Search Results for "github-copilot"
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Showing 264 open source projects for "github-copilot"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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GitHub Copilot CLI
GitHub Copilot CLI brings the power of Copilot coding agent
GitHub Copilot CLI is a command-line interface tool. It brings AI-powered coding assistance directly into your terminal. GitHub Copilot CLI allows you to build, debug, refactor, and understand code via natural language conversations. You can have these conversations within the Active Directory. It integrates tightly with your GitHub context—repositories, issues, pull requests. -
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GitHub Copilot SDK
Multi-platform SDK for integrating GitHub Copilot Agent into apps
The GitHub Copilot SDK is a developer toolkit that enables creators to build custom AI-assisted experiences powered by Copilot models within their own applications, editors, and workflows. Instead of being limited to editors like VS Code, this SDK lets teams embed Copilot-style code suggestions, natural language assistance, and predictive completions anywhere they see fit—such as internal IDEs, browser extensions, documentation portals, or bespoke tools tailored to specific languages or frameworks. ... -
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Copilot for Obsidian
AI assistant plugin that brings chat, search, and agents to Obsidian
Obsidian Copilot is an open source plugin that integrates AI-powered assistance directly into the Obsidian note-taking environment. It enables users to interact with their notes through conversational chat, allowing them to ask questions, summarize information, and generate new content using large language models. It works inside a user’s vault and can analyze notes, documents, and other referenced materials to provide context-aware responses. -
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Lean Copilot
LLMs as Copilots for Theorem Proving in Lean
LeanCopilot integrates large language models (LLMs) as copilots for theorem proving in the Lean proof assistant. It assists users by suggesting tactics, premises, and searching for proofs, thereby enhancing the efficiency of formal verification processes. LeanCopilot supports both built-in models from LeanDojo and custom models, offering flexibility for various use cases. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Copilot.vim
GitHub Copilot for Vim and Neovim
Copilot.vim is a plugin that integrates GitHub Copilot — the AI code completion tool from GitHub — with Vim and Neovim. It effectively brings inline AI-powered code suggestions into the editor: you type a comment or a function name (or simply start coding) and Copilot proposes completions which you can accept (often via Tab) or reject. The plugin supports a variety of languages and code contexts, just as Copilot itself does, and aims to make the interaction feel native in Vim. ... -
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ComfyUI-Copilot
AI assistant for ComfyUI workflow generation, debugging, and tuning
ComfyUI-Copilot is an AI-powered assistant designed to extend the capabilities of ComfyUI by simplifying and automating complex workflow development tasks. It functions as a custom node integrated directly into the ComfyUI environment, allowing users to interact with workflows through natural language and intelligent suggestions. ComfyUI-Copilot focuses on reducing the complexity of building node-based pipelines for generative AI tasks such as image generation, making it more accessible to both beginners and experienced users. ... -
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Microsoft Work IQ
MCP Server and CLI for accessing Work IQ
Work IQ is Microsoft’s plugin marketplace and MCP server collection for connecting GitHub Copilot CLI and AI assistants to Microsoft 365 work data. It provides plugins, skills, tools, and MCP servers that let users query emails, meetings, documents, Teams messages, and productivity context through natural language. The repository includes a public-preview marketplace workflow for installing Work IQ plugins into Copilot CLI. -
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GitHub Agentic Workflows
GitHub Agentic Workflows
GitHub Agentic Workflows is an experimental CLI extension and framework for the gh GitHub CLI that lets developers author automation driven by natural language specifications instead of hand-written code, compiling those descriptions into GitHub Actions workflows that run AI agents (like Copilot, Claude Code, or Codex) on schedule or in response to repository events. -
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Windows Copilot API
Reverse engineered Windows Copilot into an OpenAI-compatible API
Windows Copilot API is an unofficial Python project that exposes the consumer Microsoft Copilot web experience through a programmable interface. It can be used directly as a Python library or launched as a local server compatible with the OpenAI API format. The client supports streamed responses, multi-turn conversations, and conversation identifiers. -
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GitHub MCP Server
GitHub's official MCP Server
The GitHub MCP Server exposes GitHub as a Model Context Protocol server so AI assistants can safely act on repos, issues, pull requests, gists, and more through a consistent tool interface. It’s designed to run locally or remotely and then be attached to MCP-capable clients (for example, Copilot Chat) so an LLM can search code, open files, create branches, draft PRs, label or triage issues, and query metadata without hard-coding GitHub APIs. -
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CC Workflow Studio
Accelerate Claude Code/GitHub Copilot
CC Workflow Studio is a powerful Visual Studio Code extension that accelerates AI-assisted development by providing a visual workflow editor tailored for AI automation and agent orchestration, particularly with tools like Claude Code, GitHub Copilot, OpenAI Codex, and others. The extension lets developers and creators design complex AI workflows using intuitive drag-and-drop canvases or via conversational AI commands, blending graphical editing with natural language refinement. Workflows can include conditional branching, sub-agent orchestration, and exported output formats that are ready to run in native agent runtimes or as skill definitions, making it seamless to iterate from design to execution. ... -
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swark.io
Create architecture diagrams from code automatically using LLMs
...Instead of relying on manually maintained diagrams that often become outdated, Swark uses AI to infer architecture patterns dynamically from the code itself. The tool integrates with GitHub Copilot and the VS Code environment, allowing developers to generate diagrams with minimal setup and without requiring additional authentication or API configuration. Because the logic of understanding code structure is handled by an LLM, Swark can support many programming languages and frameworks without requiring custom rules for each language. -
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Telegram for GitHub Actions
GitHub Action that sends a Telegram message.
GitHub Action for sending a Telegram notification message. -
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CopilotKit
Build in-app AI chatbots, and AI-powered Text areas
A bridge between your copilot and your app. A programmable 2-way bridge between your copilot, and your application state (client & cloud). Supports 3rd party integrations (e.g. Salesforce, Zendesk, etc.). Plug-and-play, fully customizable, copilot infrastructure. Build in-app AI chatbots that can "see" the current app state + take action inside your app. The AI chatbot can talk to your app frontend & backend, and to 3rd party services (Salesforce, Dropbox, etc.) via plugins. ... -
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Microsoft Learn MCP Server
Official Microsoft Learn MCP Server, powering LLMs and AI agents
Microsoft Learn MCP Server is the official GitHub repository for the Microsoft Learn MCP (Model Context Protocol) Server, a service that implements the Model Context Protocol to provide AI assistants and tools with reliable, real-time access to Microsoft’s official documentation. Rather than relying on training data that may be outdated or incomplete, MCP servers let agents like GitHub Copilot, Claude, or other LLM-based tools search and pull context directly from up-to-date Microsoft Learn content, including Azure, .NET, and other tech docs. ... -
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AI Engineer Coach
Better agentic engineering
AI Engineering Coach is a Microsoft VS Code extension for analyzing AI coding assistant usage across local session logs. It is designed to help developers improve how they work with tools such as VS Code, Claude, Codex, OpenCode, GitHub Copilot for Xcode, and Copilot CLI. The extension reads local logs and turns them into dashboards, practice scores, trends, anti-pattern detection, and actionable feedback. It focuses on agentic engineering habits such as prompt quality, context management, review discipline, tool use, and session hygiene. The project is read-only and emphasizes that data stays on the user’s machine. ... -
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ProxyPal
A desktop app that lets you use your AI subscriptions
ProxyPal is a desktop application that lets developers unify and manage multiple AI model subscriptions (such as Claude, ChatGPT, Gemini, and GitHub Copilot) with any coding tool by acting as a local proxy and connection manager. By wrapping a CLI-based proxy API with an intuitive graphical interface, ProxyPal bridges your paid AI services into environments that don’t natively support them, allowing tools like text editors, terminals, and IDE plugins to route requests through a centralized proxy endpoint. ... -
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ProxyAI
The leading open-source AI copilot for JetBrains
ProxyAI is an open-source AI-powered coding assistant designed primarily for JetBrains IDEs, offering a highly customizable alternative to tools like GitHub Copilot while maintaining flexibility across multiple AI providers and deployment environments. It allows developers to connect to a wide range of language models, including cloud-based services and locally hosted models, enabling both online and fully offline workflows depending on user preferences. The platform emphasizes deep integration with the developer’s environment, providing context-aware assistance by referencing files, folders, Git history, and even external documentation during interactions. ... -
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n-skills
Curated plugin marketplace for AI agents
...The repository includes a universal AGENTS.md discovery file and a shared SKILL.md format so that once a skill is published, it can be recognized and used by Claude Code, GitHub Copilot, Codex, Cursor, and other AI coding assistants with minimal friction. Installation of skills is supported through native installers or via universal installers like openskills, enabling seamless adoption in diverse development environments. -
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HOL Guard
Open-source antivirus for AI agents
...The platform also examines plugins, skills, hooks, package installs, and agent configurations before they are trusted. It integrates with major coding agents including Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and GitHub Copilot CLI. Local operation requires no cloud account, while optional cloud services add synchronized evidence, shared policies, fleet visibility, and team approvals. -
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CodeCompanion
AI-powered coding, seamlessly in Neovim. Supports Anthropic, etc.
Currently supports Anthropic, Copilot, Gemini, Ollama and OpenAI adapters. -
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Junie
An AI coding agent by JetBrains that ships code from your terminal
...Junie is LLM-agnostic, meaning it can work with different model providers, including JetBrains authentication, Junie API keys, or bring-your-own-key options. The tool integrates with real-world development workflows and can assist across local projects, repositories, and automated GitHub processes. Developers can use Junie through multiple release channels, including stable, EAP, nightly, and experimental builds. Its focus on practical coding automation makes it a useful assistant for speeding up software development while fitting into existing tools and workflows. -
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Spec Kit
Toolkit to help you get started with Spec-Driven Development
...By emphasizing intent before code, Spec Kit reduces ambiguity and improves the reliability of AI-generated output. It integrates with popular AI coding tools such as GitHub Copilot and similar assistants, allowing developers to embed spec-driven practices directly into their existing workflows. Overall, the project aims to improve collaboration between humans and AI by making software development more predictable, traceable, and maintainable. -
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Void Editor
Open source AI IDE and Cursor alternative
Void is an open-source, AI-powered code editor built as a fork of Visual Studio Code. Designed as a fully transparent and privacy-focused alternative to Cursor or GitHub Copilot, it lets you use AI models locally or via APIs (OpenAI, Claude, Gemini, Ollama, etc.)—without routing data through proprietary servers. Developed by YC-backed startup Glass Devtools, it supports traditional coding features inherited from VS Code, enhanced with in-editor LLM capabilities—autocomplete, inline quick edits, and chat agents, all while giving developers total prompt and data control. -
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AI-DLC
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI
...Rather than focusing on a single model or IDE, the framework provides reusable rules, templates, and orchestration patterns compatible with tools such as Amazon Q Developer, Claude Code, Cursor, GitHub Copilot, and Cline. The repository emphasizes reproducible development processes, workflow portability, and AI-guided engineering discipline across different environments. It also explores specification-driven development and layered workflow architectures that standardize how AI systems interact with software projects.
