Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.

Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.

Sondages présidentielle 2027 agrégés : moyennes, marges, tendances, duels.

Persistent multi-model workflow teams for DeepSeek Harness — dynamic lead planning, bounded DAGs, per-agent model/tools, Run Center and Token insights.

Enables agents to generate optimized multi-day travel schedules and decision payloads via MCP, applying TSP graph heuristics with fatigue decay and opening-hour constraints.

Enables agents to plan multi-day travel schedules by solving itinerary graphs with TSP heuristics, fatigue decay, and opening-hour constraints, exposed over MCP STDIO JSON-RPC for agent runtime integration.

Check lessons and courses against their learning objectives, with each fix written.

dsh「专家团」bundle：一句自然语言组建角色化多智能体「数字员工」团队，按九阶段门控流水线协作交付，实现者直接改代码并产出持久工件；带 live 团队浮层。 · Role-based multi-agent expert team for DeepSeek Harness: one sentence in, a staged and gated team delivery out.

Local dashboard for Claude Code and Codex CLI sessions: which Claude Code session needs input, every tool call and Claude Code subagent live, token cost and quota, several Claude accounts. Run npx ccdeck.

Run work in separate Orca worker agents and get their results back. Use when the user asks for Orca workers or supervision (monitor, task DAGs, ask/reply, decision gates), or when the work needs something your own subagents cannot give: a different agent (such as Codex from Claude) or its own Orca w

dsh-Openwrite：OpenWrite 的 DeepSeek Harness 小说创作插件，含统一创作 Agent、90 个小说工具、原生工作台与标准审稿 DAG

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.

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).

Enables AI tools to access and reason over structured school-management data such as attendance, grades, and occurrences, helping pedagogical coordinators investigate causes and choose timely support actions.