task-planner
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Alternatives to task-planner
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Related Servers
- AlicenseAqualityBmaintenanceStrategic BDI cognitive reasoning engine for AI agents. Goal decomposition DAGs, multi-factor utility scoring, risk evaluation, and adaptive replanning over MCP.15150 npm13MIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP-capable agents to solve scheduling and integer optimization problems using Google OR-Tools, return proven-optimal or valid solutions, independently verify proposed solutions, and explain infeasible rule sets.MIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP clients to schedule task graphs, compute critical paths and slack, lease lock-aware parallel cohorts to agents, version plan-as-code variants, and track earned value with resource leveling and Monte Carlo risk analysis.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables agents to read household context, capture draft tasks, analyze schedule ripple effects, and propose plans while enforcing human-only approval, stale-plan refusal, and idempotent requests.MIT
- AlicenseNot gradedqualityBmaintenanceEnables users to plan cost-aware task decomposition and model assignment by capability and credit multiplier, with optional execution through an OpenAI-compatible endpoint and relative credit reporting.MIT
- AlicenseNot gradedqualityCmaintenanceEnables monitoring of running agent loops with token and monetary cost estimation, pruning of verbose thinking chains near limits, and routing sub-tasks between fast/cheap and deep reasoning models. It provides deterministic, MCP-compatible budget optimization for autonomous agents and copilot frameworks.MIT
TDQS
Scored across 3 tools
The three tools have distinct core purposes: full planning, incremental next-action selection, and validation of a proposed selection. plan_tasks and plan_next_action both involve planning and could be confused at first glance, but the descriptions clarify their different outputs and usage contexts.
All tool names use a consistent snake_case verb-based pattern: plan_tasks, plan_next_action, check_plan. The convention is predictable and readable.
Three tools are well-scoped for a task planner: one for full planning, one for replanning the next action, and one for validating a plan. Each tool has a clear role and earns its place.
The surface covers full planning, incremental replanning, and plan validation, which are the core lifecycle operations for this domain. Minor gaps might include explaining why a plan is infeasible or suggesting repairs, but agents can work around these by using check_plan and replanning.