Asistentes de programación con IA autohospedados

windsurf.vim is an AI-driven development tool for Vim and Neovim that integrates AI-powered code completion, a conversational coding assistant, and autonomous agent orchestration. It enables users to receive real-time code suggestions and perform complex refactoring via natural language instructions directly within the editor. The project provides a system for dispatching and monitoring multiple AI agents to execute engineering tasks across local and cloud environments. It includes context-aware project analysis by indexing the local codebase and supports shared workspace management to mainta

CopilotForXcode is an AI source editor extension for the Xcode development environment. It provides a suite of tools including a conversational chat interface, a code completion tool, and a natural language refactorer to assist with Apple platform development. The project differentiates itself by integrating project context and compiler errors directly into its AI interactions. It supports custom prompt execution using template variables and enables the triggering of shell scripts and system shortcuts directly from the chat interface to automate development tasks. The system manages AI integ

TabNine is an AI-powered code completion engine that runs a deep-learning model to generate real-time code suggestions across all programming languages. It operates as an editor plugin that communicates with a backend through a JSON message-passing interface, processing code entirely on the local machine or within a private cloud to keep source code secure and private. The system provides a completion request API that accepts cursor context and returns ranked text completions, with features for configuring completion regions, prefetching files for indexing, and managing binary versions and up

Tabby is a self-hosted AI coding assistant designed to provide real-time code completion and interactive chat capabilities within development environments. By functioning as a private server application, it allows teams to maintain control over their infrastructure and data while integrating intelligent code generation directly into their existing workflows. The platform distinguishes itself through its repository-aware knowledge retrieval and multi-model orchestration. It indexes local and remote source code repositories and technical documentation into a searchable vector-based knowledge gr

Fauxpilot is a self-hosted AI coding assistant and local inference server. It functions as a proxy and API gateway that redirects traffic from IDE plugins to a local large language model, allowing for AI-assisted programming without external cloud dependencies. The project provides a specialized API emulation layer that mimics coding assistant protocols and a standardized OpenAI-compatible interface. This enables supported code editors to use local models for completions and suggestions by overriding default proxy URLs. The system includes capabilities for downloading and deploying local mod

Dyad is a local, artificial intelligence-powered development environment designed to manage, edit, and scaffold full-stack software projects. It functions as an automated codebase manager and code editor that leverages language models to execute programming tasks, maintain project context, and apply targeted modifications directly to source files on a user's machine. The platform distinguishes itself through a model-agnostic architecture that allows for flexible integration with various language model runtimes. It provides specialized operational modes to optimize development speed and effici

This project is an AI-powered development workflow orchestrator that integrates autonomous coding agents directly into code editors. It functions as a framework for managing multi-agent systems, enabling developers to automate complex tasks such as code refactoring, inline completion, and multi-stage software development workflows. By utilizing a standardized communication protocol, it bridges the gap between local development environments and large language models. The system distinguishes itself through its focus on agent-based task orchestration and granular configuration. Users can define