AI Local Agents
Build autonomous AI agents for local LLM inference, memory handling, and voice interaction, automating various tasks without relying on external APIs.
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AI Local Agents empowers users to create sophisticated autonomous AI agents using local Large Language Models (LLMs) with technologies like Ollama and LangChain, eliminating the need for external APIs and ensuring privacy. This versatile Python-based collection enables the development of chatbots, voice assistants, web scrapers, and document readers, offering robust capabilities for memory handling, semantic search, and state management. It's designed for exploring local LLM inference and automating a wide range of tasks directly on your machine.
Características Principales
- Chatbot creation for customer queries
- Local LLM inference with Ollama and LangChain
- Voice assistants for voice command interaction
- Web scrapers for effortless data collection
- Document readers for summarizing various formats
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Casos de Uso
- Automating customer support with intelligent chatbots
- Building voice-controlled interfaces for computer interaction
- Extracting and summarizing information from websites and documents
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