dsh-agent-team-gui
Persistent multi-model squads for DeepSeek Harness with durable orchestration, DAG workflows, run history, and provider-reported token usage
20 results
Persistent multi-model squads for DeepSeek Harness with durable orchestration, DAG workflows, run history, and provider-reported token usage
KodaX-parity dynamic workflow harness for DeepSeek Harness
Native DSH rooms for connecting independent sessions and provider-backed AI members without bundled roles or scenarios.
Multi-agent orchestration and LLM model routing for DeepSeek Harness (DSH): semantic AI agent Specialists, exact model routes, declarative Cohorts and Strategies, and bounded subagent delegation.
Native continuity recovery for long-running DeepSeek Harness agents
Asynchronous, LLM-summarized context handoff between DeepSeek Harness sessions and agent rooms.
Deploy the ArchGraph ARGO toolchain, skills, and rules (schema, scripts, argo-init skill, global rule) with one command.
A single project operating map for DeepSeek Harness.
DSH five-agent dungeon party orchestration plugin
Two-tier model router for DeepSeek Harness — automatic execution/judgment routing with LLM Judge, multi-model fallback chains, and exponential-backoff runtime failover. A DSH adaptation of pi-shift-router.
A project-agnostic multi-agent collaboration protocol for the DeepSeek Harness: loop guards that stop runaway agent loops, a six-field handoff format, risk-tiered review routing, and a fixed verify-commit-push-review-close sequence.
Native RoleHub discovery, verified role Sessions, and Agent Team Room integration for DeepSeek Harness.
Local-first issue board for DeepSeek Harness: board data, model-facing tools, an agent planning loop, and a human approval queue for agent-proposed issues.
Starship-bridge orchestration for DeepSeek Harness: the captain issues plain-language orders from the bridge; the XO drafts verifiable missions; away-team subagents (recon/engineer/medic/scribe) execute in isolated workspaces with evidence-based acceptance and an append-only campaign ledger.
Design, observe, diagnose, and reuse evidence-backed multi-Agent work in DeepSeek Harness
Multi-agent orchestration for DeepSeek Harness: delegate, adversarial review, diverse explore, background runs + converge. One prompt. A team of agents.
DeepSeek Harness (dsh) plugin: run work as a small crew of role agents (product manager, researcher, architect, engineer, test engineer, code engineer, QA, code reviewer, security reviewer, doc reviewer) that talk through files on disk, with the PM as the
Focused child-agent delegation (scout, researcher, worker, reviewer, oracle, delegate) and multi-agent workflows (council, parallel review, review loop) for DeepSeek Harness.
智能体选择器:像模型选择器一样在输入框旁勾选委派目标+具体模型,把对话任务派给外部智能体(Codex CLI / WorkBuddy 内置模型活动价 automation 桥 / WorkBuddy 自定义模型直连 / Claude Code)执行,结果流回 DSH 对话。含 agent_dispatch 工具 + composer 两步下拉 + 设置面板 + 桥健康探活 + 反冒充出处凭证。
EN: Settings and default-route layer for official DeepSeek Harness subagents: session/role/global model routing with a composer selector. ZH: 面向 DeepSeek Harness Web 官方子代理的设置与默认路由层:会话/角色/全局模型路由与输入框选择器。