Unverified85% confidenceFactTime unknown
MemGAS在LongMemEval-S上构建记忆处理约52.9M input tokens，Summary和Keyword带来的额外内存约27MB，约为原始记忆的10%
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
MemGAS: Multi-Granularity Memory Association for Precise AI Agent Recall
bilibiliAgent智能体深度研究院
Related Entities
Related Claims
VerifiedAn agent's memory includes short-term memory (conversational context window, typically 4K–128K tokens), long-term memory (vector database), and procedural memory (intermediate state cache for tool calls).78% similarUnverifiedShort-term working memory, i.e., the context window, is typically 8K to 128K tokens, while long-term memory is usually stored in the form of a vector database76% similarUnverifiedThe conversational memory mechanism is essentially concatenating historical messages into the context window, so context length limits (e.g., 4K, 8K, 128K tokens) become a key constraint.70% similar
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