Expired50% confidenceFactTime unknown
AgentMemory compresses operation history into structured memory, consuming only approximately 1,900 tokens per session
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
AgentMemory: An Open-Source Solution for Giving AI Coding Assistants Permanent Memory
bilibili锋芒AI
Related Claims
UnverifiedWorking memory theory was first proposed by psychologist George Miller in 1956 and was later refined by Alan Baddeley into a multi-component model; working memory capacity is typically 7±2 information chunks, maintained for approximately 15–30 seconds.62% similarUnverifiedIn multi-agent systems, each Agent call must carry the full context, and multi-turn reasoning continuously accumulates conversation history, meaning a seemingly simple multi-Agent task may consume tens of thousands or even hundreds of thousands of Tokens, whereas an equivalent workflow might only require a single call of a few hundred Tokens.61% similarVerifiedAn Agent's token consumption for a single task may be 5–10 times that of an ordinary conversation, due to the involvement of multiple rounds of large model calls.61% similarUnverifiedFor a complex Agent task involving a 10-step plan, the actual token consumption may be 20 to 50 times that of a single conversation.59% similarUnverifiedIn orchestrator scenarios, the number of model calls can be 3 to 10 times that of a single-turn conversation.59% similar
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