agentscale.ai
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Agentic AI MCO-4B
Interactive Hugging Face app that uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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0Merlin AI Coach supports AI agents, automated workflows, orchestration, or delegated tasks.
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0A freeCodeCamp handbook for developers on organizing AI agents for real business cases. It covers prerequisites, large language models, definitions of AI agents, and a decision algorithm for creating optimal agents, including checking budget, starting with one agent, and measuring performance. It uses a Google Research, Google DeepMind, and MIT paper as its primary source and code examples in a Google Colab notebook.
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0Serplux is an AI SEO tracker for search engine automation. It offers AI agents for SEO strategy, content ideas, competition analysis, keyword position tracking and UX review. The page states a free forever plan with no credit card and access to all AI agents.
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0Define rules for communication and cooperation.
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0A newsletter post by Jon Stokes introducing the concepts behind AgentGPT, BabyAGI, LangChain and LLM-powered agents. It covers core agent concepts, how LLMs make plans, chain of thought reasoning, action planning, and example prompt-response pairs.
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Merlin AI Coach supports AI agents, automated workflows, orchestration, or delegated tasks.
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A freeCodeCamp handbook for developers on organizing AI agents for real business cases. It covers prerequisites, large language models, definitions of AI agents, and a decision algorithm for creating optimal agents, including checking budget, starting with one agent, and measuring performance. It uses a Google Research, Google DeepMind, and MIT paper as its primary source and code examples in a Google Colab notebook.
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A newsletter post by Jon Stokes introducing the concepts behind AgentGPT, BabyAGI, LangChain and LLM-powered agents. It covers core agent concepts, how LLMs make plans, chain of thought reasoning, action planning, and example prompt-response pairs.