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Mnehmos/README.md

Mnehmos

🌐 Live Site: mnehmos.github.io/Mnehmos

MCP Infrastructure Developer · Multi-Agent Systems · AI-Powered Games

Building tools that let AI agents interact with complex stateful systems—whether that's a computer desktop, a distributed workflow, or a D&D campaign.

GitHub StarsMulti-Agent FrameworkMCP Tools


🔧 The Mnehmos Ecosystem

MCP Servers

ProjectToolsDescription
mnehmos.ooda.mcp62Full computer control—filesystem, shell, screen, keyboard, mouse, clipboard
mnehmos.synch.mcp19Persistent memory bank, context handoffs, locks for agent coordination
mnehmos.trace.mcp11Schema validation between MCP producers and consumers
mnehmos.index-foundry.mcp40+Deterministic RAG pipeline → deployed chatbots in minutes
mnehmos.arxiv.mcp4Academic paper search with PDF extraction and caching
mnehmos.rpg.mcp145Full D&D 5e backend—combat, spells, quests, 1100+ creature presets
mnehmos.chatrpg.game30+Lightweight D&D 5e server for web deployment

Frameworks & Research

ProjectDescription
mnehmos.multi-agent.framework528⭐ · Production-ready multi-agent coordination (SPARC + Boomerang + TDD)
mnehmos.prompts.research182 techniques from 20+ papers · Interactive taxonomy, prompt builder

Shipped Products

ProductPlatformDescription
mnehmos.quest-keeper.gameDesktop (Tauri)AI Dungeon Master + 3D battlemap + 7-layer context (~5K tokens)
mnehmos.long-hall.gameWebProcedural roguelike with ironman saves & cloud leaderboards
mnehmos.portal-chess.gameWebMultiplayer chess with portal teleportation mechanics
mnehmos.invoicer.appWebLocal-storage invoice generator with PDF export

📊 By The Numbers

300+ MCP tools across 7 servers
528 GitHub stars on Multi-Agent Framework
182 Prompt engineering techniques documented
145 D&D 5e tools in RPG Engine
800+ Passing tests in game engine
1100+ Creature presets for instant encounters
7 Context layers in Quest Keeper AI

🏗️ Architecture Philosophy

Tools don't think, they act.

Every MCP server I build follows these principles:

  • Deterministic: Same inputs → same outputs
  • Idempotent: Re-running produces identical results
  • Auditable: Every operation produces manifests and logs
  • Composable: Tools can be run independently or chained

The LLM proposes. The engine validates. State comes from the database, not hallucination.


🔗 Quick Links

MCP Servers

Live Demos

Documentation


📫 Contact

  • GitHub: @Mnehmos
  • Location: Arizona, USA
  • Focus: MCP servers, multi-agent systems, AI-powered applications

Building infrastructure for AI agents that interact with the real world.

Pinned Loading

  1. mnehmos.multi-agent.frameworkmnehmos.multi-agent.frameworkPublic template

    Astro 534 67

  2. mnehmos.rpg.mcpmnehmos.rpg.mcpPublic

    TypeScript 41 29

  3. mnehmos.index-foundry.mcpmnehmos.index-foundry.mcpPublic

    RAG indexing and retrieval MCP server

    TypeScript 5 1

  4. mnehmos.ooda.mcpmnehmos.ooda.mcpPublic

    OODA loop MCP server with filesystem, CLI, and automation tools

    TypeScript 8 1

  5. mnehmos.synch.mcpmnehmos.synch.mcpPublic

    Agent synchronization MCP server for memory and context sharing

    TypeScript 3

  6. mnehmos.trace.mcpmnehmos.trace.mcpPublic

    MCP schema tracing and validation server

    TypeScript