agent-ecologies MCP Server
israriqbal/agent-ecologies
[](https://agentrank-ai.com/tool/israriqbal--agent-ecologies/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Ultimate Multi-Agent OS for Autonomous AI NPCs 2026
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
israriqbal/agent-ecologies is a HTML tool. Ultimate Multi-Agent OS for Autonomous AI NPCs 2026 Topics: agent-framework, ai-agent, ai-simulation, anthropic, autonomous-agents, deepseek, fastapi, game-ai, mcp, multi-agent, npc, pixel-art, react, tool-use, virtual-world.
Ranked #6180 out of 24846 indexed tools.
Ecosystem
Score Breakdown
121 stars → growing community
Last commit 29d ago → recently updated
No issues filed → no history to score
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Agent-Worlds **Where AI Characters Come Alive: A Living, Breathing Digital Ecosystem for Autonomous NPCs** Imagine a pixel-art world where artificial intelligence agents don't just respond—they *live*. They wake up, wander through sun-dappled forests, strike up conversations with strangers, learn new skills, and form relationships. Welcome to **Agent-Worlds**, the multi-agent operating system designed for LLM-powered non-player characters that exist autonomously in a persistent 2D environment. This is not a chatbot bolted onto a game. This is a sentient microcosm where every character has memory, purpose, and the freedom to evolve. Built on the Model Context Protocol (MCP), Agent-Worlds orchestrates interactions between multiple large language models—whether it's DeepSeek's raw reasoning, OpenAI's conversational fluency, or Claude's nuanced dialogue—to create characters that feel genuinely alive. ## ### Overview 🌟 Agent-Worlds reimagines how AI characters inhabit digital spacRead full README on GitHub →
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