@nanmicoder/dsh-agent-teams
AgentTeams for DeepSeek Harness: multi-agent team collaboration (captain, members, tasks with dependencies, messaging) driven by natural language, with a tree monitor in the web GUI
22 results
AgentTeams for DeepSeek Harness: multi-agent team collaboration (captain, members, tasks with dependencies, messaging) driven by natural language, with a tree monitor in the web GUI
独立 dsh 插件:会话内初始化/接入本地王国,Territory/Binding CRUD + Task 治理闭环(Worker Claim ≠ Fact)+ Execution 生命周期 + v0.8 Persistent Governed Worker(长期 Session / Territory Affinity / Capability Gate / Execution Lease / Dispatch Evidence / Reconciliation)+ 本地 GUI 通道
Native DSH rooms for connecting independent sessions and provider-backed AI members without bundled roles or scenarios.
Live office: multi-agent activity rendered as a pixi.js office of ox/horse workers, in a Web UI tab next to the trajectory view
DSH plugin: Sisyphus agent orchestration — star topology, single-line blocking, 7 specialist sub-agents (Hermes/Explore/Librarian/Looker/Hephaestus/Prometheus/Oracle) with per-type model binding, go_work/continue/need_help/forward communication tools, Web UI tree panel and settings.
Asynchronous, LLM-summarized context handoff between DeepSeek Harness sessions and agent rooms.
Local-first, durable workflow runtime for Agent Apps—compile static Workflow DSL to LangGraph and orchestrate trusted multi-agent execution through Codex, WorkBuddy, DeepSeek Harness, or any MCP client.
Native RoleHub discovery, verified role Sessions, and Agent Team Room integration for DeepSeek Harness.
Multi-agent dashboard skill for DeepSeek Harness -- status reports, task tracking, progress visualization
Leaderless flat agent teams for DeepSeek Harness: cross-window structured task dispatch, recorder service, and web dashboard
Run Claude Code and Codex as live terminal panes beside dsh: a split view in the web UI, buttons to seat them, and tools that let the dsh agent hand them work and read their screens.
AgentMonitor multi-agent monitoring panel for the DeepSeek Harness — a sidebar entry that serves an embedded agent-monitor dashboard via the /agentmonitor webserver route. Ships a self-contained static dashboard (works out of the box) and lets you point dataDir at your own live data pipeline.
Fork any session into a different agent preset — a UI button with preset picker in the conversation header.
DSH-native multi-AI group chat: the host (user) runs a chatroom of configurable AI agents with per-agent models, role cards, mute controls, and passive/active speaking modes — pure Node.js/Cordis, no Tauri/Rust
项目 Agent 管理: a supervisor (主管) workspace + N dev-project workspaces, with logical isolation, task handoff, and a sidebar panel for DeepSeek-Harness agents.
DeepSeek Harness Web plugin for visualizing, arranging, branching, merging, and summarizing AI agent sessions on an interactive graph canvas
Danus-native DSH plugin suite: verifier-gated mathematical proof-search orchestration (fact graph, role-gated tools, cold-start verifier, worker swarm, orchestration tools, heartbeats).
Role-based AI swarm orchestration for DeepSeek Harness: duty-table model pinning per role, parallel task DAG with review loops, and a live Swarm dashboard tab in the web GUI.
Interactive long-session background agents plus persistent multi-agent team rooms for DeepSeek Harness: durable continuable child agents with progress, steering and interruption, and cross-session team rooms with a message bus, shared task board, approval
DeepSeek Harness 子代理团队插件:9 个专职子代理(读/写/代码/文档/修复/审查/识图 + 统筹)+ 代码质量流水线 + 长任务(continuable) + Token/预算可调 + 性能优化;并内置持久化多代理团队运行时(建队/成员/任务依赖/邮箱/事件调度/浮层 UI)。遵循官方 bundle 形态,支持 GitHub / npm / 本地目录安装。
Fixed five-member dev team for DeepSeek Harness driven by the spec-superflow state machine: captain + spec-writer/architect/engineer/reviewer/docs, phase-tagged tasks with dependencies, auto phase advancement with a human build gate, and a workflow stepper in the web GUI
AgentTeams for DeepSeek Harness: multi-agent team collaboration (captain, members, tasks with dependencies, messaging) driven by natural language, with a tree monitor in the web GUI