aujurd2231Updated yesterday
Structural long-term memory for DeepSeek Harness: supersede/decay/entity-state store, 15 MCP memory tools, automatic recall, bounded context band
Practical score
79 / 100
Setup
Ready to use
License
MIT
Language
Python
Copy the command, or hand the whole task to your harness agent.
npm i dsh-flymemoryPlease install the DeepSeek Harness plugin "dsh-flymemory" for me. - GitHub repository: aujurd22/dsh-flymemory (https://github.com/aujurd22/dsh-flymemory) - Type: a Cordis plugin (installed into a DSH profile) - It should work out of the box with no extra conf…
A cleaned excerpt from the project's own documentation.
dsh-flymemory English 中文 Long-term memory for DeepSeek Harness — the kind that also remembers what changed . You know the feeling. New session, and you explain the project again: what it is, what we decided, what we tried, what broke. Ten minutes later the model confidently hands you a plan you abandoned three weeks ago, because that plan is still in its memory and nothing in the store knows it stopped being true. That last part is what this plugin is about. Most memory tools solve "remember more". This one also solves "stop believing the old version". Try it Three ways in, same plugin: - Inside DSH : sidebar → Plugins → Market → search flymemory → install. (The market index syncs once a day, so a release from today may still show yesterday's number;…
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