@deepseek-ai/dsh-file-memory
中文 | English
File-backed working memory for long tasks. Two model-facing tools — memorize and recall — keep key premises as verbatim bytes in a session-scoped notes file inside the workspace, so they survive context compaction losslessly: a summarizer can blur or drop a fact, but a file round-trips it byte-exact.
Why
Compaction checkpoints are LLM-generated and LLM-rewritten generation after generation; the prompt-space "state document" proposals still re-summarize the previous state every pass. Files are the only lossless medium the agent already has: write once, read back exactly. This is the pragmatic complement to prompt-space compaction, usable today on the shipped compaction-basic backend.
Tools
| Tool | Behavior |
|---|---|
memorize(entries) |
Appends verbatim deduplicated lines to <workspace>/.dsh-notes/<session>.md. |
recall(query?) |
Reads the notes back, optionally filtered to lines containing query; caps output at maxRecallChars. |
Both require an agent-backed session and a mounted fs service; they resolve the notes file relative to the session's workspace cwd (falling back to the backend default when the session has no cwd).
Config
| Field | Default | Meaning |
|---|---|---|
maxRecallChars |
6000 |
Recall output cap. |
notesDir |
.dsh-notes |
Notes directory name inside the workspace; must be a bare directory name. |
maxRecallChars must be an integer >= 1; misconfiguration throws at plugin load.
Install
Not on npm yet - install from this repository:
npm install github:ICCuse/dsh-file-memory
# or: pnpm add github:ICCuse/dsh-file-memoryThen mount the bundle (declared in package.json 'dsh.bundle'):
- id: dsh-file-memory
name: 'dsh-file-memory'Or, once published, 'dsh plugin --profile web add dsh-file-memory'.