Showing 60 open source projects for "python based intelligent agents"

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  • 1
    airda

    airda

    airda(Air Data Agent

    airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes.
    Downloads: 2 This Week
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  • 2
    Codel

    Codel

    Fully autonomous AI Agent that can perform complicated tasks

    Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.
    Downloads: 3 This Week
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  • 3
    SalesGPT

    SalesGPT

    Context-aware AI Sales Agent to automate sales outreach

    This repo is an implementation of a context-aware AI Agent for Sales using LLMs and can work across voice, email and texting (SMS, WhatsApp, WeChat, Weibo, Telegram, etc.). SalesGPT is context-aware, which means it can understand what stage of a sales conversation it is in and act accordingly. Moreover, SalesGPT has access to tools, such as your own pre-defined product knowledge base, significantly reducing hallucinations.
    Downloads: 2 This Week
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  • 4
    iX

    iX

    Autonomous GPT-4 agent platform

    IX is a platform for designing and deploying autonomous and [semi]-autonomous LLM-powered agents and workflows. IX provides a flexible and scalable solution for delegating tasks to AI-powered agents. Agents created with the platform can automate a wide variety of tasks while running in parallel and communicating with each other.
    Downloads: 10 This Week
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  • 5
    Nextpy

    Nextpy

    Self-Modifying Framework from the Future

    NextPy is a Python-based framework for building AI-powered automation agents, allowing developers to create intelligent, rule-based workflows.
    Downloads: 0 This Week
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  • 6
    SuperAGI

    SuperAGI

    A dev-first open source autonomous AI agent framework

    An open-source autonomous AI framework to enable you to develop and deploy useful autonomous agents quickly & reliably. Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple...
    Downloads: 3 This Week
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  • 7
    AgentVerse

    AgentVerse

    Designed to facilitate the deployment of multiple LLM-based agents

    AgentVerse is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation.
    Downloads: 5 This Week
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  • 8
    PromethAI

    PromethAI

    Open-source framework that gives you AI Agents

    PromethAI-Backend is a backend framework for AI-driven automation and knowledge extraction. It is designed to integrate with large language models (LLMs) to provide AI-enhanced workflows, including content generation, summarization, and data analysis.
    Downloads: 0 This Week
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  • 9
    AI-Agent-Host

    AI-Agent-Host

    The AI Agent Host is a module-based development environment.

    The AI Agent Host integrates several advanced technologies and offers a unique combination of features for the development of language model-driven applications. The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI...
    Downloads: 0 This Week
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  • 10
    Multi-Agent path planning in Python

    Multi-Agent path planning in Python

    Python implementation of a bunch of multi-robot path-planning

    multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI.
    Downloads: 0 This Week
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