Workflow & Automation

Connects a locally installed, signed-in Codex CLI to individual Harness sessions for planning, code review, and optional image analysis; the CLI must be installed and authenticated separately. Verified on Windows; macOS and Linux use the manual CLI install and are not hardware-verified.

通用单人开发流程框架：文件状态机 + Gate 必停 + 角色分离。自带 9 个角色 subagent、流程骨架文档、门禁脚本与 process_init / process_uninstall 工具。

Project workspaces for multi-session collaboration, conversation handoffs, searchable chat records, and editable shared memory; automatic memory curation and handoff judgment require two background models (memoryModel and sessionManagerModel) configured in the plugin config.

Second-model gate on the assistant turn, installed with one command: the bundle installs the settings panel and mounts the engine out of the same package, so both halves come up together. A separate judge call scores the draft against the numbered criteria (0-10 each); any criterion under 6 fails the turn and sends it back for a rewrite, up to 3 rounds by default. Ships in dry-run mode, which only records verdicts to an audit log until you switch it off. The web panel edits the criteria, the thresholds and the judge prompt.

Reader-first long-form fiction pipeline: setting and character cards first, 21 gate scripts, a 1000-trope library and 700 theme seeds, at most two tropes per chapter, a self-test for every script; the scripts run on the host's Python 3.

Manage agent-team roles in the dsh Web GUI: each role becomes its own selectable agent preset with per-role tool, skill and MCP switches.

Requirement-to-delivery workbench: paste or upload a requirement, and a plan-dispatch-verify loop delivers it with child agents and test evidence.

Manages game automation scripts from dsh on Windows. Installs and updates scripts such as MAA, runs them in scheduled pipelines, watches their logs and hands failures and stalls to an agent, and tracks game events.

Project-based task manager: a sidebar panel, ten chat tools, and one-click splitting of an assistant reply into tasks.

Declarative DAG runtime for DSH tool plans with bounded parallel execution, read-only retries, per-step checkpoints, cancellation, and conservative crash recovery.

Reads local AI session history from 16 AI tools plus Windows recent-file activity, and generates daily or weekly work reports on your machine. Currently Windows x64 only: the plugin ships a bundled Windows sidecar (no Python needed); macOS/Linux are not supported yet.

Manage blog categories, save drafts, and upload images, audio, and video to R2 from Harness.

DS Bot: a team of long-lived Bots for DeepSeek Harness, with Main Bots, Bot-to-Bot messages and group chats

Config-driven lifecycle hooks for DSH: block or observe tool calls, and react to completed turns, messages, and title changes with shell commands.

Registers one tool, report_health, that answers whether a scheduled report job actually ran. It judges by side effects rather than exit codes: how old the newest report folder is, how many documents it holds, whether more than one report category is present, whether the audit ledger was synced recently, and how long ago the last log was written. Exits nothing, calls no model, and reads only local paths you can override by config or environment variable.

Contract clause work: build the clause tree, map it against a 12-key playbook, register the playbook and export the unresolved report — 5 `legal.*` tools.

Defines multi-agent team rosters as YAML or JSON files, validates them, bridges each member into dsh-agent-teams member arguments, and verifies the result against the running team.

Does AI sometimes take over your story and decide the plot for you? DSH Novel Beat pauses at key turning points while the AI writes, offers 2-4 distinct directions with their consequences, and waits for your call before continuing. Picks go into a book-wide ledger, and a post-chapter check flags drifted or missing changes.

DSH Pixel Team：DeepSeek Harness 的像素洞府多智能体团队协作与交付流水线（AgentTeams 衍生，MIT）。

Keeps an agent working continuously over long stretches: set a deadline, and if it finishes the task early, Dont-Stop automatically nudges it to keep iterating and take on the next step on its own.

Inject a personal rules file into the DeepSeek Harness system prompt, with silent-step and repeated-action loop guards editable from the settings dialog.

Stops the agent after N consecutive failures on the same tool. Instead of another retry it pushes a four-part stop instruction: what was tried, the exact error text, the likely cause, and what the user must do. Detection reads real tool results (isError or a non-zero shell exit code) and mirrors them through agent.steer, so the agent sees it as an inbound message rather than a log line.

官方 subagent 的默认策略包：装上一次配好「什么时候自己干、什么时候派出去、派给谁」。

Lightweight DeepSeek Harness (DSH) plugin: trigger, monitor and safely build n8n workflows from your AI agent.