BusinessOS

Optimal Engine is a self-hosted second brain and operating engine for human and AI workspaces. It preserves messy sources, organizes them into workspaces and Nodes, classifies Signals, turns extracted assertions into reviewable Claims, promotes accepted Claims into source-backed Facts and Memory Objects, assembles governed Context Packages, and projects the same state into markdown, wiki/API views, CLIs, MCP tools, and app surfaces. Use this skill when building or using persistent organizational memory, workspace topology, source-backed retrieval, agent work loops, multimodal intake, packages/exports, or governed tool/model execution. Architectural commitments: source-first evidence, workspace/Node scope, Signal = Mode + Genre + Type + Format + Structure, Claim -> Fact gate, Memory Core lineage, Context Packages, Active Memory Pools, Skill Packages, and projection surfaces over canonical runtime state. Self-hosted, MIT, runs locally first.

Analyze productivity trends, explain metrics, and identify bottlenecks. Answer questions like "why are tasks overdue" or "how am I doing this week". Provide actionable insights based on workspace data.

Create and configure custom dashboards with widgets. Add task summaries, burndown charts, project progress, upcoming deadlines, and metric cards. Group tasks by status, project, or priority. Set default dashboards.

Configure notification preferences, set quiet hours, and manage alerts. Control how and when you receive notifications for tasks, mentions, deadlines, and team activity.

Create and manage projects. Add team members, set deadlines, track status, and organize work. Configure project settings, templates, and workflows.

Create, update, complete, and delete tasks. Filter by status, project, priority, or due date. Bulk operations for efficiency. Assign tasks to team members and manage task dependencies.