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  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.
    8
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.
    25
    -
  • A
    license
    A
    quality
    B
    maintenance
    Enables construction teams to create local projects, record sourced field evidence, run deterministic quantity calculations, and draft daily logs, estimates, and change orders with visible assumptions and human approval gates. Keeps all data local and portable with no external side effects.
    10
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables an agent client to build a single-day shop handover plan and check whether entered tasks have coverage, surfacing exact time overlaps and other blockers that prevent a workable handover. Supports version-checked assignment, simulated helper acceptance, cancellation, time correction, and scope confirmation, reopening affected duties when a helper drops out while leaving the rest intact.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides MCP tools for AI agents to create and read decision decks, propose cards and build plans, and retrieve finished tasks, enabling local decision review workflows with portable task handoffs.
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables an MCP-compatible host to connect to a local event-planning work ledger, where users can create and revise missions, draft and save artifacts, manage tasks, decisions, outcomes, proposed memory, next actions, and handoff requests through twelve bounded local tools. It supplies the connection and role instructions while relying on the host's reasoning model and making no provider calls.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
    11
    50 npm
    49
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI assistants to search and manage construction project economic data, including unit price analyses, resource catalogs, budget trees, and price lists, with secure multi-tenant access.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Project management CLI + MCP server for AI agents. Register projects once, open them anywhere, sync to S3, auto-init git, and wire into the hasna ecosystem.
    4,335 npm
    Apache 2.0
  • A
    license
    C
    quality
    C
    maintenance
    Unified MCP server for Mingdao platform, providing 98 tools for collaboration APIs (v1) and HAP gateway. Enables AI IDEs to interact with Mingdao's features like schedules, workflows, knowledge bases, etc.
    50
    5
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Connects AI assistants to ITM Platform for searching projects, inspecting budgets, creating tasks, logging risks and issues, and updating project details via natural language.
    92 npm
    MIT