lmzhen/dsh-evolution--packages-tool-memory ↗★ 1
@deepseek-ai/dsh-tool-memory
Model-facing memory tool and prompt context
AI Analysis
核心用途是为模型提供记忆工具和运行时快照上下文。适合需要让模型具备持久化记忆、在请求间保持上下文连贯性的任务，快照大小随存储条目增加而变化。
Install
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README
Read the full README ↗@deepseek-ai/dsh-tool-memory
Model-facing memory tool and prompt context
Model Experience
Memory tool and runtime snapshot
What the model sees
The model sees the memory tool schema, one fixed guidance section, and a runtime snapshot containing the current memory entries.
Token effect
Fixed guidance has a constant token cost. The runtime snapshot scales with stored memory entries and is absent when memory is empty.
KV Cache effect
Guidance text is prefix-stable. The runtime snapshot is replaced after successful memory writes and is otherwise unchanged between requests.
Known Limitations and Deferred Work
- No known durable consumer gaps at this time. Runtime contracts are covered by package and boundary tests.