Unverified50% confidenceSolutionExact time
There 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.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPlanning 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.78% similarUnverifiedIn the experiment, the agent autonomously constructed a memory system by creating directories with make memory, outputting cognition with echo, and writing scripts for iterative optimization, demonstrating emergent behavior at the tool-use level.75% similarUnverifiedA constrained context environment can serve as a catalyst, stimulating innovation in memory management by the Agent.75% similarUnverifiedActive Memory refers to a model persisting user preferences, project context, and historical decisions across sessions and actively invoking them in subsequent conversations; Active Focus is a mechanism for maintaining multi-step execution around an established goal, switching strategies after failure, and continuing to push forward when encountering obstacles.73% similarUnverifiedThe system splits the Agent architecture into a memory layer (recording structured experience: tasks, actions, results and verification evidence) and a decision layer (providing typed probabilistic decisions), with the boundary between the two layers being: memory answers "is this true", and decision answers "what should we do and how certain are we".73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1049967API
curl https://kongchang.com/api/v1/knowledge/claims/1049967MCP
get_claim(id=1049967)