Unverified50% confidenceFactExact time
Agent scenarios also require examining support for tool calling (function calling), multi-step planning and memory mechanisms.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
Unverified代理式编程依赖规划能力、工具调用（Function Calling）和自我反思三项关键技术80% similarVerifiedAn Agent consists of a Planning module, a toolset, and short-term and long-term memory, ultimately outputting Action instructions to complete invocations.77% similarUnverifiedKey technologies for achieving Agent capabilities include Function Calling, memory management, and tool orchestration.76% similarUnverifiedPlanning refers to an Agent breaking down a big goal into an executable sequence of subtasks, with common approaches including task decomposition, prioritization, and dynamic replanning; the memory mechanism allows an Agent to maintain contextual coherence across multiple turns of interaction, with short-term memory usually being the conversation history and long-term memory relying on external storage such as vector databases.75% similarUnverifiedThere are two strategies for retrieving memory: active retrieval (retrieving and injecting into the System Prompt before the task starts) and passive triggering (encapsulating memory queries as tools for the Agent to call on its own), and combining the two works best.75% similar
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