Open Source Linux AI Coding Agents
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AI Coding Agents for Linux
View 82 business solutionsBrowse free open source AI Coding Agents and projects for Linux below. Use the toggles on the left to filter open source AI Coding Agents by OS, license, language, programming language, and project status.
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Codex Mobile
Run Codex Mobile Anywhere: Linux, Windows, or Termux on Android
Codex Mobile is a lightweight bridge that exposes Codex app-server workflows through a browser-accessible interface. It is designed to let users run a Codex-style UI on Linux, Windows, or Termux-powered Android setups. The project starts a local web server with one command, then lets the user open the interface from the same machine, a LAN device, or another reachable connection. It can also create a Cloudflare tunnel by default, making remote access easier when the local setup allows it. Codex Mobile is useful for developers who want to control coding-agent sessions from a phone, tablet, remote browser, or nonstandard environment. Its main value is making Codex app workflows more portable, accessible, and usable beyond a traditional desktop terminal. -
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OpenCode
The open source coding agent
OpenCode is an open-source AI coding agent designed to assist developers directly from the terminal, desktop, or IDE environments. It functions as a locally running assistant that can analyze codebases, execute development tasks, and interact with external tools while remaining highly configurable. The system is built around an agent model that can perform actions such as file manipulation, shell execution, and web access with user confirmation. Its provider-agnostic design allows developers to connect different large language model services rather than being locked into a single vendor. OpenCode aims to streamline everyday development workflows by combining automation with human oversight in a developer-first interface. Because it runs locally and exposes powerful capabilities, the project is particularly attractive for engineers who want deep control over AI-assisted coding pipelines. -
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Claude Code
Claude Code is an agentic coding tool that lives in your terminal
Claude Code is an intelligent agentic coding assistant that lives in your terminal and understands your entire codebase. It helps developers code faster by executing routine tasks, explaining complex code snippets, and managing git workflows—all via natural language commands. Claude Code integrates seamlessly into your terminal, IDE, or GitHub by tagging @claude to interact with your code context. The tool is designed to simplify development by automating repetitive work and providing instant clarifications on code behavior. User feedback and usage data are collected responsibly, with strict privacy safeguards and limited retention, ensuring no feedback is used to train generative models. Claude Code is open and actively maintained with community-driven bug reporting and feature requests. Its natural language interface makes advanced coding workflows accessible without leaving your coding environment. -
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OpenAI Codex CLI
Lightweight coding agent that runs in your terminal
OpenAI Codex CLI is a lightweight, open-source coding assistant that runs directly in your terminal, designed to bring ChatGPT-level reasoning to your code workflows. It allows developers to interactively query, edit, and generate code within their repositories, all while maintaining version control. The CLI can scaffold new files, run code in sandboxed environments, install dependencies, and commit changes automatically, streamlining chat-driven development. It supports various approval modes—from suggestion-only to full automation—ensuring safe and controlled code execution. Codex CLI can also handle multimodal inputs like screenshots and diagrams to implement features intelligently. The tool includes built-in sandboxing & security measures, such as network restrictions and directory confinement, to protect your system during code execution. With extensive configuration options, including multiple AI providers and custom guidance files, it fits seamlessly into developer environments. -
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omp (Oh My Pi)
AI Coding agent for the terminal
omp (Oh-My-Pi) is an open-source AI agent toolkit focused on creating intelligent coding assistants that operate directly from the terminal environment. The project provides a command-line coding agent capable of analyzing repositories, generating commits, editing code, and interacting with development tools through an integrated tool system. Instead of functioning as a simple prompt-based assistant, the system includes an agent architecture that can inspect Git repositories, analyze changes, and perform development actions with fine-grained control. The platform also supports tool-based workflows where the agent can run shell commands, read files, modify code, and stage changes during development tasks. It includes infrastructure for integrating different AI providers and models through a unified API layer, allowing developers to switch between models while keeping the same agent interface. -
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Cline
Autonomous coding agent right in your IDE
Cline is a command-line application building library for Node.js that helps developers easily create interactive CLI applications. Built on Node's readline module, it offers features like history support, auto-completion, and input masking. Cline allows you to define custom commands with argument placeholders, making it versatile for various command structures. Additionally, it supports modes, where different command sets can be dynamically loaded depending on the application's state. -
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Qwen Code
Qwen Code is a coding agent that lives in the digital world
Qwen Code is a command-line AI workflow tool designed to enhance developer productivity by leveraging the power of Qwen3-Coder models. Adapted from the Google Gemini CLI, it features an enhanced parser optimized specifically for Qwen-Coder models, enabling deep code understanding and manipulation. The tool supports querying and editing large codebases beyond traditional context limits, making it ideal for modern, complex projects. Qwen Code automates various development workflows, including handling pull requests and performing complex git rebases. It runs on Node.js (version 20 or higher) and can be installed globally via npm or from source. Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. With Qwen Code, developers can explore codebases, refactor and optimize code, generate documentation, and automate repetitive tasks directly from the terminal. -
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Bolt.new
Prompt, run, edit, and deploy full-stack web applications
Bolt.new is an AI-powered full-stack development platform created by StackBlitz that enables users to build, run, edit, and deploy complete web applications directly from the browser without requiring any local setup or traditional development environment. It operates as an intelligent coding agent where users describe what they want to build in natural language, and the system generates functional applications, including frontend, backend, and infrastructure components. The platform is built on StackBlitz’s WebContainers technology, which allows Node.js environments to run entirely in the browser, eliminating the need for installations while maintaining real development capabilities. Bolt.new is designed to significantly lower the barrier to entry for software creation, making it accessible not only to developers but also to product managers, designers, and non-technical users who want to quickly prototype or launch applications. -
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GitHub Copilot CLI
GitHub Copilot CLI brings the power of Copilot coding agent
GitHub Copilot CLI is a command-line interface tool. It brings AI-powered coding assistance directly into your terminal. GitHub Copilot CLI allows you to build, debug, refactor, and understand code via natural language conversations. You can have these conversations within the Active Directory. It integrates tightly with your GitHub context—repositories, issues, pull requests. The Copilot can leverage repository context when making suggestions. The tool is currently in public preview and is evolving. Preview proposed changes before committing or applying them. Extensibility via MCP (Modular Copilot Platform) servers or custom servers. -
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.
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Grok CLI
An open-source AI agent that brings the power of Grok
Grok CLI is a command-line interface built around the Grok AI model that brings programmatic and conversational AI capabilities directly to developer terminals. It lets you run Grok queries from your shell, scripting environment, or automation workflows without switching to a browser, enabling utility in scripting, quick data exploration, code generation, and assistant-guided tasks directly where you write code. The CLI supports streaming responses, so outputs appear in real time as the Grok model generates them, making interactions feel responsive and fluid in terminal contexts. Grok CLI is designed to integrate with existing terminal habits—aliases, pipes, editors, and tooling—so you can combine AI assistance with native command-line workflows like grep, awk, and git. It also includes authentication support, configuration management, and caching options so frequent queries are efficient. -
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Freebuff
The free coding agent
Freebuff is a suite of free AI tools for coding, application building, and research across desktop, terminal, browser, cloud, and chat interfaces. Its coding agents can inspect a project, locate relevant files, edit code, run commands, and review their own work. Specialized agents divide tasks such as context gathering, implementation, research, and validation. The desktop app can run multiple agents in isolated local workspaces. Web and cloud editions provide hosted sandboxes, previews, terminals, and deployment workflows. The platform also offers a curated model catalog and can connect locally installed coding agents in supported environments. -
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Antigravity CLI
The CLI understands codebases, makes edits and executes commands
Antigravity CLI is Google’s command-line AI coding agent for working with a codebase directly from the terminal. It can understand project context, make code edits with user permission, and execute commands as part of an agent-assisted development workflow. The tool is positioned as part of Google Antigravity’s newer agent-first platform and succeeds key Gemini CLI workflows while adding a more robust foundation for complex coding tasks. It supports important agent capabilities such as Agent Skills, Hooks, Subagents, and Antigravity plugins. Antigravity CLI is useful for developers who want AI assistance without leaving the command line, especially for code exploration, scaffolding, refactoring, debugging, and project automation. It is best understood as a terminal-native coding assistant built for controlled, permission-based agent work. -
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jcode
Coding Agent Harness
jcode is a lightweight developer tool designed to streamline Java coding workflows by simplifying compilation, execution, and testing processes. It provides a structured interface for managing Java programs without requiring complex IDE setups, making it ideal for quick experimentation and learning. The tool focuses on reducing friction for developers who want to run code snippets or small projects efficiently. It supports automation of repetitive tasks such as compiling and executing Java files in a consistent environment. JCode is especially useful for beginners or developers working in minimal setups where full IDEs are unnecessary. Its design emphasizes speed, simplicity, and ease of integration into command-line workflows. Overall, it serves as a productivity enhancer for Java development in lightweight environments. -
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DeepSeek-Reasonix
DeepSeek-native AI coding agent for your terminal
DeepSeek Reasonix is a DeepSeek-native AI coding agent designed for terminal-based software development. It is built around prefix-cache stability, which helps reduce token costs during long sessions and allows users to leave the agent running across extended workflows. Reasonix includes a coding mode with filesystem and shell tools, a lighter chat mode, one-shot task execution, health checks, session utilities, and project-scoped memory. It supports reviewed SEARCH/REPLACE edits, plan mode, MCP servers, web search, hooks, skills, semantic indexing, transcript replay, event logs, and cost or cache tracking. The project is especially useful for developers who want an open, terminal-first coding agent optimized for DeepSeek’s cache mechanics. It also includes a prerelease desktop client for users who prefer a GUI over the same agent loop. -
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Gemini CLI
Open source AI agent CLI tool to bring Gemini into your terminal
Gemini CLI is an open‑source AI agent that brings the capabilities of Google’s Gemini 2.5 Pro large‑language model directly into your terminal, enabling tasks ranging from coding and debugging to content creation and research via natural‑language prompts, with support for multimodal outputs like image and video generation. Gemini CLI integrates with external tools and MCP servers, enabling media generation and enhanced workflow automation. It also includes a built-in Google Search tool to ground queries with relevant information. Users can authenticate with their Google accounts for free usage limits or configure API keys for higher capacity and access to specific models. The tool is designed to be easy to install and use, with extensive documentation and community support for troubleshooting and advanced workflows. -
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ZCode
Z.ai's coding agent harness. Powerful, intelligent, extensible
ZCode is an open-source AI coding workspace that combines desktop, browser, and terminal interfaces around a shared agent runtime. The repository includes an Electron desktop app, web client, backend services, reusable UI packages, and the ZCode Agent CLI. Its terminal interface also serves as the agent runtime used by the other clients. Shared protocols, RPC components, provider integrations, persistence services, and client SDKs keep the different interfaces synchronized. Developers can run local desktop workspaces or prepare assets for remote workspace scenarios. The project uses a pnpm monorepo with React-based UI components and centralized build tooling. It is designed as a complete coding-agent environment rather than a standalone command-line assistant. -
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Goose
AI coding agent that's more than suggestions - install, execute, edit+
Goose is an open-source, extensible AI agent that enhances the software development process by going beyond traditional code suggestions. It allows developers to install, execute, edit, and test code with any large language model (LLM), facilitating a more efficient and streamlined workflow. Designed to operate locally within a developer's environment, Goose integrates seamlessly with various tools and platforms, providing a customizable and powerful assistant for coding tasks. Its architecture supports extensibility, enabling users to tailor the agent to their specific needs and preferences. By leveraging Goose, developers can improve productivity and code quality through advanced AI-driven assistance. -
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Happy Coder
Mobile and Web client for Codex and Claude Code, with realtime voice
Happy is an open-source, cross-platform mobile and web client designed to bring powerful AI coding agents such as Claude Code and Codex to your fingertips no matter where you are. At its core, Happy wraps existing AI coding tools with a unified interface, providing real-time voice interactions, encrypted communication, and seamless device switching between desktop and mobile. You can start a coding session locally through the Happy CLI or connect from a phone or browser, allowing developers to inspect, interact with, and guide the AI as it generates, tests, or explains code. The project includes components like a dedicated backend server for encrypted sync, a rich front-end experience across web and native apps, and support for push notifications when your coding agent encounters permission requests or errors. Happy prioritizes security with end-to-end encryption so your code and interactions remain private and auditable. -
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DeepSeek TUI
Coding agent for DeepSeek models that runs in your terminal
DeepSeek-TUI is a terminal-based user interface designed to interact with DeepSeek language models in a lightweight and efficient way. It provides a text-based chat experience directly within the command line, making it ideal for developers who prefer minimal interfaces. The tool supports streaming responses, allowing real-time interaction with the model. It includes features for managing prompts, sessions, and conversation history within the terminal environment. DeepSeek-TUI emphasizes speed and simplicity, avoiding heavy graphical dependencies. It is particularly useful for local or remote environments where graphical interfaces are impractical. Overall, it delivers an efficient CLI-first experience for AI interaction. -
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MiniMax Code
An open-source coding agent for your terminal, powered by MiniMax
MiniMax Code is an open-source terminal coding agent that can inspect projects, modify files, run commands, and verify changes without leaving the command line. It can authenticate with MiniMax accounts or connect to custom OpenAI- and Anthropic-compatible model providers. A terminal UI supports interactive coding sessions, while a headless mode enables scripted and automated workflows. Built-in capabilities include search, multimodal tools, MCP integrations, managed connectors, and configurable execution permissions. Sessions can be resumed, tasks can be planned, and work can be delegated to subagents. Plugins and built-in skills extend the agent with additional workflows and specialized behavior. ACP support also allows compatible editors and external clients to connect to the coding agent. -
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Grok Build
SpaceXAI's coding agent harness and TUI. Fullscreen, mouse interactive
Grok Build is a terminal-based AI coding agent that operates through a full-screen text interface. It can inspect repositories, edit files, run shell commands, search the web, and coordinate longer development tasks. Users can work interactively, invoke it headlessly in scripts or CI, or connect it to editors through the Agent Client Protocol. The Rust codebase includes separate components for the interface, agent runtime, tools, workspace control, configuration, and sandboxing. It also supports MCP servers, skills, plugins, hooks, themes, checkpoints, and slash commands. Prebuilt binaries are available for macOS, Linux, and Windows, while the source can be compiled with the pinned Rust toolchain. -
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Pi Agent
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI
Pi is an open-source AI agent toolkit and coding agent framework designed to help developers build, run, and extend intelligent AI-powered workflows. Developed by Earendil Works, the project includes a coding agent CLI, unified multi-provider LLM API, agent runtime, terminal UI library, and web UI components. Pi supports multiple AI providers such as OpenAI, Anthropic, and Google through a single consistent API layer, making it easier to integrate different models into applications and agents. The framework is built around extensibility, allowing developers to create custom tools, workflows, and autonomous coding experiences. Pi also encourages the sharing of real-world AI coding sessions to improve agent performance through practical usage data instead of synthetic benchmarks. With its modular architecture, active open-source community, and support for advanced agent capabilities, Pi provides a comprehensive foundation for building next-generation AI development tools and autonomous c -
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T3 Code
Minimal web GUI for coding agents
T3 Code is a minimal web GUI for running coding agents such as Codex, Claude, and OpenCode. It gives developers a cleaner interface for working with agent sessions without relying only on terminal-based workflows. The project can be launched quickly with npx, and it also supports desktop and remote access setups. Users need to install and authenticate at least one supported provider before using it, which keeps the actual agent accounts under the user’s control. The repository includes guidance for exposing a T3 Code server to another device, such as a phone, tablet, or separate desktop app. Overall, it is an early-stage developer tool for managing AI coding agents through a lightweight, session-oriented web interface. -
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LazyCodex
The one and only agent harness for complex codebases
LazyCodex is an agent harness for using Codex on complex software projects. It is designed to add structure around AI coding sessions through memory, planning, execution, verification, skills, hooks, routing, and diagnostics. The project helps developers move beyond one-off prompts by giving the agent a more organized workflow inside a codebase. It supports project memory so context can persist across sessions and decisions do not need to be repeatedly reintroduced. LazyCodex also emphasizes verified completion, which means the workflow is built around checking whether tasks are actually finished rather than only generating code. Its main value is turning Codex into a more disciplined coding agent environment for larger and more demanding repositories. -
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Mistral Vibe CLI
Minimal CLI coding agent by Mistral
Mistral Vibe is an AI-powered “vibe-coding” command-line interface (CLI) and coding-assistant framework built by Mistral AI to let developers write, refactor, search, and manage code through natural language and context-aware automation, rather than manual typing only. It aims to take developers out of repetitive boilerplate and let them stay “in the flow”: you can ask the tool to generate functions, refactor code, search across the codebase, manipulate files, commit changes via Git, or run commands — all from a unified CLI interface. Behind the scenes, it leverages Mistral’s coding-optimized LLM stack (including models tuned for code understanding and generation), with project-wide context awareness: it scans your file structure, Git status, and recent history to inform suggestions so that generated code aligns with existing context.
