Search Results for "directory"
Sort By:
Showing 13 open source projects for "directory"
View related business solutions-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
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.
-
1
Eris
A NodeJS Discord library
A Node.js wrapper for interfacing with Discord. You will need NodeJS 10.4+. If you need voice support you will also need Python 2.7 and a C++ compiler. Create a directory for your bot, and change to that directory in your command line. If you want to be more updated (at the expense of stability), you can install the beta builds instead. Eris supports a few optional libraries that could potentially improve bot performance but may require additional dependencies. If you want Eris to use any of these packages, install them in the same directory as Eris, and Eris will automatically use them. ... -
2
Ruler AI
Centralize and sync AI coding rules across tools and projects
Ruler is a CLI tool that centralizes instructions for AI coding assistants in one place. Instead of maintaining separate configuration files for tools like GitHub Copilot, Claude, or Cursor, it stores all rules in a single .ruler/ directory and distributes them automatically. This reduces duplication, avoids inconsistent outputs, and keeps guidance aligned as projects evolve. Ruler supports nested rule loading, allowing teams to define context-specific instructions for different parts of a codebase. It also manages MCP server settings, automates .gitignore updates, and provides simple commands to initialize, apply, and revert configurations. ... -
3
Gitingest
Create prompt-friendly codebase digests from any Git repository URL
...This makes it easier to provide meaningful code context when working with AI systems that require compact, readable inputs. Developers can generate these digests from either a local directory or a remote repository by supplying a repository path or URL. The generated output is optimized for prompt usage, helping AI models understand codebases more effectively without requiring manual file aggregation. In addition to producing the code digest, Gitingest also calculates statistics about the extracted content such as repository structure, total size of the extract, and token count. ... -
4
Claude Statusline
Minimal Claude Code statusline setup I personally use
Claude Statusline is a minimal status-line configuration for Claude Code that surfaces useful session and workspace information directly in the terminal. It is designed to show usage limits together with the current directory and Git branch information. Installation is handled through an npm command that copies the status-line script into the user’s Claude configuration directory. The installer automatically backs up an existing status line before replacing it. The setup relies on jq for JSON parsing, curl for retrieving rate-limit data, and Git for repository information. ... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
5
Desktop Commander MCP
AI-powered MCP server for desktop file and terminal automation
Desktop Commander MCP is an advanced Model Context Protocol server designed to extend AI assistants with direct control over a user’s local machine, including the file system and terminal. It integrates with clients like Claude Desktop to enable AI-driven workflows such as editing files, executing commands, and automating development tasks from a single conversational interface. Desktop Commander MCP builds on top of an MCP filesystem server and enhances it with powerful search, replace, and... -
6
Code2Prompt
Convert codebases into structured prompts optimized for LLM analysis
code2prompt is an open source command line tool designed to convert an entire codebase into a structured prompt that can be easily used with large language models. It analyzes a project directory, gathers relevant source files, and formats them into a single prompt that includes the source tree and code content. This approach helps developers quickly provide full project context to AI models without manually copying files or assembling prompts. code2prompt is built in Rust and focuses on performance, enabling fast traversal of large repositories while maintaining low resource usage. ... -
7
unlazy
Anti-laziness skill for AI agents. Core: the Depth Tree method
unlazy is an AI-agent skill designed to enforce disciplined completion and verification on substantial tasks. It requires agents to define acceptance gates before claiming that work is finished. Each gate can specify a command, expected result, working directory, and recorded evidence. A bundled checker validates the ledger, runs approved checks, and can reverify previously completed work. The workflow emphasizes reviewing returned work and reporting only conclusions supported by verifiable evidence. It can be installed for Claude Code, Codex CLI, and other skill-compatible agents, with additional templates and orchestration guidance for more complex tasks. -
8
Wardrobe
Your clothes, extracted and organized with gpt-image
...The web interface supports drag-and-drop, paste, editing, review, regeneration, and approval of generated results. Original images, processed assets, job data, and the JSON clothing library remain in a local data directory. Two bundled Codex skills automate clothing import and generate styled outfit collections from items already in the wardrobe. Users can run the workflow through Codex or the web interface. The project requires an OpenAI API key for AI processing and allows model and data locations to be configured. -
9
Marinara
Pomodoro® time management assistant for Chrome
...Support for Linux or Windows is welcome. Marinara uses the system ruby and makes tools to build releases. This will produce a packaged extension ready for uploading to the Chrome Web Store in the root directory of the project. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
10
TeleBot
The easy way to write Telegram bots in Node.js
...Events include keyboard, button, inlineKeyboard, inlineQueryKeyboard, inlineButton, answerList, getMe, sendMessage, deleteMessage, forwardMessage, sendPhoto, sendAudio, sendDocument, sendSticker, sendVideo, sendVideoNote, sendVoice, sendLocation, sendVenue, sendContact, sendChatAction, getUserProfilePhotos, getFile, kickChatMember, unbanChatMember, answerInlineQuery, answerCallbackQuery, answerShippingQuery, answerPreCheckoutQuery, editMessageText, editMessageMedia, editMessageCaption, editMessageReplyMarkup, setWebhook. You can add modifier to process data before passing it to event. Use usePlugins config option to load plugins from pluginFolder directory. A message can only be deleted if it was sent less than 48 hours ago. Any such sent outgoing message may be deleted. Additionally, if the bot is an administrator in a group chat, it can delete any message. -
11
Keras.js
Run Keras models in the browser, with GPU support using WebGL
...Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc. Check out the demos/ directory for real examples running Keras.js in VueJS. Library version compatibility, Keras 2.1.2. -
12
AlgoWiki
Repository which contains links and resources on different topics
AlgoWiki is an open educational repository that aggregates a large collection of curated resources covering many areas of computer science, programming, and algorithmic problem solving. The project functions as a structured knowledge index that links to tutorials, articles, courses, and research materials across numerous technical domains. Topics include algorithms, machine learning, artificial intelligence, programming languages, web development, and software engineering practices. The... -
13
ConvNetJS
Deep learning in Javascript to train convolutional neural networks
...The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. The compilation script simply concatenates files in src/ and then minifies the result.
- Previous
- You're on page 1
- Next
