30 open-source projects similar to rksm/org-ai, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
ChatGPT.nvim is an OpenAI LLM Neovim plugin that serves as an AI-powered code assistant for refactoring, completing, and fixing code snippets. It functions as a custom prompt automation tool and a markdown renderer, allowing users to interact with language models directly within the editor. The project distinguishes itself through a framework for defining reusable AI personas and automated text processing tasks using system prompts and templates. It includes a specialized rendering system that transforms responses into styled markdown with foldable code blocks. The plugin covers interactive
ChatGPT directly within Google Docs as an Editor Add-on 📑
This project is an AI assistant for Visual Studio Code that utilizes a large language model to generate code and answer programming queries. It functions as a code generator and assistant, enabling the insertion of AI-generated snippets directly into active source files and providing a conversational interface via a side panel chat. The extension facilitates structural refactoring, optimization, and debugging of selected code blocks through natural language prompts. It also generates natural language explanations and technical documentation for complex code segments without requiring the user
Costrict is an AI software engineering agent and coding assistant designed for enterprise-grade development. It functions as a multi-model AI orchestrator that generates, completes, and reviews code, while serving as a remote development environment that bridges browser interfaces with remote directories for file management and terminal execution. The platform distinguishes itself through an AI code review system that utilizes multi-model verification and repository indexing to ensure code quality. It employs a structured agent approach that decomposes complex natural language requirements in
You'll need to run WhatsApp from a phone number using the golang library I'm using. You'll run a dedicated browser in another window that's controlling ChatGPT. Two terminals: go run main.go, and python server.py. I am extremely doubtful they will work for you on the first run. You can also try…
This project is a plugin that supports ChatGPT running on JetBrains series IDE.
A simple plugin that allows running mypy from PyCharm and navigate between errors
Allows run flake8 on code snippets in docstrings or RST files.
ChatGPT Telegram Bot running in AWS Lambda
A library for development of single-page full-stack web applications in clj/cljs
An unofficial Visual Studio Code - OpenAI ChatGPT integration
Pandas AI is a data analysis library and natural language interface that uses large language models to perform conversational querying on structured datasets. It functions as a retrieval-augmented generation framework designed to translate plain text questions into executable code for extracting insights from dataframes and structured files. The system includes a dedicated sandbox execution environment that runs AI-generated analysis code within an isolated container to prevent security risks and system compromise. It employs a natural language translation layer and contextual retrieval to ma
Vim plugin for executing Python's optional static type checker MyPy
Seamlessly integrate LLMs into scikit-learn.
Lints Python code blocks in Markdown files using flake8
gptel is an LLM Emacs client and multi-backend AI integration system that allows users to interact with large language models directly inside the Emacs text editor. It serves as an AI-powered text refactoring tool and a context-aware prompt manager, providing a unified interface to connect with various AI providers, including local Ollama instances, AWS Bedrock, and Gemini. The project distinguishes itself as a Model Context Protocol client, connecting to MCP servers to provide language models with external tools and data sources. It enables context-augmented prompting by aggregating text fro
AICommand is an LLM-powered editor controller and automation tool designed for the Unity Editor. It integrates large language models to translate natural language prompts into executable commands, allowing users to manipulate development environment settings and objects through text-based instructions. The system employs a text-to-action pipeline that uses LLM-based command mapping and reflection-based API discovery to resolve natural language input into specific editor functions. This process enables the execution of Unity editor functions by resolving string identifiers to code handles at r
This project is a cross-platform desktop application that wraps web-based interfaces into a standalone, native container. By utilizing a webview-based rendering engine, it allows users to access web services as local applications on Windows, macOS, and Linux without requiring a full browser installation. The application is built on a memory-safe backend that manages system-level tasks and facilitates secure communication between the web frontend and the native operating system. This architecture enables features such as system-tray integration for background execution and quick access, provid