dsh-obsidian-agent-wiki
适用于 DeepSeek Harness 的可搜索 SQLite 索引 Obsidian 记忆库
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:CagierAsh123/dsh-obsidian-agent-wiki#9ede768522450374e91eb64024b80ab95285e84bObsidian Agent Wiki 以 dsh-obsidian-agent-wiki 发布，当前版本为 0.1.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
SQLite-indexed Obsidian memory for DeepSeek Harness — gives the agent a searchable view of a local Obsidian vault, with no frontend (browse and edit notes in Obsidian itself).
Built on Node 22's built-in node:sqlite — zero runtime dependencies.
Plain file-system memory plugins scan every file linearly and can't filter by directory. This plugin indexes the vault into an in-memory SQLite table at startup and keeps it fresh on every write, so the agent can:
path / category / project / tag,dsh plugin add dsh-obsidian-agent-wiki
# or from source:
dsh plugin add CagierAsh123/dsh-obsidian-agent-wiki
Point the plugin at your vault in your profile's cordis.patch.yml:
- id: dsh-obsidian-agent-wiki
name: dsh-obsidian-agent-wiki
config:
vaultPath: B:/path/to/your/vault
Or set the OBSIDIAN_VAULT_PATH env var. Restart dsh.
| Tool | Parameters | Purpose |
|---|---|---|
wiki_read | file_path | Read a note |
wiki_list | path? | List a directory |
wiki_write | file_path, content | Write / overwrite, then re-index |
wiki_append | file_path, content | Append, then re-index |
wiki_search | query, path?, category?, project?, tag?, limit? | Indexed full-text + structured search |
wiki_search returns path, title, category, project, matches, and a snippet for each hit, ordered by match count.
category and project are inferred from each note's path:
代码Wiki/<topic>/<note>.md → category 代码Wiki (shared technical notes)项目Wiki/<project>/<note>.md → category 项目Wiki, project <project>tag filtering matches the frontmatter tags: value.
.obsidian/.git/node_modules/.trash) and builds the in-memory index.wiki_write / wiki_append the touched note is re-indexed immediately.Full-text matching uses LIKE '%query%' rather than FTS5 trigram because trigram returns zero hits for queries shorter than 3 characters — which would drop the 2-character Chinese words that dominate a Chinese vault. At tens-to-hundreds of notes, a LIKE scan is sub-millisecond.
node:sqlite)MIT