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Model Integration and Serving · Awesome GitHub Repositories

13 repos

Awesome GitHub RepositoriesModel Integration and Serving

Explore 13 awesome GitHub repositories matching artificial intelligence & ml · Model Integration and Serving. Refine with filters or upvote what's useful.

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Awesome Model Integration and Serving GitHub Repositories

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  • ollama/ollama

    ollama/ollama

    162,972GitHubView on GitHub↗

    Ollama provides a framework for running and managing local machine learning models. It includes a command-line interface for model lifecycle management, such as creation, embedding generation, and configuration, alongside a stable API for programmatic interaction across multiple programming languages. The platform sup

    Godeepseekgemmagemma3
  • f/prompts.chat

    f/prompts.chat

    145,637GitHubView on GitHub↗

    Prompts.chat is a community-driven repository and management platform for AI prompts and agent skills. It provides a centralized interface for users to search, retrieve, and save prompts, while offering structured storage for multi-file agent skills that include documentation and supporting assets. The platform distin

    HTMLaiartificial-intelligenceawesome-list
  • langflow-ai/langflow

    langflow-ai/langflow

    144,903GitHubView on GitHub↗

    Langflow is a visual interface for building and orchestrating workflows, allowing users to construct complex systems through a drag-and-drop canvas. It provides tools for managing autonomous agents, configuring memory settings, and integrating custom code-based components. Users can organize their work into projects, t

    Pythonagentschatgptgenerative-ai
  • langchain-ai/langchain

    langchain-ai/langchain

    127,015GitHubView on GitHub↗

    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows t

    Pythonagentsaiai-agents
  • ChatGPTNextWeb/NextChat

    ChatGPTNextWeb/NextChat

    87,317GitHubView on GitHub↗

    NextChat is a self-hosted web application that provides a unified interface for interacting with multiple large language models. It functions as a conversational platform where users can manage and switch between diverse AI providers through configurable API backends, maintaining full control over their data and infras

    TypeScriptcalclaudechatgptclaude
  • microsoft/markitdown

    microsoft/markitdown

    87,305GitHubView on GitHub↗

    This project is an AI-powered document processing engine designed to transform diverse file formats into structured Markdown. By leveraging multimodal language models, it performs complex layout analysis and semantic text extraction, allowing for the conversion of both unstructured files and scanned images into machine

    Pythonautogenautogen-extensionlangchain
  • firecrawl/firecrawl

    firecrawl/firecrawl

    84,034GitHubView on GitHub↗

    Firecrawl is a web data extraction platform designed to convert unstructured web content into clean, LLM-ready formats like markdown or JSON. It functions as an autonomous web crawler and scraper, capable of mapping entire domains, performing recursive navigation, and executing complex data gathering tasks. By leveragi

    TypeScriptaiai-agentsai-crawler
  • punkpeye/awesome-mcp-servers

    punkpeye/awesome-mcp-servers

    81,101GitHubView on GitHub↗

    This project serves as a centralized directory and interoperability hub for the Model Context Protocol, providing a curated collection of standardized service connectors that bridge artificial intelligence models with external software, databases, and APIs. It facilitates the integration of AI agents with diverse ecosy

    aimcp
  • modelcontextprotocol/servers

    modelcontextprotocol/servers

    79,000GitHubView on GitHub↗

    The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service envir

    TypeScript
  • nomic-ai/gpt4all

    nomic-ai/gpt4all

    77,146GitHubView on GitHub↗

    GPT4All is a cross-platform runtime environment designed to execute large language models directly on local consumer hardware. By leveraging an optimized C++ inference backend, it enables private, offline AI interactions without requiring an internet connection or external cloud services. The project provides a compreh

    C++ai-chatllm-inference
  • zed-industries/zed

    zed-industries/zed

    75,634GitHubView on GitHub↗

    Zed is an AI-native, high-performance code editor designed for extreme responsiveness and keyboard-centric workflows. It functions as an extensible text processing workspace that integrates autonomous agents and predictive models directly into the development environment to automate complex engineering tasks, refactori

    Rustgpuirust-langtext-editor
  • infiniflow/ragflow

    infiniflow/ragflow

    73,425GitHubView on GitHub↗

    This project is a comprehensive retrieval-augmented generation platform designed for building, managing, and deploying knowledge-based AI applications. It provides a unified environment for organizing datasets, configuring conversational chat assistants, and developing autonomous agents that execute multi-step reasonin

    Pythonagentagenticagentic-ai
  • lobehub/lobehub

    lobehub/lobehub

    72,403GitHubView on GitHub↗

    LobeHub is a comprehensive multi-agent orchestration platform designed for building, configuring, and deploying specialized AI agents. It provides a unified chat-based gateway that allows users to manage autonomous agent teams across web, desktop, and mobile environments. By utilizing a framework that supports persiste

    TypeScriptagentagent-collaborationagent-harness

Explore sub-tags

  • AI Model Abstractions1 sub-tagSoftware layers that provide standardized interfaces for interacting with various large language models.
  • AI Model Management1 sub-tagSystems for organizing, configuring, and maintaining the lifecycle of AI models and agentic behaviors.
  • AI Model Orchestration2 sub-tagsMiddleware that manages interactions between multiple AI models, providers, and prompt security strategies.
AI Provider Integrations
Configuration interfaces for connecting to various external or local large language model providers.
  • AI Services2 sub-tagsManaged services and optimization utilities that enhance the functionality of external AI providers.
  • Local AI Model RuntimesPlatforms for executing and securing AI models directly on local hardware to improve performance and privacy.
  • Model Integration Interfaces5 sub-tagsStandardized protocols and interfaces that enable seamless communication between different machine learning components.
  • Model Orchestration1 sub-tagSystems that manage and route requests across multiple machine learning models to optimize task execution.