Native local Taskboard plugin for DeepSeek Harness. SQLite-backed projects, Agent claim/review, and a native Web UI — no iframe, no second chat runtime.

Task board plugin for the DSH web GUI: a sidebar entry plus a multi-column kanban view with real execution through DSH sessions, schedules, session rules and auto-cruise automation. Board truth lives on the host and syncs to every device over SSE (the bro

Time-shifting task delegation for DeepSeek Harness (dsh): plan tasks at leisure, they run unattended off-peak, come back to a report. Human-adjudicated, desktop + web.

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

Visual Kanban board for DeepSeek Harness: Gitea and GitHub-backed tasks, workflow columns, and a dedicated agent session per task.

DeepSeek Harness (dsh) plugin: prompt your home servers into existence through home-hosted — Gitea, Jellyfin, anything — and manage the panel, the entries and boot autostart from dsh.

dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).

让 Agent 的工作方式可组合、可审查、可持续改进，最终实现 Agent Self Evoling。 DeepSeek Harness Web plugin with composable task controls and isolated, human-reviewed self-evolution.

Task-specific React apps for DeepSeek Harness with state carried into the next Agent turn

Compare multiple skills on the same task and pick the winner.

Forge quality gates for DeepSeek Harness (dsh): task gates, read-before-edit, bash hazard interception and quality scoring, driven by the forge CLI through DSH's typed interception points.

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.

DSH web plugin: a LiveBench tab in the Trajectory view (right of 对话/轨迹). Run LiveBench evaluations against every model configured in the DeepSeek Harness — pick provider/model, category, task, release and question range from dropdowns, watch progress, and

Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.

Branch from any answer and keep branching at any depth. Recursively isolated follow-ups that leave the main DSH task untouched.

Modern MVVM framework on the C++23 baseline — cross-platform, layered, coroutine-first. Reactive DAG (Property/Computed/Effect), Task<T>, and pluggable adapters (Continuo-powered HTTP).