Unverified60% confidenceFactExact time
Planning capability relies on large language model Chain-of-Thought (CoT) reasoning, tool invocation is implemented via Function Calling or plugin mechanisms, and the orchestration layer plays the role of a workflow engine.
2
Sources
60%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
No-Install Enterprise Agent: A New Approach to AI Workflow Automation and Core Capability Breakdown
bilibili俗人六哥_Ai电商实战7/4/2026
Related Claims
UnverifiedThe essence of a workflow is to chain multiple steps, tools, and decision logic into a single automatically executable pipeline, which determines whether an agent can complete complex tasks in a stable and controlled manner.76% similarUnverifiedMainstream agent frameworks typically use a large language model as the brain, working in conjunction with three major components: tool calling, a memory module, and task planning.75% similarUnverifiedThe recommended division of labor is for the Hermes brain to handle task understanding, planning, and scheduling; the local model to handle specific execution tasks; and a high-spec model to handle long contexts and complex reasoning.75% similarUnverifiedThe tool-calling capability of intelligent agents allows language models to determine whether a tool needs to be called, generate call parameters conforming to the API specification, and continue reasoning based on the execution results.75% similarVerifiedThe key breakthrough in tool-calling capability lies in the model's ability to generate structured function-call requests and correctly parse tool return results before continuing to reason, rather than simply concatenating tool outputs into the prompt74% similar
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