
pastemax
A simple tool to select files from a repository to copy/paste into an LLM
Stars: 276

PasteMax is a modern file viewer application designed for developers to easily navigate, search, and copy code from repositories. It provides features such as file tree navigation, token counting, search capabilities, selection management, sorting options, dark mode, binary file detection, and smart file exclusion. Built with Electron, React, and TypeScript, PasteMax is ideal for pasting code into ChatGPT or other language models. Users can download the application or build it from source, and customize file exclusions. Troubleshooting steps are provided for common issues, and contributions to the project are welcome under the MIT License.
README:
A modern file viewer application for developers to easily navigate, search, and copy code from repositories. Ideal for pasting into ChatGPT or your LLM of choice. Built with Electron, React, and TypeScript.
- File Tree Navigation: Browse directories and files with an expandable tree view
- Token Counting: View the approximate token count for each file (useful for LLM context limits)
- Search Capabilities: Quickly find files by name or content
- Selection Management: Select multiple files and copy their contents together
- Sorting Options: Sort files by name, size, or token count
- Dark Mode: Toggle between light and dark themes for comfortable viewing in any environment
- Binary File Detection: Automatic detection and exclusion of binary files
- Smart File Exclusion: Automatically excludes common files like package-lock.json, binary files, and more by default
Download the latest version from the releases page.
- Clone the repository:
git clone https://github.com/kleneway/pastemax.git
cd pastemax
- Install dependencies:
npm install
- Build the app:
npm run build-electron
npm run package
Note for Windows users: If you encounter issues with npm run package
, you can try the platform-specific command:
npm run package:win
After successful build, you'll find the executable files in the release-builds
directory:
-
PasteMax Setup 1.0.0.exe
- Installer version -
PasteMax 1.0.0.exe
- Portable version
- Node.js (v14 or higher)
- npm or yarn
- Clone the repository
- Install dependencies:
npm install
To run the application in development mode:
# Start the Vite dev server
npm run dev
# In a separate terminal, start Electron
npm run dev:electron
To build the application for production:
# Build the React app with Vite and update paths for Electron
npm run build-electron
# Create platform-specific distributables
npm run package
Platform-specific build commands:
- Windows:
npm run package:win
- macOS:
npm run package:mac
- Linux:
npm run package:linux
-
src/
- React application source code-
components/
- React components -
types/
- TypeScript type definitions -
styles/
- CSS styles
-
-
main.js
- Electron main process -
build.js
- Build script for production -
excluded-files.js
- Configuration for files to exclude by default -
docs/
- Documentation-
excluded-files.md
- Documentation for the file exclusion feature
-
- Electron - Desktop application framework
- React - UI library
- TypeScript - Type safety
- Vite - Build tool and development server
- tiktoken - Token counting for LLM context estimation
- ignore - .gitignore-style pattern matching for file exclusions
You can customize which files are excluded by default by editing the excluded-files.js
file. See the excluded files documentation for more details.
If you encounter this error when running the packaged application:
Error: Cannot find module 'ignore'
Require stack:
- /Applications/PasteMax.app/Contents/Resources/app.asar/main.js
This is caused by dependencies not being properly included in the package. To fix it:
-
Run the dependency fixer script:
node fix-dependencies.js
-
Rebuild the application:
npm run build-electron && npm run package
-
Install the new version
If you encounter issues with the standard npm run package
command:
-
Try using the platform-specific build command:
- Windows:
npm run package:win
- macOS:
npm run package:mac
- Linux:
npm run package:linux
- Windows:
-
Check the
release-builds
directory for output files after building
If you encounter other issues, please report them on GitHub.
MIT License - see the LICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add some amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for pastemax
Similar Open Source Tools

pastemax
PasteMax is a modern file viewer application designed for developers to easily navigate, search, and copy code from repositories. It provides features such as file tree navigation, token counting, search capabilities, selection management, sorting options, dark mode, binary file detection, and smart file exclusion. Built with Electron, React, and TypeScript, PasteMax is ideal for pasting code into ChatGPT or other language models. Users can download the application or build it from source, and customize file exclusions. Troubleshooting steps are provided for common issues, and contributions to the project are welcome under the MIT License.

company-research-agent
Agentic Company Researcher is a multi-agent tool that generates comprehensive company research reports by utilizing a pipeline of AI agents to gather, curate, and synthesize information from various sources. It features multi-source research, AI-powered content filtering, real-time progress streaming, dual model architecture, modern React frontend, and modular architecture. The tool follows an agentic framework with specialized research and processing nodes, leverages separate models for content generation, uses a content curation system for relevance scoring and document processing, and implements a real-time communication system via WebSocket connections. Users can set up the tool quickly using the provided setup script or manually, and it can also be deployed using Docker and Docker Compose. The application can be used for local development and deployed to various cloud platforms like AWS Elastic Beanstalk, Docker, Heroku, and Google Cloud Run.

web-ui
WebUI is a user-friendly tool built on Gradio that enhances website accessibility for AI agents. It supports various Large Language Models (LLMs) and allows custom browser integration for seamless interaction. The tool eliminates the need for re-login and authentication challenges, offering high-definition screen recording capabilities.

pentagi
PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies. It is designed for information security professionals, researchers, and enthusiasts who need a powerful and flexible solution for conducting penetration tests. The tool provides secure and isolated operations in a sandboxed Docker environment, fully autonomous AI-powered agent for penetration testing steps, a suite of 20+ professional security tools, smart memory system for storing research results, web intelligence for gathering information, integration with external search systems, team delegation system, comprehensive monitoring and reporting, modern interface, API integration, persistent storage, scalable architecture, self-hosted solution, flexible authentication, and quick deployment through Docker Compose.

BuildCLI
BuildCLI is a command-line interface (CLI) tool designed for managing and automating common tasks in Java project development. It simplifies the development process by allowing users to create, compile, manage dependencies, run projects, generate documentation, manage configuration profiles, dockerize projects, integrate CI/CD tools, and generate structured changelogs. The tool aims to enhance productivity and streamline Java project management by providing a range of functionalities accessible directly from the terminal.

well-architected-iac-analyzer
Well-Architected Infrastructure as Code (IaC) Analyzer is a project demonstrating how generative AI can evaluate infrastructure code for alignment with best practices. It features a modern web application allowing users to upload IaC documents, complete IaC projects, or architecture diagrams for assessment. The tool provides insights into infrastructure code alignment with AWS best practices, offers suggestions for improving cloud architecture designs, and can generate IaC templates from architecture diagrams. Users can analyze CloudFormation, Terraform, or AWS CDK templates, architecture diagrams in PNG or JPEG format, and complete IaC projects with supporting documents. Real-time analysis against Well-Architected best practices, integration with AWS Well-Architected Tool, and export of analysis results and recommendations are included.

dbt-llm-agent
dbt-llm-agent is an LLM-powered agent designed for interacting with dbt projects. It offers features such as question answering, documentation generation, agentic model interpretation, Postgres integration with pgvector, dbt model selection, question tracking, and upcoming Slack integration. The agent utilizes dbt project parsing, PostgreSQL with pgvector, model selection syntax, large language models like GPT-4, and question tracking to provide its functionalities. Users can set up the agent by checking Python version, cloning the repository, installing dependencies, setting up PostgreSQL with pgvector, configuring environment variables, and initializing the database schema. The agent can be initialized in Cloud Mode, Local Mode, or Source Code Mode to load project metadata. Once set up, users can work with model documentation, ask questions, provide feedback, list models, get detailed model information, and contribute to the project.

hound
Hound is a security audit automation pipeline for AI-assisted code review that mirrors how expert auditors think, learn, and collaborate. It features graph-driven analysis, sessionized audits, provider-agnostic models, belief system and hypotheses, precise code grounding, and adaptive planning. The system employs a senior/junior auditor pattern where the Scout actively navigates the codebase and annotates knowledge graphs while the Strategist handles high-level planning and vulnerability analysis. Hound is optimized for small-to-medium sized projects like smart contract applications and is language-agnostic.

action_mcp
Action MCP is a powerful tool for managing and automating your cloud infrastructure. It provides a user-friendly interface to easily create, update, and delete resources on popular cloud platforms. With Action MCP, you can streamline your deployment process, reduce manual errors, and improve overall efficiency. The tool supports various cloud providers and offers a wide range of features to meet your infrastructure management needs. Whether you are a developer, system administrator, or DevOps engineer, Action MCP can help you simplify and optimize your cloud operations.

backend.ai
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs. It allocates and isolates the underlying computing resources for multi-tenant computation sessions on-demand or in batches with customizable job schedulers with its own orchestrator. All its functions are exposed as REST/GraphQL/WebSocket APIs.

backend.ai-webui
Backend.AI Web UI is a user-friendly web and app interface designed to make AI accessible for end-users, DevOps, and SysAdmins. It provides features for session management, inference service management, pipeline management, storage management, node management, statistics, configurations, license checking, plugins, help & manuals, kernel management, user management, keypair management, manager settings, proxy mode support, service information, and integration with the Backend.AI Web Server. The tool supports various devices, offers a built-in websocket proxy feature, and allows for versatile usage across different platforms. Users can easily manage resources, run environment-supported apps, access a web-based terminal, use Visual Studio Code editor, manage experiments, set up autoscaling, manage pipelines, handle storage, monitor nodes, view statistics, configure settings, and more.

aigne-doc-smith
AIGNE DocSmith is a powerful AI-driven documentation generation tool that automates the creation of detailed, structured, and multi-language documentation directly from source code. It intelligently analyzes codebase to generate a comprehensive document structure, populates content with high-quality AI-powered generation, supports seamless translation into 12+ languages, integrates with AIGNE Hub for large language models, offers Discuss Kit publishing, automatically updates documentation with source code changes, and allows for individual document optimization.

RA.Aid
RA.Aid is an AI software development agent powered by `aider` and advanced reasoning models like `o1`. It combines `aider`'s code editing capabilities with LangChain's agent-based task execution framework to provide an intelligent assistant for research, planning, and implementation of multi-step development tasks. It handles complex programming tasks by breaking them down into manageable steps, running shell commands automatically, and leveraging expert reasoning models like OpenAI's o1. RA.Aid is designed for everyday software development, offering features such as multi-step task planning, automated command execution, and the ability to handle complex programming tasks beyond single-shot code edits.

comfyui-web-viewer
The ComfyUI Web Viewer by vrch.ai is a real-time AI-generated interactive art framework that integrates realtime streaming into ComfyUI workflows. It supports keyboard control nodes, OSC control nodes, sound input nodes, and more, accessible from any device with a web browser. It enables real-time interaction with AI-generated content, ideal for interactive visual projects and enhancing ComfyUI workflows with efficient content management and display.

cursor-talk-to-figma-mcp
This project implements a Model Context Protocol (MCP) integration between Cursor AI and Figma, allowing Cursor to communicate with Figma for reading designs and modifying them programmatically. It provides tools for interacting with Figma such as creating elements, modifying text content, styling, layout & organization, components & styles, export & advanced features, and connection management. The project structure includes a TypeScript MCP server for Figma integration, a Figma plugin for communicating with Cursor, and a WebSocket server for facilitating communication between the MCP server and Figma plugin.

xGitGuard
xGitGuard is an AI-based system developed by Comcast Cybersecurity Research and Development team to detect secrets (e.g., API tokens, usernames, passwords) exposed on GitHub repositories. It uses advanced Natural Language Processing to detect secrets at scale and with appropriate velocity. The tool provides workflows for detecting credentials and keys/tokens in both enterprise and public GitHub accounts. Users can set up search patterns, configure API access, run detections with or without ML filters, and train ML models for improved detection accuracy. xGitGuard also supports custom keyword scans for targeted organizations or repositories. The tool is licensed under Apache 2.0.
For similar tasks

airdcpp-webclient
AirDC++ Web Client is a locally installed application designed for flexible file sharing within groups over a local network or the internet. It utilizes the Advanced Direct Connect protocol to create file sharing communities with thousands of users. The application offers a responsive web user interface, allows sharing local directories, searching for shared files, saving files, chatting capabilities, browsing shared directories, extension support, and a web API for HTTP REST and WebSockets.

pastemax
PasteMax is a modern file viewer application designed for developers to easily navigate, search, and copy code from repositories. It provides features such as file tree navigation, token counting, search capabilities, selection management, sorting options, dark mode, binary file detection, and smart file exclusion. Built with Electron, React, and TypeScript, PasteMax is ideal for pasting code into ChatGPT or other language models. Users can download the application or build it from source, and customize file exclusions. Troubleshooting steps are provided for common issues, and contributions to the project are welcome under the MIT License.

PSAI
PSAI is a PowerShell module that empowers scripts with the intelligence of OpenAI, bridging the gap between PowerShell and AI. It enables seamless integration for tasks like file searches and data analysis, revolutionizing automation possibilities with just a few lines of code. The module supports the latest OpenAI API changes, offering features like improved file search, vector store objects, token usage control, message limits, tool choice parameter, custom conversation histories, and model configuration parameters.

nvim-aider
Nvim-aider is a plugin for Neovim that provides additional functionality and key mappings to enhance the user's editing experience. It offers features such as code navigation, quick access to commonly used commands, and improved text manipulation tools. With Nvim-aider, users can streamline their workflow and increase productivity while working with Neovim.

DesktopCommanderMCP
Desktop Commander MCP is a server that allows the Claude desktop app to execute long-running terminal commands on your computer and manage processes through Model Context Protocol (MCP). It is built on top of MCP Filesystem Server to provide additional search and replace file editing capabilities. The tool enables users to execute terminal commands with output streaming, manage processes, perform full filesystem operations, and edit code with surgical text replacements or full file rewrites. It also supports vscode-ripgrep based recursive code or text search in folders.

opencode.nvim
Opencode.nvim is a Neovim plugin that provides a simple and efficient way to browse, search, and open files in a project. It enhances the file navigation experience by offering features like fuzzy finding, file preview, and quick access to frequently used files. With Opencode.nvim, users can easily navigate through their project files, jump to specific locations, and manage their workflow more effectively. The plugin is designed to improve productivity and streamline the development process by simplifying file handling tasks within Neovim.
For similar jobs

kaito
Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

ai-on-gke
This repository contains assets related to AI/ML workloads on Google Kubernetes Engine (GKE). Run optimized AI/ML workloads with Google Kubernetes Engine (GKE) platform orchestration capabilities. A robust AI/ML platform considers the following layers: Infrastructure orchestration that support GPUs and TPUs for training and serving workloads at scale Flexible integration with distributed computing and data processing frameworks Support for multiple teams on the same infrastructure to maximize utilization of resources

tidb
TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

nvidia_gpu_exporter
Nvidia GPU exporter for prometheus, using `nvidia-smi` binary to gather metrics.

tracecat
Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

openinference
OpenInference is a set of conventions and plugins that complement OpenTelemetry to enable tracing of AI applications. It provides a way to capture and analyze the performance and behavior of AI models, including their interactions with other components of the application. OpenInference is designed to be language-agnostic and can be used with any OpenTelemetry-compatible backend. It includes a set of instrumentations for popular machine learning SDKs and frameworks, making it easy to add tracing to your AI applications.

BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

kong
Kong, or Kong API Gateway, is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI capabilities with multi-LLM support. By providing functionality for proxying, routing, load balancing, health checking, authentication (and more), Kong serves as the central layer for orchestrating microservices or conventional API traffic with ease. Kong runs natively on Kubernetes thanks to its official Kubernetes Ingress Controller.