Showing 57 open source projects for "ai model"

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  • 1
    Envoy AI Gateway

    Envoy AI Gateway

    Manages Unified Access to Generative AI Services

    ...In a typical deployment, the architecture uses a two-tier gateway model where an outer gateway handles authentication, routing, and global rate limiting while a second gateway manages traffic to self-hosted model serving clusters. This design allows organizations to centralize control over AI service access while maintaining flexibility in how backend model infrastructure is deployed. The gateway provides policy enforcement, observability, and routing capabilities that are specifically designed for AI inference workloads, including intelligent endpoint selection and request optimization.
    Downloads: 7 This Week
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  • 2
    kubectl-ai

    kubectl-ai

    AI assistant for managing Kubernetes clusters from the terminal

    kubectl-ai is an AI-powered command-line assistant designed to help users manage and interact with Kubernetes clusters through natural language queries. It acts as an intelligent interface that interprets user intent and translates it into appropriate Kubernetes operations and commands. By integrating large language models, it enables users to ask questions or request actions in plain language instead of manually crafting complex Kubernetes commands. kubectl-ai runs directly in the terminal...
    Downloads: 17 This Week
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  • 3
    Klavis AI

    Klavis AI

    MCP integration platforms for AI agents to use tools at any scale

    Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more.
    Downloads: 2 This Week
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  • 4
    K8M

    K8M

    Mini Kubernetes AI Dashboard

    An AI-driven Mini Kubernetes Dashboard designed to simplify cluster management, offering a lightweight console tool with integrated large language model capabilities for enhanced operational efficiency. ​
    Downloads: 8 This Week
    Last Update:
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  • 5
    Wanwu AI Agent Platform

    Wanwu AI Agent Platform

    Enterprise AI agent platform for workflows, models, and RAG apps

    ...It includes comprehensive model lifecycle management capabilities, enabling users to configure, monitor, and manage different models efficiently. Wanwu also supports knowledge base construction, allowing organizations to incorporate structured and unstructured data into their AI applications. With a focus on openness and extensibility, it encourages developers to build on top of its ecosystem while maintaining a secure and compliant architecture for business use cases.
    Downloads: 11 This Week
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  • 6
    Crush

    Crush

    The glamourous AI CLI coding agent for your favourite terminal 💘

    Crush is a next-generation, terminal-based AI coding assistant developed by Charm, designed to seamlessly integrate with your tools, workflows, and preferred LLMs. It provides developers with an intuitive, session-based experience where multiple contexts can be managed across projects. With flexible model switching, Crush allows you to change providers mid-session while retaining conversation history.
    Downloads: 69 This Week
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  • 7
    Docker Agent

    Docker Agent

    AI Agent Builder and Runtime by Docker Engineering

    ...It is provider-agnostic, meaning it can integrate with multiple AI model providers such as OpenAI, Anthropic, and local inference engines, helping avoid vendor lock-in. cagent also supports the Model Context Protocol, enabling seamless integration with external tools, APIs, and services.
    Downloads: 14 This Week
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  • 8
    MCPHost

    MCPHost

    A CLI host application that enables Large Language Models (LLMs)

    mcphost is a command-line host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP). It provides a unified interface for engaging with various AI models and supports integration with multiple MCP servers, streamlining the development of AI-driven applications. ​
    Downloads: 15 This Week
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  • 9
    Telegram MCP

    Telegram MCP

    MCP server to work with Telegram through MTProto

    An MCP server that bridges the Telegram API and AI assistants, enabling seamless interaction between AI applications and Telegram through MTProto. ​
    Downloads: 9 This Week
    Last Update:
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  • 10
    LocalAI

    LocalAI

    The free, Open Source alternative to OpenAI, Claude and others

    LocalAI is an open-source platform that allows users to run large language models and other AI systems locally on their own hardware. It acts as a drop-in replacement for APIs such as OpenAI, enabling developers to build AI-powered applications without relying on external cloud services. The platform supports a wide range of model types, including text generation, image creation, speech processing, and embeddings. LocalAI can run on consumer-grade hardware and does not necessarily require a GPU, making it accessible for local development and private deployments. ...
    Downloads: 38 This Week
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  • 11
    Foxy Contexts

    Foxy Contexts

    Foxy contexts is a library for building context servers

    Foxy Contexts is a Golang library for building context servers that support the Model Context Protocol. It offers a declarative approach to defining tools, resources, and prompts, enabling developers to create robust context servers that enhance the capabilities of AI models. ​
    Downloads: 8 This Week
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  • 12
    AxonHub

    AxonHub

    Use any SDK to call 100+ LLMs

    AxonHub is an open-source AI gateway platform designed to simplify the process of integrating and switching between different large language model providers. The system acts as a compatibility layer that allows developers to use the same SDK interface while routing requests to various AI services behind the scenes. Instead of rewriting code when switching providers such as OpenAI or Anthropic, developers can simply change configuration settings within the gateway. ...
    Downloads: 10 This Week
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  • 13
    Terminal GPT

    Terminal GPT

    AI Chatbots in terminal without needing API keys

    tgpt is a cross-platform command-line interface (CLI) tool that allows you to use AI chatbot in your Terminal without requiring API keys.
    Downloads: 13 This Week
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  • 14
    hfapigo

    hfapigo

    Unofficial (Golang) Go bindings for the Hugging Face Inference API

    (Golang) Go bindings for the Hugging Face Inference API. Directly call any model available in the Model Hub. An API key is required for authorized access. To get one, create a Hugging Face profile.
    Downloads: 7 This Week
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  • 15
    csghub-server

    csghub-server

    csghub-server is the backend server for CSGHub

    ...It integrates capabilities similar to model repositories like Hugging Face while allowing enterprises to host and manage their AI assets internally for security and compliance purposes.
    Downloads: 5 This Week
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  • 16
    PicoClaw

    PicoClaw

    Ultra-Efficient AI Assistant in Go

    PicoClaw is an ultra-lightweight, open-source personal AI assistant written in Go, architected from the ground up to operate with extremely low memory usage (under 10 MB) and fast boot times, making it suitable for inexpensive hardware platforms and embedded devices. Inspired by earlier AI assistant projects like “nanobot,” it was refactored to emphasize resource efficiency while still supporting meaningful AI-driven interactions such as conversational workflows, planning tasks, and...
    Downloads: 115 This Week
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  • 17
    Last9 MCP Server

    Last9 MCP Server

    Last9 MCP Server

    The Last9 MCP Server is a Model Context Protocol server implementation for Last9, enabling AI agents to seamlessly bring real-time production context—logs, metrics, and traces—into local environments to auto-fix code faster. ​
    Downloads: 10 This Week
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  • 18
    MCP K8s Go

    MCP K8s Go

    MCP server connecting to Kubernetes

    A Golang-based MCP server that connects AI assistants to Kubernetes clusters, enabling efficient management and operation of Kubernetes resources through natural language commands. ​
    Downloads: 15 This Week
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  • 19
    Kubernetes MCP Server

    Kubernetes MCP Server

    Model Context Protocol (MCP) server for Kubernetes and OpenShift

    A powerful and flexible Model Context Protocol (MCP) server implementation designed for seamless integration with Kubernetes and OpenShift environments, enabling enhanced interaction and management capabilities for AI assistants. ​
    Downloads: 7 This Week
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  • 20
    NOFX

    NOFX

    Open source AI trading OS for autonomous multi-model trading systems

    NOFX is an open source AI-powered trading operating system designed to automate financial trading workflows using autonomous AI agents. It acts as an infrastructure layer that transforms market data into AI-driven trade decisions and execution. Instead of requiring users to manually configure machine learning models, data sources, and API integrations, the system allows AI components to perceive market conditions, select models, and perform trading actions automatically. It supports running...
    Downloads: 4 This Week
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  • 21
    Astron Agent

    Astron Agent

    Enterprise platform for building and orchestrating AI agent workflows

    Astron Agent is an enterprise-grade platform designed for building and managing intelligent AI agent workflows in production environments. It provides a development environment that combines workflow orchestration, model management, and integration with various AI tools and services. Astron Agent enables organizations to design complex agent-driven processes that coordinate models, automation tools, and enterprise systems. It also integrates robotic process automation capabilities so agents can execute tasks across digital systems instead of only generating responses. ...
    Downloads: 5 This Week
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  • 22
    kagent

    kagent

    Kubernetes native framework for building AI agents

    ...It supports multiple model providers through a dedicated configuration resource, allowing teams to switch providers or run mixed environments while keeping the agent spec stable. A major focus is tool integration via MCP: agents can connect to MCP servers for tool access, and kagent includes an MCP server with tools for common Kubernetes and platform engineering systems.
    Downloads: 2 This Week
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  • 23
    Slack MCP Server

    Slack MCP Server

    The most powerful MCP Slack Server with no permission requirements

    Slack MCP Server is an open-source server implementation that connects Slack workspaces to AI systems through the Model Context Protocol (MCP). MCP is a standardized protocol that allows large language models and AI agents to securely interact with external tools and data sources such as messaging platforms, databases, or file systems. The slack-mcp-server acts as an intermediary layer that exposes Slack data and messaging functionality to AI clients while enforcing access rules and communication standards. ...
    Downloads: 5 This Week
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  • 24
    Casibase

    Casibase

    Open-source enterprise-level AI knowledge base and MCP

    Casibase is an open-source AI cloud platform designed to function as an enterprise knowledge base, container management system, and collaboration environment for AI-driven applications. The project combines knowledge management, messaging, and forum features with large language model integration to create an interactive platform for storing and querying domain-specific knowledge.
    Downloads: 12 This Week
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  • 25
    MCPJungle

    MCPJungle

    Self-hosted MCP Gateway and Registry for AI agents

    MCPJungle is a self-hosted gateway and registry for the Model Context Protocol (MCP), aimed at managing tool/integration servers for AI agents within organizations. It offers a “single source of truth” registry where developers can register MCP servers and the tools they provide, and MCP clients (such as AI agents) discover and consume those tools through one gateway endpoint. This greatly simplifies the architecture when you have many MCP servers; agents only need to connect to one gateway rather than multiple endpoints. ...
    Downloads: 13 This Week
    Last Update:
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