Showing 17 open source projects for "intelligent"

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  • 1
    MetaGPT

    MetaGPT

    The Multi-Agent Framework

    The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo. Assign different roles to GPTs to form a collaborative software entity for complex tasks. MetaGPT takes a one-line requirement as input and outputs user stories / competitive analysis/requirements/data structures / APIs / documents, etc. Internally, MetaGPT includes product managers/architects/project managers/engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.
    Downloads: 14 This Week
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  • 2
    GLM-4.5

    GLM-4.5

    GLM-4.5: Open-source LLM for intelligent agents by Z.ai

    GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for immediate responses. ...
    Downloads: 7 This Week
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  • 3
    II Agent

    II Agent

    A new open-source framework to build and deploy intelligent agents

    II-Agent is an open-source intelligent assistant framework designed to automate complex workflows across multiple domains using large language models and external tools. The platform allows users to interact with multiple AI models within a single environment while connecting those models to external services and knowledge sources. Through a unified interface, users can switch between models, access specialized tools, and execute tasks that require information retrieval, code execution, or file analysis. ...
    Downloads: 0 This Week
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  • 4
    MaiBot

    MaiBot

    Maimaibot, a (more focused) multi-platform intelligent agent

    MaiBot is an open-source conversational AI agent designed to participate in group chats and behave like a socially aware digital persona. The project focuses on creating a more human-like interactive experience by combining large language models with behavioral planning and contextual awareness. Instead of functioning as a traditional command-driven chatbot, the system attempts to simulate natural social participation within group conversations. It can generate responses that imitate human...
    Downloads: 8 This Week
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  • 5
    All-in-RAG

    All-in-RAG

    Big Model Application Development Practice 1

    All-in-RAG is an open-source educational project designed to teach developers how to build applications using retrieval-augmented generation techniques. The repository provides a structured learning path that covers both theoretical foundations and practical implementation steps for RAG systems. It explains the full development pipeline required to create knowledge-aware AI assistants, including data preparation, document indexing, vector embedding generation, and retrieval strategies. The...
    Downloads: 2 This Week
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  • 6
    Tauric TradingAgents

    Tauric TradingAgents

    Multi-Agents LLM Financial Trading Framework

    ...The architecture is modular, allowing developers to extend or customize agent behaviors. It is particularly useful for quantitative research and algorithmic trading development. Overall, it provides a flexible platform for building intelligent trading systems powered by AI.
    Downloads: 1 This Week
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  • 7
    METATRON

    METATRON

    AI-powered penetration testing assistant using local LLM on linux

    METATRON is a multi-agent AI orchestration framework designed to coordinate complex workflows across multiple intelligent agents. It provides a structured system for task delegation, communication, and collaboration between agents. The framework emphasizes scalability, allowing multiple agents to work together on large or complex problems. It includes mechanisms for managing context, memory, and execution flow across tasks. METATRON is particularly useful for building advanced AI systems that require coordination rather than isolated responses. ...
    Downloads: 0 This Week
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  • 8
    OpenPlanter

    OpenPlanter

    Language-model investigation agent with a terminal UI

    OpenPlanter is an open-source Python project focused on building an intelligent automated planting or gardening system powered by software control and data processing. The repository is designed to help developers and hobbyists create programmable plant management workflows that can monitor, schedule, and optimize growing conditions. It emphasizes automation and extensibility, allowing integration with sensors, environmental data, and control logic for smart cultivation setups. ...
    Downloads: 0 This Week
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  • 9
    ai-cookbook

    ai-cookbook

    Examples and tutorials to help developers build AI systems

    ...The repository contains examples that demonstrate how to build AI workflows using modern tools such as large language models, autonomous agents, and external APIs. Developers can learn how to construct applications like intelligent assistants, automation pipelines, and AI-powered data analysis tools through step-by-step tutorials and ready-to-run scripts. The code examples are designed to emphasize practical architecture patterns that are commonly used in production environments, helping developers understand how to integrate AI services into software products.
    Downloads: 1 This Week
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  • 10
    RecAI

    RecAI

    Bridging LLM and Recommender System

    ...Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent recommendation engines. The project explores several approaches, including fine-tuning language models using user behavior data, building recommender agents, and using LLMs to explain recommendation results. RecAI also investigates how conversational interfaces powered by LLMs can improve the personalization and transparency of recommendation systems.
    Downloads: 0 This Week
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  • 11
    UFO³

    UFO³

    Weaving the Digital Agent Galaxy

    UFO is an open-source framework developed by Microsoft for building intelligent agents that automate interactions with graphical user interfaces on the Windows operating system. The system allows users to issue natural language instructions that are translated into automated actions across multiple desktop applications. Using a dual-agent architecture, the framework analyzes both visual interface elements and system control structures in order to understand how applications should be manipulated. ...
    Downloads: 0 This Week
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  • 12
    SGR Agent Core

    SGR Agent Core

    Schema-Guided Reasoning (SGR) has agentic system design

    SGR Agent Core is an open-source framework for building intelligent AI research agents based on a methodology known as Schema-Guided Reasoning (SGR). The framework provides a core library that allows developers to design autonomous agents capable of structured reasoning and complex task execution. Instead of relying solely on free-form prompts, the system organizes reasoning processes around schemas that guide how agents analyze problems, gather information, and generate outputs. ...
    Downloads: 0 This Week
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  • 13
    MING

    MING

    A large-scale model of medical consultation in Chinese

    MING is an open-source medical large language model designed for intelligent medical consultation and question answering in Chinese. The project focuses on building a healthcare-focused conversational system capable of responding to medical questions, analyzing case descriptions, and guiding diagnostic reasoning. It is trained using medical instruction tuning so that the model can understand patient symptoms and respond with structured explanations and clinical suggestions.
    Downloads: 0 This Week
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  • 14
    Sage Chat

    Sage Chat

    Chat with any codebase in under two minutes | Fully local

    Sage is an open-source AI developer assistant designed to help engineers understand and work with complex codebases more effectively. The tool functions similarly to an intelligent research agent that can analyze a repository and answer questions about how the software works. Instead of focusing solely on code generation, Sage emphasizes code comprehension, system architecture analysis, and integration guidance. Developers can ask natural language questions about a project, and the system responds with explanations supported by references to the relevant code, documentation, or external technical resources. ...
    Downloads: 0 This Week
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  • 15
    BISHENG

    BISHENG

    BISHENG is an open LLM devops platform for next generation apps

    ..."Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.
    Downloads: 0 This Week
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  • 16
    OpenAI Forward

    OpenAI Forward

    An efficient forwarding service designed for LLMs

    OpenAI Forward is an open-source forwarding and reverse proxy service for large language model APIs, designed to sit between client applications and model providers. Its main purpose is to make model access more manageable and efficient by adding operational controls such as request rate limiting, token rate limiting, caching, logging, routing, and key management around existing LLM endpoints. The project can proxy both local and cloud-hosted language model services, which makes it useful...
    Downloads: 0 This Week
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  • 17
    code-act

    code-act

    Official Repo for ICML 2024 paper

    code-act is a research framework for building intelligent language-model agents that interact with their environment through executable code actions. The system proposes a unified action representation where language models produce Python code that can be executed directly, allowing the model to interact with external tools and environments in a structured way. By integrating a Python interpreter with the agent architecture, the system enables the agent to execute code, observe the results, and iteratively refine its actions through multiple reasoning steps. ...
    Downloads: 0 This Week
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