dsh-project-memory
[English](README.md) | [简体中文](README.zh-CN.md)
Persistent project memory for DeepSeek Harness(dsh) agents. Indexes documents (PDF / Markdown / txt) and code symbols into a per-workspace store, refreshes them automatically, and recalls them with source citations — documents are cross-linked to the code symbols they reference.
> The plugin keeps a compact project index on disk, with every entry pointing to a concrete file and line — the agent can reorient quickly instead of re-reading the whole project.
Features
- Document indexing — PDF, Markdown, and plain text files are chunked and summarized by the LLM; each entry carries a
path:linecitation back to the source. - Code symbol table — function and class names are extracted with a lightweight regex scanner, without LLM token usage.
- Automatic refresh — a background poll (
watch_repo) detects new or changed files by content hash and re-indexes only those. - Read-time indexing — files are indexed the moment the model actually reads them (
fs/observed), so the index is a byproduct of normal work, not a separate upfront scan. Files that are never read are never indexed. The project root is detected by markers (.git,package.json, …), a README plus source directories, or the file's own directory as a last resort. - Doc ↔ code cross-linking — when a document mentions a symbol, the match is recorded as a
reference; querying a symbol also surfaces the documents that describe it. - BM25 retrieval — ranked search over documents, symbols, and experience notes, with optional LLM query expansion to handle vocabulary mismatch.
- Experience notes — problems → solutions; similar problems supersede instead of duplicating, and notes are returned only when a search matches.
- Minimal dependencies — pure JavaScript; the only runtime dependency is
pdfjs-dist(PDF text extraction), no native builds required.
How it works
The design follows four principles:
- Volatility — context is ephemeral; it is lost when a session is compacted.
- Persistence — the index is stored on disk and survives compaction and new sessions.
- Compactness — only summaries are stored; the index runs around 0.5% the size of the source it covers (8.8 MB of source → 49 KB of index in the example project), so retrieval replaces re-reading the full file.
- Verifiability — hits carry a
path:linecitation where applicable, so the agent can confirm details against the source.
Building the index does not require an upfront scan: files are indexed as the model reads them, so the index grows to cover exactly what has been worked with. Re-reading a file that has not changed is a no-op (content hash), so the index stays fresh with minimal ongoing overhead.
The store is per-project and follows the codebase: changed files are re-extracted by content hash, deleted files are removed. Experience notes are retrieval-only, so accumulation does not affect context.
Installation
cd dsh-project-memory
dsh plugin --profile web add . -wThe -w (workspace-root) flag is required: the profile directory is a pnpm workspace root, and pnpm rejects add there without it. From any other directory, the path form works the same: dsh plugin --profile web add /path/to/dsh-project-memory -w.
A prebuilt tarball is published with each release, installable without a build step:
dsh plugin --profile web add /path/to/dsh-project-memory-0.1.0.tgzEach indexed project has its own store at <root>/.dsh-project-memory/. Add it to .gitignore if it should not be committed.
Usage
The tools below are invoked by the agent, not typed by the user. In the chat, just ask naturally — e.g. "index this project" or "what does the auth module do?" — or simply keep working, and the agent calls the matching tool automatically. By default (lazyIndexing) files are indexed the moment the model reads them, so memory fills in while you work. watch_repo keeps explicitly-watched roots fresh in the background; index_repo forces a full backfill of a project (unchanged files are skipped).
| Tool | Purpose |
|---|---|
index_doc file_path | Index one document (PDF/MD/txt): chunk → LLM summary → store with path:line. Unchanged files are skipped. |
index_repo root | Index a whole project: docs get LLM summaries, code files get a zero-token symbol table. Incremental, cleans up deleted files, cross-links docs to symbols. |
watch_repo root | Enable automatic refresh: a background poll detects new/changed files (mtime + content hash) and re-indexes only those. Watched roots persist across plugin restarts. |
query_memory query | BM25 search over docs + symbols + experience, optionally query-expanded by the LLM. Returns ranked hits with relative scores, sources, and doc→symbol references. |
remember problem solution | Save an experience note. Similar problems supersede instead of duplicating. |
forget id_or_query | Delete stale experience notes. |
Design
.dsh-project-memory/
index.json file-level content-hash map (incremental)
entries.json doc summaries + symbol table entries, keyed by file
experience.json problem → solution notes (retrieval-only)
watch.json watched roots- Incremental — content hash per file; only changed files are re-extracted.
- Cross-linking — after indexing, doc summaries are matched against symbol names; matches are attached to the doc entry as
referencesand surfaced byquery_memory. - Query expansion —
query_memorymay askctx.llmto rewrite the query into several variants (synonyms, EN/CN, identifier guesses) and then merges BM25 scores across variants. Auto-enabled for CJK queries (Chinese/Japanese/Korean) so Chinese questions can match English symbol names; config-gated otherwise (llmQueryExpansion, default off). - Consistency — the fact layer follows the codebase (hash re-extract / remove-on-delete); the experience layer is retrieval-only with supersede and
forget. Store writes are serialized per memory directory; the lock is in-process, so avoid running multiple dsh instances against the same project store concurrently.
Configuration
| Key | Default | Meaning |
|---|---|---|
memoryDir | .dsh-project-memory | store directory inside each indexed root |
chunkChars | 3000 | max chars per document chunk |
maxChunksPerFile | 40 | max chunks per document |
maxFileSizeMb | 50 | skip text and code files larger than this (MB) |
maxOutputChars | 8000 | cap for query_memory result text (chars) |
maxPdfPages | 1000 | PDF page cap when pages are not otherwise limited |
llmQueryExpansion | false | expand queries via ctx.llm before BM25 (off by default to save tokens) |
expansionCount | 6 | max expansion variants |
lazyIndexing | true | index files the moment the model reads them (fs/observed) |
autoIndexOnFirstUse | false | full scan of the current working directory on plugin load (opt-in) |
watch | true | enable the background refresh |
watchInterval | 15 | poll interval (seconds) |
Toggling features
The two most relevant switches are lazyIndexing (index a file the moment the model reads it; default on) and autoIndexOnFirstUse (full scan of the current working directory on plugin load; default off). Lazily indexed project roots are automatically registered with the watcher, so changed files stay fresh without an explicit watch_repo.
Settings live in the plugin's config object. To change them, add an override entry to your profile's cordis.patch.yml — for the web profile that is ~/.dsh/profiles/web/cordis.patch.yml:
- id: project-memory
config:
lazyIndexing: true # on: index files as the model reads them (default)
autoIndexOnFirstUse: false # off: no upfront full scan (default)
llmQueryExpansion: false # off: do not spend tokens on LLM query expansion (default)
watch: true # on: background refresh for watched roots (default)
watchInterval: 15 # poll interval in secondsOnly list the keys you want to change; the rest fall back to the plugin defaults. Verify the result with dsh --profile web --dump-config.
For a one-off run without editing the profile, pass the override as a CLI patch overlay:
dsh web --patch ./config.ymlwhere config.yml contains the same override block.
Development (for contributors)
These commands are for maintaining the plugin code — regular users do not need them. Installing the plugin only requires the command in [Installation](#installation).
npm install
npm test # 62 checks: chunker / symbols / store / tools / BM25 / links / watch / lazy / config / dump / concurrency / restore / size limitLicense
MIT