to decompose complex tasks, invoke external tools, maintain context state, and iteratively optimize results by introducing mechanisms such as Planning, Memory, Tool Use, and Reflection.
4
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
From Frontend Developer to AI Architect: A Complete Guide to Codex Programming Agent Design
bilibili2026前端进阶6/25/2026
Related Claims
UnverifiedCombining LLMs with tool calling, memory mechanisms, and planning capabilities forms an Agent with autonomous action capabilities.83% similarUnverifiedIn the Agent architecture, the LLM is responsible for intent understanding and step planning, while actual execution is delegated to external tools such as calculators, search engines, and API endpoints.82% similarVerifiedIn the era of large models, within an Agent architecture, the LLM acts as the brain responsible for reasoning and decision-making, tools act as the limbs responsible for interacting with the external world, and the memory module stores conversation history and intermediate states.81% similarUnverified川虎ChatGPT内置Agent智能体功能，允许模型调用外部工具执行多步推理任务80% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/41235API
curl https://kongchang.com/api/v1/knowledge/claims/41235MCP
get_claim(id=41235)