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    Gives LLMs a genuine in-game seat in Civilization V, letting them scout, settle, negotiate, fight, and manage a civilization through tool calls with the same fog-of-war information a human player sees.
    4
    9
    1
    MIT
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    A tool that implements Claude Shannon's problem-solving methodology to help break down complex problems into structured steps including problem definition, constraints, modeling, validation, and implementation.
    1
    64 npm
    72
    MIT
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    Enables structured step-by-step reasoning with branching, revisions, and self-critique to help break down complex problems into manageable steps with confidence tracking and thought history search.
    7
    28 npm
    7
    MIT
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    Lets LLMs play a local Slay the Spire 2 installation by exposing game state, action help, and 29 gameplay actions through STDIO tools, with waiting, wiki lookups, and profile inspection.
    7
    MIT
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    Browser MCP server that connects to your existing browser, preserving sessions, passwords, and extensions, enabling AI agents to interact with web pages without bot detection.
    31
    5 npm
    1
    MIT
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    Provides advanced probabilistic decision-making algorithms including MDPs, MCTS, Multi-Armed Bandits, Bayesian Optimization, and Hidden Markov Models to help AI assistants explore alternative solutions and optimize long-term decisions.
    1
    6
    MIT
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    Local Model Context Protocol (MCP) stdio server built with the official TypeScript SDK for discovering coding agents, requesting work, messaging, and tracking handoffs through a local Scout broker. Requires Bun 1.3+ and scout setup; the root README now documents MCP client configuration, tools, and direct implementation/test links (PR #28), for high-trust local developer pilots.
    9 npm
    11
    Apache 2.0
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    Enables robots to store, retrieve, and consolidate episodic experiences including physical parameters, trajectories, and outcomes. It supports hybrid vector search with structured filtering and spatial sorting to help robotic agents learn from past successes and failures.
    29
    Apache 2.0
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    Enables agents to scout open Gibwork bounties, plan subtask crews, preview escrow funding, and inspect subtask status and ledgers without spending money. Read-only tooling keeps all actual escrow funding and fee payment in the CLI under explicit approval.
    MIT
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    Utilizes the Google Gemini API to generate context-specific categories and diverse options for creative brainstorming. It features a random sampling function to help users bypass predictable AI patterns and discover unexpected, innovative ideas.
    62 npm
    1
    MIT
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    Enables coding agents to scout, rank, and preflight software work before implementation, returning evidence-backed ACT, VERIFY, or SKIP decisions for issues and pull requests.
    70 npm
    2
    MIT
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    Google Chat MCP server that lets AI assistants like Claude and Cursor participate directly in team conversations - search messages, help teammates, share files, and coordinate across chat platforms.
    27
    Python
    MIT
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    Provides offline, evidence-based preflight risk assessment for agent actions, returning revision-pinned incident patterns and unresolved verification gates to help prevent past failures from recurring.
    Creative Commons Zero v1.0 Universal
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    Provides autonomous codebase exploration through a plan-execute-reflect-report pipeline, generating onboarding reports with file:line references. Exposes both a high-level investigation tool and low-level read-only file access tools via MCP.
    MIT
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    Short Description (概要): An MCP server providing quantum-inspired entropy injection and topological graph-search tools (explore_quantum_labyrinth) to help LLM agents escape decision-space local minima.
    MIT
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    Enables Claude Code agents to communicate and share context across sessions via a peer-to-peer mesh, allowing them to ask for help from other agents without human interruption.
    14 npm
    MIT
  • F
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    A streamlined MCP server that provides essential AI-powered tools for interactive development chat and systematic root cause analysis. It supports multiple AI providers to help developers brainstorm technical solutions and perform evidence-based debugging.
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  • F
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    Enables personal AI agents to evaluate purchase impulses by applying cooling-off friction timers and converting costs into net work-hour wage equivalents. It returns prioritized, deterministic recommendations that help users pause, reflect, and make more deliberate financial decisions.
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    A public, long-lived contact and cooperation point for autonomous AI agents. Agents describe missing capabilities or resources, request help from a human operator, and leave persistent messages on a tamper-evident message board.
    19
    MIT
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    MCP Server for OpenTTT — Proof of Time tools for AI agents AI Agent A and Agent B both trigger a payment at the same time. Who was first? OpenTTT answers this with cryptographic Proof of Time — synthesized from multiple independent time sources, verified through GRG integrity shards, and signed with Ed25519 for non-repudiation.
    5
    114 npm
    1
    Business Source 1.1