Yichen Jiang
e53f448650
Tool and prompt-section visibility is inherited along dsh-scope's parent chain, and an agent's scope key is minted with no parent. Per-session agent presets moved every model-facing row onto the agent plane and made AgentPresets.mount() the one thing that binds that link, from the api-proxy's session create, resume, and fork paths. The two in-process subagent drivers installed only the per-child persona and tool filter, so a child's scope chain had length one and its registry view resolved the global layer alone — which is empty wherever a preset roster is composed. One-shot children reached the model with no tools, continuable ones with only the host-plane `report`, and neither carried its parent's persona, workspace context, or skill catalog. AgentPresets.composeFrom() joins one agent to the standing composition another already runs on. It is a bind, not a mount: the child gets its parent's exact generation, so a composition edited since the parent started cannot fork it onto another one, and it is synchronous, which is what lets a child creation window use it. applyChildComposition() now takes the parent and performs the join first, making a child composed without it unrepresentable at the call sites. childSessionMeta() records the joined id so a cold read rebuilds the composition the child actually ran under. The audit that followed found two api-proxy readers on the wrong authority: presenterScopeFor() and the live-agent branch of assertPresetUnchanged() both read header.agentPreset, which goes stale the moment a blank session switches preset. A switched session's cold transcript resolved presenters in the older composition's layer and silently degraded to generic cards, and the gateway refused to adopt a live session under the preset it actually runs while accepting the one it left. Both now resolve through resolveSessionPreset(), matching the resume branch fifteen lines above. The owning architecture Agent Note carried the stale claim that the header records what a session runs; it is corrected to name the header/log pair and its three readers. Fixes #2165
DeepSeek Harness
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DeepSeek Harness (dsh) is an open-source coding agent built on the DeepSeek Harness SDK.
It uses an architecture where everything is a plugin.
Internal testing notice
DeepSeek Harness is under internal testing. Features and interfaces may change.
The internal build uploads all Session Logs by default to help diagnose reported problems. Set DSH_TELEMETRY_DISABLED=1 to disable telemetry. Send feedback through the internal WeChat group.
Install
Clone the repository, then run the installer:
git clone <repo-url>
cd deepseek-harness
scripts/install.sh
The installer requires git and Node ^22.19 || >=24, offers to install pnpm when it is missing, prompts for a DeepSeek API key, builds the required repository artifacts, and launches the Web UI.
The default active checkout is ~/.dsh/source/current, and the launcher is linked into ~/.local/bin. Re-run the installer to update. scripts/install.sh owns alternate locations, update mechanics, and recovery options.
Use DeepSeek Harness
Web UI
For the recommended local interface, choose Web UI when the installer finishes. To start it later, or after updating the active checkout, build the repository and run:
(cd ~/.dsh/source/current && pnpm run build)
dsh web
The path above is the installer's default. If you set DSH_SOURCE or DSH_CURRENT, or reused an existing checkout, replace ~/.dsh/source/current with that checkout path; see scripts/install.sh for details. The Web UI is served at http://127.0.0.1:3080 by default.
Profiles
dsh boots profiles — ordered stacks of plugin-bundle patch layers under your own overrides in $DSH_HOME/profiles/<name>:
dsh --profile web # the browser UI (same as: dsh web)
dsh plugin --profile tui add <package> # install a plugin into a custom profile
dsh --profile tui # boot it
The CLI contract describes profile layout, layer semantics, and config dump commands.
Headless
Run one task, print the final answer, and exit:
dsh run "summarize this workspace"
Automation and SDKs
From a source checkout with DEEPSEEK_API_KEY in the environment or its root .env, start the ACP automation server:
pnpm run demo:acp
The Python SDK drives a bundled JSON-RPC runtime. The examples cover the runnable headless, ACP, JSON-RPC, Code Mode, and self-referential compositions.
Why DeepSeek Harness
Built-in capabilities cover file reading, editing, and search; shell and persistent PTY execution; reusable skills; task tracking, goals, plans, todos, and background tasks; subagents and workflows; sandboxing and approvals; settings and credentials; persistent, resumable, forkable, and queryable sessions; LSP and web access; context compaction; and telemetry. Each composition selects the subset appropriate to its surface. The Web UI includes Plan Mode.
- Everything is a plugin. Models, tools, policies, storage, context management, and interfaces are composable Cordis plugins, so deployments can extend or replace behavior without forking the agent loop. See the architecture for the underlying design.
- Runs are reconstructable. Anything visible to the model is logged in the authoritative session stream; persistence, resume/fork/query, replay, telemetry, and UIs derive from the same events. See the session-log architecture.
- Code Mode (opt-in). It exposes a
run_codetool and a generated TypeScript SDK; only program output re-enters model context. See Code Mode. - Self-referential Cordis tools are opt-in. They let the agent inspect its live runtime and mount or unmount plugins while it runs. See the Cordis tools.
Community
Follow DeepSeek Harness on Twitter for project updates.
Development
Start with the development guide and read the architecture before changing packages.
For agents, follow AGENTS.md.
DeepSeek Harness is currently in internal testing.
License
Third-party dependencies and their licenses are disclosed in THIRD_PARTY_NOTICES.md.