Unverified85% confidenceFactTime unknown
当前长上下文窗口（100K-1M tokens）的普及使Agent能够维持复杂任务的长期记忆
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe expansion of large model context windows from the early 4K tokens to today's 100K+ or even longer is one of the technical foundations of agentic programming.75% similarUnverifiedAn agent's working memory, i.e., the context window, is typically 8K to 128K tokens and is cleared after the session ends.74% similarVerifiedAn 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).73% 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 database72% similarUnverifiedThe context window of LLMs has expanded from the early 4K tokens to hundreds of thousands of tokens, enabling models to maintain state across complex multi-step tasks72% similar
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