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dsh-daoing-memory

Self-evolving memory for DeepSeek Harness (DSH): earned experiences, diary/fact semantic memory, concern tracking, and an append-only audit ledger.

AI Analysis

核心用途是赋予智能体自主提取和召回经验事实的能力。适合需要智能体在多轮会话中持续学习、自我修正并积累长期记忆的任务。

memoryAgents
Package
dsh-daoing-memory
Version
0.1.0
License
MIT
Last updated
Aug 20, 2026

Install

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:daoing/dsh-daoing-memory

README

Read the full README ↗

Usage

Once installed, the agent gains the memory_* tools. Typical flow:

  1. During a session the agent appends raw notes with memory_fact.
  2. At a natural pause it runs memory_extract to distill facts + concerns (guided by the memory-extraction skill).
  3. In later sessions memory_recall surfaces relevant experiences; a compact profile snapshot is already present in the system prompt.
  4. When an experience is confirmed useful the agent calls memory_report; when it is wrong, memory_revise.
  5. You can inspect and curate everything in the Memory workbench.

See docs/INSTALL.md for usage details and docs/STATUS.md for what is implemented today.