dsh-loopx-plugin
loopx-project/loopxLoopX——面向长周期 Agent 的提供商中立、本地优先状态内核与控制平面:在 DeepSeek Harness 执行层之上持久化 Goal、Todo、门禁、证据、配额、恢复与交接状态;插件负责引导安装 CLI 与技能、准入有界的同会话续跑,并为精确绑定的工作循环提供本地 GoalBar。
给 DSH 一个可长期协作的持久 Agent 团队:Agent 是持久身份,Workspace 按项目组织,Channel 承载职责分派,Task Thread 串联多个 session agent 协作推进。
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dsh-agent-team gives DeepSeek Harness agents that don't reset. Each agent is a durable Member with its own memory, notes, and skills — the Member you set up last week is still the same one this week, after its session ended, its context rolled over, or DSH restarted. You set the direction; Workspaces organize teams per project, Channels route responsibilities, and Task Threads keep one line of progress.
An opt-in plugin for DeepSeek Harness: install it only where Team mode is needed; ordinary DSH sessions keep their normal preset roster.
context_rollover), return to a past anchor (context_status / context_checkpoint), or shorten the current one in place (context_compact); pending work survives switches and restarts, and memory and notes keep accumulating — a member carries its full memory into every new context.Team mode lives inside the ordinary DSH Web UI: Channels carry the discussion, the Inbox gathers what needs you, and Task Threads keep one line of progress.
The Human Inbox leads with unread Threads that need you, followed by recently active ones:
A Task Thread keeps Claims, Agent handoffs, Human acceptance, and follow-up replies in one durable context.
If this looks useful, a star on GitHub helps other DSH users find it.
This release is certified against DSH 0.2.0-rc.2. Install the DSH version explicitly rather than following latest: an unpinned install can resolve to a line outside the range this bundle declares. On DSH 0.1.7-rc.2, stay on @wowyuarm/dsh-agent-team 0.1.15.
npx @deepseek-ai/dsh@0.2.0-rc.2 webInstall it globally if you want the dsh command for the steps below: npm i -g @deepseek-ai/dsh@0.2.0-rc.2.
Stop it, then install Agent Team into the web profile:
dsh plugin --profile web add @wowyuarm/dsh-agent-team@0.2.0The version is pinned deliberately: pnpm skips releases published less than 24 hours ago, so an unpinned @latest install resolves to the previous release on release day.
dsh webDo not start DSH from its source checkout (pnpm dsh web): source mode loads a second copy of the scope module, so every member reports selected preset is not team-enabled. Always start the compiled CLI.
Agent Team is opt-in. Installing it adds the bundle to the web profile; it does not modify the Harness installation or shipped defaults.
Before starting the UI, you can inspect the composed profile:
dsh --profile web --dump-configThe output should include Team rows such as wowyuarm-agent-team-scope and wowyuarm-agent-team-client. In the browser, enter Team mode from the DSH navigation. The first useful path is:
Team mode
└── select a Workspace
├── Channels -> New Channel -> send the first message
└── Agents -> Add Agent -> choose its initial ChannelsCreate an Agent only in a trusted Workspace. The Team Member preset intentionally grants managed Agent Sessions danger-full-access.
Three other DSH plugins carry similar names and solve a different problem — one of them may fit you better:
Plugin · What it is · Its unit of work NanmiCoder/dsh-agent-teams · Turns the current DSH session into a captain that assembles sub-agents, splits a goal into dependency-aware tasks, and coordinates them through direct messages · one session toolclub/dsh-agent-team-gui · A reusable plan → implement → review team with a model chosen per member, and a Run Center for token usage · one workflow run limuyang2/agent-team — publishes @limuyang2/dsh-agent-team · Builds a team of independent root agents inside one DSH window: mix models and providers, assign one Leader, and let every member work in its own conversation over a shared Workspace · one assembled team `dsh-agent-team` (this plugin) · Every agent is a durable Member identity with its own private memory, notes and skills; Channels and responsibilities are yours to assign, and a Task Thread is one line of progress · a standing team
The practical difference: a Member you created last week is still the same Member today — same memory, same responsibilities, same private notes — after its session ended, its context rolled over, or DSH restarted. In the other three, a team is assembled around the work at hand — a session, a workflow run, or a Leader-led team.
Remove the bundle from the profile; this also removes its composed layers:
dsh plugin --profile web remove @wowyuarm/dsh-agent-teamteam-member preset with five model-facing tools: team_inbox, team_thread, team_message, team_claim, and team_view.The Team is one collaboration domain per DSH home. Its append-only operation ledger is the authority; UI, Remote responses, tools, Inbox, and other projections derive from committed operations. Ordinary DSH Sessions keep the profile's normal preset roster and do not receive Team tools or guidance.
For development, install the local bundle into the same profile:
dsh plugin --profile web add /absolute/path/to/dsh-agent-team
dsh webPublished packages include built artifacts. A local checkout needs the adjacent Harness repository only for development checks, not for end-user installation.
Contributing: CONTRIBUTING.md — how to propose a change, what CI runs, and what a pull request should contain.
Read docs/README.md for the maintained documentation index. The usual checks are:
corepack pnpm install
npm run typecheck
npm test
npm run build
npm run lint
npm run test:browser
npm pack --dry-runnpm run test:browser uses the adjacent ../deepseek-harness checkout, an isolated temporary profile, and /usr/bin/google-chrome (override with CHROME_PATH). It does not need provider credentials. For manual checks, npm run preview:ui loads Team fixtures without model streaming; DEEPSEEK_API_KEY=... npm run preview starts the real provider preview. Both preview commands clean up their temporary state on Ctrl+C.
Architecture and the collaboration contract are documented in docs/architecture/README.md and docs/team-collaboration/README.md.
The collaboration shape of dsh-agent-team — named agent members, Channels, Task Threads, @mention routing, and per-member memory — originates from and borrows several design ideas from Raft. Thank you for the work.