Open Source AI Coding Tools - Page 5
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AI Coding Tools
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Outbound sales softwareAdversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Context Engineering Template
Context engineering is the new vibe coding
Context Engineering Template is a comprehensive template and workflow repository designed to teach and implement context engineering, a structured approach to preparing and organizing the information necessary for AI coding assistants to complete complex tasks reliably. Instead of relying solely on short prompts, this project encourages developers to create rich, structured context files that include project rules, examples, and validation criteria so that AI systems can act more like informed collaborators and less like general-purpose generators. The repository provides templates such as CLAUDE.md for defining global project rules, INITIAL.md for feature requests, and folders for examples, PRPs, validation scripts, and settings to support systematic prompt generation and execution with tools like Claude Code. By using this template, teams can ensure consistency across AI outputs, reduce errors that stem from contextual misunderstandings, and build reusable patterns. -
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DevOpsGPT
Multi agent system for AI-driven software development
Welcome to the AI Driven Software Development Automation Solution, abbreviated as DevOpsGPT. We combine LLM (Large Language Model) with DevOps tools to convert natural language requirements into working software. This innovative feature greatly improves development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery. The automated software development process significantly reduces delivery time, accelerating software deployment and iterations. By accurately understanding user requirements, DevOpsGPT minimizes the risk of communication errors and misunderstandings, enhancing collaboration efficiency between development and business teams. DevOpsGPT generates code and performs validation, ensuring the quality and reliability of the delivered software. -
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GitHub Copilot for Xcode
AI coding assistant for Xcode
Copilot for Xcode brings GitHub Copilot’s AI-driven code suggestions directly into Apple’s Xcode IDE, giving iOS and macOS developers predictive completions, context-aware recommendations, and natural language assistance while they write Swift, Objective-C, and related code. It embeds seamlessly into the Xcode editor UI, offering completions as you type, including full lines or blocks of code derived from surrounding context and doc comments. Because the integration understands the structure of Xcode-based projects and Apple’s frameworks, suggestions are often tailored to platform idioms, APIs, and patterns used in Cocoa, UIKit, SwiftUI, and more. It also supports natural language prompts, letting developers ask for example code or explanations inline without leaving the IDE. The extension is designed to respect privacy and project scope, giving users control over when Copilot suggestions are enabled and how telemetry is shared. -
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Kite
Primary Kite repo, private bits replaced with XXXXXXX
The main Kite repo (originally kiteco/kiteco) was intended for private use. It has been lightly adapted for publication here by replacing private information with XXXXXXX. As a result, many components here may not work out of the box. We used a variety of infrastructure, on a mix of cloud platforms, depending on what was most economical, though it was mostly on AWS. You should be able to develop, build, and test Kite entirely on your local machine. However, we do have cloud instances & VMs available for running larger jobs and for testing our cloud services. We bundle a lot of pre-computed datasets & machine learning models into the Kite app through the use of a custom filemap & encoding on top of go-bindata. The data, located in kite-go/client/datadeps, is kept in Git-LFS. -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Kodu
Kodu is an autonomous coding agent that lives in your IDE
Claude Coder is an open-source developer environment that integrates Anthropic’s Claude models directly into the coding workflow, functioning as a local or hosted AI pair programmer. It provides conversational and in-line code assistance, helping developers write, refactor, and debug code through context-aware interactions. The system runs through a local interface or within VS Code and other editors, maintaining privacy by keeping context on-device when possible. Claude Coder supports large-context interactions, enabling the AI to process entire repositories or multi-file structures rather than isolated snippets. It includes conversation history, diff previews, and code-generation templates for repetitive tasks. The project also focuses on openness—developers can extend it with plugins, API configurations, and custom model backends to use Anthropic’s Claude or other compatible LLM APIs. -
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Markdown Viewer Agent Skills
Opinionated skills for AI coding agents to create stunning diagrams
Markdown Viewer Agent Skills is a repository that provides a collection of modular AI “skills” designed to extend the capabilities of agents or tools that operate on markdown-based workflows. These skills are typically structured as self-contained instruction sets that define how an AI should perform specific tasks, such as formatting, analysis, or content transformation. The project emphasizes simplicity and composability, allowing developers to integrate these skills into existing systems without requiring complex infrastructure. Each skill is designed to be reusable and adaptable, making it easy to customize behavior for different use cases. The repository aligns with the broader concept of agent skills, where capabilities are encapsulated into modular units that can be dynamically loaded and executed. It supports workflows that rely heavily on markdown as a primary medium for content and communication. -
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MiniMax-M2
MiniMax-M2, a model built for Max coding & agentic workflows
MiniMax-M2 is an open-weight large language model designed specifically for high-end coding and agentic workflows while staying compact and efficient. It uses a Mixture-of-Experts (MoE) architecture with 230 billion total parameters but only 10 billion activated per token, giving it the behavior of a very large model at a fraction of the runtime cost. The model is tuned for end-to-end developer flows such as multi-file edits, compile–run–fix loops, and test-validated repairs across real repositories and diverse programming languages. It is also optimized for multi-step agent tasks, planning and executing long toolchains that span shell commands, browsers, retrieval systems, and code runners. Benchmarks show that it achieves highly competitive scores on a wide range of intelligence and agent benchmarks, including SWE-Bench variants, Terminal-Bench, BrowseComp, GAIA, and several long-context reasoning suites. -
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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. ProxyAI enhances productivity by enabling natural language-driven code editing, intelligent autocompletion, and automated generation of commit messages, all within the IDE interface. Its architecture supports extensibility and personalization, allowing users to tailor the assistant’s behavior through different personas. -
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Refact Agent
WebUI for Fine-Tuning and Self-hosting of Open-Source LLMs
Refact is an AI-powered code assistant designed to enhance software development workflows. It integrates with code editors and provides suggestions, refactoring assistance, and debugging insights. -
Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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Qwen2.5-Coder
Qwen2.5-Coder is the code version of Qwen2.5, the large language model
Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is ideal for a variety of use cases, from simple code assistants to complex programming scenarios, matching the capabilities of models like GPT-4o. -
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Archon
The knowledge and task management backbone for AI coding assistants
Archon is an open-source “command center” designed to enhance AI coding assistant workflows by giving developers a centralized environment for knowledge management, context engineering, and task coordination across AI agents. It acts as a backend (including an MCP server) that allows different AI coding tools and assistants to share the same structured context, knowledge base, and task lists, improving consistency, productivity, and collaboration across multi-agent interactions. Users can import documentation, project files, and external knowledge so that assistants like Claude Code, Cursor, or other LLM-powered tools work with up-to-date, project-specific context rather than relying on limited prompt memory. Archon’s UI and APIs are intended to streamline how developers interact with their agents, whether for exploratory coding, automated task execution, or integrated RAG workflows, helping reduce friction between manual coding tasks and AI-generated suggestions. -
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Claude Code Architecture Study
Research on Coding Agents
Claude Code Architecture Study is an educational and experimental repository designed to teach developers how to build, configure, and understand AI coding agents from first principles. The project focuses on breaking down the architecture of agentic systems, including how models perceive context, make decisions, and execute actions in a coding environment. It likely provides step-by-step examples, conceptual explanations, and practical implementations that guide users through creating their own agents. The framework emphasizes learning by doing, allowing users to experiment with agent behavior, prompt design, and workflow structuring. It also explores how agents interact with tools such as file systems, terminals, and APIs, giving a holistic view of real-world applications. The project is particularly valuable for developers transitioning from traditional programming to AI-assisted or autonomous development paradigms. -
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CodeGeeX2
CodeGeeX2: A More Powerful Multilingual Code Generation Model
CodeGeeX2 is the second-generation multilingual code generation model from ZhipuAI, built upon the ChatGLM2-6B architecture and trained on 600B code tokens. Compared to the first generation, it delivers a significant boost in programming ability across multiple languages, outperforming even larger models like StarCoder-15B in some benchmarks despite having only 6B parameters. The model excels at code generation, translation, summarization, debugging, and comment generation, and it supports over 100 programming languages. With improved inference efficiency, quantization options, and multi-query/flash attention, CodeGeeX2 achieves faster generation speeds and lightweight deployment, requiring as little as 6GB GPU memory at INT4 precision. Its backend powers the CodeGeeX IDE plugins for VS Code, JetBrains, and other editors, offering developers interactive AI assistance with features like infilling and cross-file completion. -
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CodiumAI Cover-Agent
CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation
CodiumAI Cover Agent aims to help efficiently increasing code coverage, by automatically generating qualified tests to enhance existing test suites. -
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Visual Studio Code client for Tabnine
Visual Studio Code client for Tabnine
This extension is for Tabnine’s Starter (free), Pro and Enterprise SaaS users only. Tabnine Enterprise users with the self-hosted setup should use the Tabnine Enterprise extension in the VSCode Marketplace. Tabnine is an AI code assistant that makes you a better developer. Tabnine will increase your development velocity with real-time code completions, chat, and code generation in all the most popular coding languages and IDEs. Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, content assist, unit test generation or documentation generation, using Tabnine can massively impact your coding velocity, significantly cutting down your coding time. -
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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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claurst
Your favorite Terminal Coding Agent, now in Rust
claurst is an experimental AI agent framework that appears to focus on structured reasoning and task execution within coding or automation environments. The project likely explores how agents can be designed to handle complex workflows through modular components and clearly defined execution steps. It may include abstractions for managing context, decision-making, and interaction with external tools, enabling agents to perform multi-step tasks efficiently. The architecture suggests a focus on flexibility, allowing developers to adapt the system to different use cases or domains. It is likely intended as a lightweight but extensible platform for experimenting with agent behavior and orchestration. The project may also emphasize simplicity, making it accessible for developers who want to prototype agent systems quickly. -
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windsurf.vim
Free, ultrafast Copilot alternative for Vim and Neovim
windsurf.vim is a plugin for Vim and Neovim by Exafunction (formerly part of the Codeium project) that brings in AI-driven code completion and assistance capabilities. The aim is to provide a “free, ultrafast” alternative to other AI code assistants (such as GitHub Copilot) directly within Vim/Neovim. Once installed and configured, windsurf.vim can suggest code completions, generate multi-line snippets based on comments or invitation in code, and make the editing experience more predictive and context-aware. The plugin supports major programming languages and allows you to trigger completions as you type—especially after comments or partial code constructs. Because it is designed to integrate with Vim’s editing model, it offers suggestions in-line and leverages virtual text or inline indicators when supported. Many developers using Neovim look to this plugin as a way to bring modern AI-powered code-assistance into their terminal-centric workflow. -
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ollama_manager_gui
A graphical manager for ollama that can manage your LLMs
This app will help install ollama and LLMs using the gui provided by this app. It checks for ollama when launched and if it doesn't exist it will help by bringing you to the ollama site for download. This app is heavily upgraded and now also works properly on Linux. It now has progress bars and many many many improvements. It can launch the LLM by clicking the link. it can launch multiple LLMs in separate windows. It can also remove an installed LLM. There is a confirmation dialog when removing or hard resetting an LLM. It can also install LLMs. Reset deletes all data for LLM of your choosing and automatically reinstalls that LLM of your choosing by redownloading. You can also install new LLMs by simply clicking the install button. warning... you can remove custom LLMs with this... Remember with great power comes greater responsibility! I hope this is of use to you, but it has no warranty it has a very nice improved dark mode as of version 1.2 aka 1 -
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PocketAI
A live linux system with preconfigured AI
Pocket AI is a beginner friendly Linux system with out of the box AI functionality. It has an Ollama instance running and several apps pre configured to use the Ollama endpoint locally. The included programs are Anythingllm, chatbox, code-oss (Open source build of VSCode), n8n, searxng and aichat-ng -
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Adaptive Intelligence
Adaptive Intelligence also known as "Artificial General Intelligence"
Adaptive Intelligence is the implementation of neural science, forensic psychology , behavioral science with machine-learning and artificial intelligence to provide advanced automated software platforms with the ability to adjust and thrive in dynamic environments by combining cognitive flexibility, emotional regulation, resilience, and practical problem-solving skills. -
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realwatermark
A Python application to add watermarks (text or image) to PDF files
A Python application to add watermarks (text or image) to PDF files, converts them into image and back to PDF with options for OCR and compression. -
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AWS Copilot CLI
The AWS Copilot CLI is a tool for developers to build, release apps
AWS Copilot is an open-source command-line interface that makes it easy for developers to build, release, and operate production-ready containerized applications on AWS App Runner, Amazon ECS, and AWS Fargate. Run a single command to quickly get started with a containerized application using best practices on AWS from a Dockerfile. Instead of modeling individual resources, Copilot provides common cloud architectures, request-driven web service, load-balanced web service, backend service, worker service, and scheduled job. The necessary infrastructure is generated from the chosen pattern. Focus your time on writing business logic instead of connecting AWS resources. No need to worry about gluing Copilot commands in a script to create an automated release process. Copilot provides commands to create multiple deployment environments in separate AWS accounts and regions, as well as creating an AWS CodePipeline pipeline to build your container images. -
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Agent Orchestrator
Agentic orchestrator for parallel coding agents
Agent Orchestrator from Composio is an open-source orchestration layer designed to manage fleets of parallel AI coding agents working on a shared codebase. It enables each agent to operate independently in isolated git worktrees, handling tasks like fixing CI failures, addressing code review comments, and creating pull requests. The platform automates the coordination of multiple agents, reducing the need for manual oversight in complex development workflows. It supports a wide range of agents, runtimes, and tools, making it flexible and framework-agnostic. Through a centralized dashboard, developers can monitor progress, review outputs, and intervene only when human judgment is required. Agent Orchestrator transforms AI-assisted development into a scalable, autonomous system for continuous code improvement.
