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dsh-data-agent

omdsh-dev/dsh-data-agent

Let the AI connect to databases and write SQL for you.

516JavaScriptMITSource

Install

Add dsh-data-agent to DeepSeek Harness

via npm

Resolves a published tarball rather than cloning the repository, and installs without any extra setup. Swap `web` for your profile name if you run another one.

via GitHub · npm package

Installing from GitHub runs the project's build script, which pnpm blocks until you allowlist it — run the command once and pnpm prints the exact key to add under `allowBuilds` in ~/.dsh/profiles/web/pnpm-workspace.yaml.

What happened when we ran it

Installed cleanly when we ran it

Every command here is run in a throwaway container against a clean profile, and the result is whatever the harness recorded — not a guess from the source. Last run 2d ago.

Due diligence

Before you install dsh-data-agent

  • Source of record: omdsh-dev/dsh-data-agent — present in the community registry that DSH's own plugin market installs from.
  • Licensed under MIT.
  • Detected: terminal surface. Read the source before granting these.
  • A listing here is not a security review. Plugins run with your agent's permissions.

The AI take

What it is — This plugin connects databases to DeepSeek Harness, allowing natural language data analysis with automatic SQL writing and business insights, supporting Web UI and dsh-tui.

Who it is for — Users who need to connect to databases like MySQL or PostgreSQL and analyze data through natural language in DeepSeek Harness web or terminal interfaces will find this useful. Users without database analysis requirements do not need to install it as it is specialized for data tasks.

Watch out — Sandbox test passed with installation in a fresh profile and registration by harness. No obvious issues found.

The verdict — I would install it because it supports generating reports with charts in the Web UI for complex data problems.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.

What dsh-data-agent does

Database records flow through a terminal gateway into SQL paths and an analytical report.

dsh-data-agent is a DeepSeek Harness plugin that connects an agent to databases for conversational analysis and SQL execution. DeepSeek Harness loads the data-agent preset for a profile; in data mode, the agent uses sql-query, sql-write and sql-cmd to inspect schemas, write queries, run them, respond to errors and continue analysing returned data. The Web UI also exposes render-analysis, which can produce read-only reports containing metrics, charts and tables. The plugin uses the profile process's database command-line clients rather than downloading clients: mysql, psql, SQLite, Oracle, Hive and Impala clients are supported. Connection settings can supply client searchPaths or an absolute command under the data-agent configuration.

DeepSeek Harness users who need database-backed investigation through the Web UI or dsh-tui may find dsh-data-agent suitable for exploratory reporting, trend analysis and follow-up questions. It is not a database client installation layer, and it is a poor fit when the required client is unavailable or the target database cannot be reached from the local machine. SQLite, MySQL, PostgreSQL, Oracle, Hive and Impala each require the corresponding accessible command-line client.

The detected terminal surface matters: dsh-data-agent reaches the local database clients through the terminal and passes them connection details and SQL. Without read-only mode, it can execute requested update or management statements, subject to the connected account's permissions. A read-only database account and the connection form's read-only option are recommended for production data.

dsh-data-agent documentation

Configuring dsh-data-agent

DeepSeek Harness loads the data-agent preset into a profile and preloads its database tools and commands. The profile configuration can add non-standard client locations or pin a client executable:

Key Purpose
clients.<database>.searchPaths Directories to search before system-standard locations
clients.<database>.command An absolute path to the client command

For example, clients.mysql.searchPaths can contain /opt/company/mysql/bin, while clients.mysql.command can point directly to /opt/company/mysql/bin/mysql. The current profile's PATH takes precedence. DeepSeek Harness also checks the client HOME environment variable and common Windows, macOS and Linux installation locations.

dsh-data-agent commands

In dsh-tui, DeepSeek Harness provides the /database command group for the active connection:

  • /database connect opens the connection form.
  • /database status shows the current connection.
  • /database test tests it.
  • /database disconnect closes it.

The data-agent mode retains str_replace_editor, sql-query, sql-write and sql-cmd. Web profiles additionally load render-analysis; dsh-tui does not load its chart or browser dependencies.

Requirements for dsh-data-agent

DeepSeek Harness must be able to reach the target database from the local machine. The relevant client must be installed and available through PATH, a recognised installation location, searchPaths or command. SQLite is commonly available with macOS or Linux; MySQL, PostgreSQL, Oracle, Hive and Impala require their respective command-line clients.

Behaviour and safety

The agent can inspect table structures, execute SQL, use errors and results to revise its analysis, and save analysis files such as analysis/repurchase.sql when asked. Web reports are persisted with the session log and are read-only. Read-only mode and a read-only account restrict changes; otherwise requested updates or management statements can run with the account's permissions. Connections are isolated between sessions, and TUI passwords are masked and not restored.

Written from the project's own documentation and kept in sync with it. Where the two disagree, the source is authoritative — read the README on GitHub

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