Ground in the workspace
Read project instructions, files, dependencies, diffs and prior decisions before acting.
Independent guide · checked 2026-08-20
DeepSeek Harness,
from first run to verified workflow.
Learn the open-source agent framework through practical setup guides, source-linked plugin profiles, troubleshooting notes and reproducible field tests.
Developer preview quick start
npx @deepseek-ai/dsh webLaunches the local Web UI at 127.0.0.1:3080 by default. Review the current upstream README before running it in a real project.
ReleaseDeveloper Preview
Expect APIs and plugin contracts to keep changing.
LicenseMIT upstream
Inspect, modify and self-host the official source.
Directory106 plugins
20 capability categories with traceable sources.
Framework overview
What DeepSeek Harness actually does
A model produces intelligence. The harness supplies the working environment around it: project context, tools, permissions, state, verification and recovery.
Call tools with boundaries
Connect models to shell, search, editors, tests and integrations without hiding permissions.
Extend through plugins
Add models, skills, storage, sandboxes, interfaces and workflow capabilities as focused modules.
Keep sessions traceable
Preserve decisions, tool calls and verification results so failures can be inspected and recovered.
Agent loop
A useful agent is a verified loop, not a single prompt
The exact behavior depends on the selected mode and plugins, but a reliable coding workflow follows the same four-stage rhythm.
01
Ground
Load the repository, instructions and constraints.
02
Plan & act
Choose tools, edit files and run commands.
03
Verify
Use builds, tests, browser checks and logs as feedback.
04
Recover
Inspect traces, revise the plan and keep a reversible path.
Start here
Choose the shortest path to a working agent
Each guide records the Harness version, operating system and verification steps so current behavior stays separate from outdated advice.
Plugin index
Extend the harness with one focused capability
Explore 106 selected community projects across 20 categories. Every profile links to its upstream source; directory inclusion is not a security endorsement.
OpenViking#examples/dsh-memory-plugin
OpenViking memory and context bundle for DeepSeek Harness: pre-step auto-recall and profile injection, session capture, `viking://` URI guarding, and recall/write memory tools backed by an OpenViking server.
@volcengine
hindsight#coding-agents
Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.
@vectorize-io
archify#integrations/deepseek-harness
Generate validated, self-contained interactive architecture, workflow, sequence, data-flow, and lifecycle diagrams from repositories or system descriptions.
@tt-a1i
ouroboros#integrations/dsh-plugin
Config-only bundle that mounts Ouroboros through the DSH MCP client, exposing 36 interview, Seed, execution, evaluation, and evolution workflow tools in DSH.
@Q00
dsh-web-ui#packages/dsh-web-ui-all
Plugin and skin collection for the DSH Web UI: task board, Git graph, right-side panel, remote mobile UI, pet, live token stats, and a skin center.
@zhu1090093659
mirage#dsh
Swaps the filesystem and bash providers for a mirage virtual workspace: file tools and shell commands run over mounted resources (RAM, S3, Redis, Slack, Gmail, Notion, Postgres) instead of the host disk, with per-mount read/write/exec modes, per-command sandbox routing (monty, pyodide, quickjs in process; docker, e2b, daytona remote), and installed CLIs (git, gh, slack, linear, ntn, gws, or one you register) as head words in the virtual terminal.
@strukto-ai
Editorial standard
Evidence stays visible
We do not mirror the upstream repository. We turn source material into version-aware decisions and keep uncertainty, failed checks and safety boundaries on the page.
Read the editorial methodology →01
Version
The package, release or commit used for the page is visible.
02
Environment
Operating system, runtime and provider assumptions are stated.
03
Evidence
Official docs, source code and reproducible commands are linked.
04
Limitations
Unverified claims and failed checks remain explicit.
Primary sources
Verify the upstream before you trust a command
DeepSeek Harness is moving quickly. These first-party links are the baseline for every guide and plugin profile on this site.
FAQ
Questions people ask before starting
Short answers for the decisions that matter before you install Harness or third-party plugins.
What is DeepSeek Harness?
DeepSeek Harness is DeepSeek’s open-source, plugin-first framework for building and running AI agents with tools, sessions, storage, sandboxes, orchestration and a local web interface.
How do I install DeepSeek Harness?
The current quick-start command is npx @deepseek-ai/dsh web. Check the official README first because this developer preview can change.
Is this the official DeepSeek website?
No. DeepSeek Harness Link is an independent publication. Official product and source links are clearly labeled.
Is DeepSeek Harness stable?
It is currently a developer preview. Compatibility-breaking changes are expected, so technical pages carry a checked date or version.
Are listed plugins safe?
A listing is not a security approval. Review the repository, permissions, install scripts and network behavior before running third-party code.