Python package showcasing the capability of LLMs to simulate credible human behavior.
SkyAGI is a Python package designed to showcase the emerging capabilities of large language models (LLMs) in simulating credible human behavior. By implementing the concept of generative agents, SkyAGI provides a role-playing game, creating a very engaging application scenario that allows users to explore and study the simulation of human behavior.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"name": "skyagi",
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"url": "https://agentsignals.ai/agents/skyagi",
"applicationCategory": "研究",
"operatingSystem": "GitHub",
"sameAs": "https://github.com/litanlitudan/skyagi",
"installUrl": "https://github.com/litanlitudan/skyagi",
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"description": "免费",
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"featureList": [
"Simulating Credible Human Behavior",
"LLM-based Role-playing Game Implementation",
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"datePublished": "2025-12-05T14:51:58.973232+00:00",
"dateModified": "2025-12-20T16:49:13.469921+00:00",
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"@type": "FAQPage",
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"text": "Python package showcasing the capability of LLMs to simulate credible human behavior."
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"text": "Simulating Credible Human Behavior, LLM-based Role-playing Game Implementation, Generative Agent Technology"
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"@type": "Question",
"name": "What are the use cases for skyagi?",
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"text": "Human Behavior Simulation Research, Education and Training, Entertainment and Game Development"
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"@type": "Question",
"name": "What are the advantages of skyagi?",
"acceptedAnswer": {
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"text": "前沿技术应用, 提供了丰富的研究和教学资源, 开放源代码"
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"@type": "Question",
"name": "What are the limitations of skyagi?",
"acceptedAnswer": {
"@type": "Answer",
"text": "对计算资源要求较高, 需要一定的编程知识"
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