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Open Source Cursor Alternatives

A curated collection of the 13 best open source alternatives to Cursor.

The best open source alternative to Cursor is Zed. If that doesn't suit you, we've compiled a ranked list of other open source Cursor alternatives to help you find a suitable replacement. Other interesting open source alternatives to Cursor are: Cline, Aider, Tabby, and Kilo.

Cursor alternatives are mainly AI Coding Assistants but may also be AI-Powered Editors or AI Coding Agents. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Cursor.

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Written by Piotr Kulpinski

A Rust-built code editor from the creators of Atom and Tree-sitter, combining native performance with multiplayer collaboration and deep AI integration.

Screenshot of Zed website

Zed is a code editor built from scratch in Rust, designed to make full use of multiple CPU cores and your GPU. The result is an editor that feels noticeably faster than most alternatives at startup, during file navigation, and while typing. It comes from the team behind Atom and Tree-sitter, and that experience shows in how carefully each feature is implemented.

The AI integration goes well beyond a chat sidebar. Zed lets you run multiple agents in parallel across different projects, delegate tasks and watch changes happen live, and bring in models from providers like Anthropic, OpenAI, or others via ACP. If you prefer a lighter touch, the inline assistant lets you send selected code directly to a model for transformation without breaking your flow. Edit prediction, powered by Zeta (an open-weight model), anticipates your next edit as you type. Tools like Aider take a similar agentic approach, but Zed does it natively inside the editor itself.

Collaboration is built in at a deep level. You can code with teammates in real time, share your screen and project, and chat without leaving the editor. Remote development is also supported: the UI runs locally while the actual codebase lives on a remote server.

Key capabilities include:

  • Multibuffer editing: compose excerpts from across the codebase into one editable surface
  • Native Git support: stage, commit, diff, pull, and push without plugins
  • Debugger: built on the Debug Adapter Protocol with multi-language support
  • LSP support: full language server integration for diagnostics, completions, and more
  • Vim and Helix modes: first-class modal editing with text objects and marks
  • Built-in REPL: run code interactively through Jupyter kernels
  • Dev Containers: consistent environments across machines
  • Extensions ecosystem: hundreds of extensions for language support, themes, and tooling

Zed targets developers who've felt the sluggishness of Electron-based editors and want something that keeps up with how fast they think. It's a strong alternative to editors like CodeEdit for macOS users who want a native feel, but with broader platform support (macOS, Linux, and Windows) and a more mature feature set. The combination of raw speed, real-time collaboration, and deep AI tooling in a single editor is what makes it stand apart.

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AI coding agent that runs inside VS Code and the terminal, supporting multi-file edits, bash execution, and any LLM provider via bring-your-own-key.

Screenshot of Cline website

Cline is an open-source AI coding agent that works inside VS Code and the command line. It reads and edits files across a project, runs terminal commands, reacts to their output in real time, and handles long-running processes like dev servers or test suites.

The Plan/Act mode split lets you discuss a strategy with the agent before it touches any code, then switch to Act mode when you're ready to execute. Every step is approvable, or you can enable auto-approve for unattended runs.

Model choice is unrestricted. Claude, GPT, Gemini, local Ollama or LM Studio instances, and any OpenAI-compatible endpoint all work. You bring your own key or your own weights.

For teams, Cline supports multi-agent setups where a coordinator delegates to specialist agents with their own tools and context windows. It also connects to Slack, Discord, Telegram, and Linear, and runs headlessly inside GitHub Actions or GitLab pipelines. Tools like Roo Code and OpenHands take a similar multi-agent approach if you want to compare.

.clinerules files let you ship coding standards, architecture guidelines, and deployment conventions alongside your repo so the agent follows project-specific rules consistently.

Extensibility comes through the SDK and MCP server support, which lets you register custom tools and connect to databases, APIs, or infrastructure. The project is Apache 2.0 licensed with 250+ contributors.

Terminal-based AI coding tool that lets you edit existing codebases or start new projects using LLMs like Claude, GPT, and DeepSeek.

Screenshot of Aider website

Aider brings AI pair programming directly into your terminal, letting you work with large language models on real codebases. It's built for developers who want to stay in their existing workflow rather than switching to a new editor or browser-based tool.

You point Aider at your project directory and start a conversation. It reads your files, understands the structure, and makes targeted edits across multiple files at once. Changes are applied directly to your code, not pasted into a chat window for you to copy manually.

Key capabilities:

  • Multi-model support: works with Claude, GPT-4, o3-mini, DeepSeek, and other LLMs. You bring your own API key.
  • Git-aware editing: automatically commits changes with meaningful messages, so every AI-assisted edit is tracked and reversible.
  • Multi-file edits: handles changes that span several files in a single request, keeping diffs coherent.
  • Existing codebase support: drop it into any project, not just greenfield work. It maps your repo to give the model context.
  • Voice input: supports voice-to-code for hands-free coding sessions.
  • Linting and test integration: can run your test suite or linter after edits and feed results back to the model for self-correction.

Compared to IDE plugins or browser-based AI coding agents, Aider is lightweight and editor-agnostic. It fits into any setup that has a terminal. The open source model means no subscription lock-in, and you control which LLM backend you use.

It's a practical choice for developers who want AI assistance without giving up their existing tools or paying for a bundled editor.

Self-hosted AI coding assistant that enhances productivity with context-aware suggestions and privacy-focused implementation.

Screenshot of Tabby website

Tabby is a revolutionary self-hosted AI coding assistant that transforms the way developers write code. By leveraging advanced machine learning techniques, Tabby provides intelligent, context-aware code suggestions that seamlessly integrate into your existing workflow.

Key benefits of Tabby include:

  • Enhanced Productivity: Tabby accelerates your coding process by offering relevant code completions and snippets, reducing the time spent on repetitive tasks.
  • Privacy-Focused: As a self-hosted solution, Tabby ensures that your code and data remain secure within your own infrastructure, addressing privacy concerns associated with cloud-based alternatives.
  • Customizable and Adaptable: Tabby learns from your codebase and coding style, providing increasingly accurate and personalized suggestions over time.
  • Language Agnostic: Supporting a wide range of programming languages, Tabby seamlessly integrates into diverse development environments.
  • Resource Efficient: Designed to run efficiently on consumer-grade hardware, Tabby delivers powerful AI assistance without the need for extensive computational resources.
  • Open Source: Benefit from a transparent, community-driven development process and the ability to customize Tabby to your specific needs.

By combining the power of AI with the control and security of self-hosting, Tabby empowers developers to write better code faster while maintaining full ownership of their development process.

Open source AI coding agent with 500+ models, bring-your-own-key support, and specialized modes for writing, debugging, and planning code across IDEs and CLI.

Screenshot of Kilo website

Kilo is an AI coding agent that works inside VS Code, JetBrains, the command line, and a hosted cloud environment. It's built for developers who want full control over their AI setup: bring your own API keys at zero markup, use local models to keep code private, or route through Kilo's model gateway to access 500+ models.

The agent ships with five specialized modes, each suited to a different part of the development workflow:

  • Code Mode writes, refactors, and ships production-ready code with full codebase context
  • Architect Mode helps plan complex features and structure work before any code is written
  • Debug Mode reads errors, traces issues, and suggests targeted fixes
  • Ask Mode answers questions about your codebase without making changes
  • Custom Mode lets you define your own agent behavior for specific workflows

Switching between modes doesn't mean switching tools. Everything runs in the same agent, in the editor or terminal you're already using.

Kilo also includes KiloClaw, a managed version of the OpenHands open agent platform. It deploys in under 60 seconds with no Docker, SSH, or config files required. Once running, KiloClaw connects to Telegram, Discord, or Slack, handles scheduled tasks and cron jobs, and acts on your behalf autonomously. It's the part of Kilo designed for background work: running tasks while you're away, automating repetitive operations, or handling code review in the cloud.

For teams comparing options, Kilo positions itself against tools like Cline and Roo Code as a more fully integrated alternative with broader model support and cloud agent capabilities built in. The codebase is Apache-2.0 licensed and fully open source.

A lightweight, natively built editor. Open source and free forever. Develop any project using any language at speeds like never before.

Screenshot of CodeEdit website

CodeEdit is an exciting new code editor written entirely and unapologetically for macOS. Develop any project using any language at speeds like never before with increased efficiency and reliability in an editor that feels right at home on your Mac.

It is not meant to replace Xcode but rather supplement it for projects not intended for Apple platforms. We believe every type of developer deserves a great experience and excellent performance.

Key features:

  • macOS Native: Harness the full power of your Mac, something only possible with our completely native architecture developed in Swift.
  • Lightweight Yet Powerful: Designed to be lean with limitless potential.
  • Completely Open Source: CodeEdit is developed for you by developers like you. Don't like something? Want a new feature? Just create an issue or submit a PR.
  • Extensible & customizable: Make CodeEdit your own, tailored to your needs.
  • Familiar & Intuitive User Interface: Our user interface is designed to be familiar for ease-of-use and productivity.
  • Better tools to get the job done: Feel connected to the code you are writing with tools to keep you on track.
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Void is an open-source alternative to Cursor, offering AI-powered coding features while maintaining full control over your data and privacy.

Screenshot of Void website

Important: Work on Void is currently paused. Some features may be outdated or broken.

Void is an innovative open-source AI code editor that combines the power of artificial intelligence with full privacy and control. As a fork of VS Code, it offers a familiar environment while introducing cutting-edge AI features to enhance your coding experience.

Key features:

  • AI-powered coding assistance: Leverage AI for autocomplete, inline editing, and contextual code suggestions
  • Full privacy: Retain complete control over your data and models
  • Customizable AI integration: Use any LLM model, including local options for enhanced privacy
  • VS Code compatibility: Seamlessly transfer your existing themes, keybinds, and settings
  • Community-driven development: Benefit from an active open-source community and contribute to the project's growth

Void stands out with its commitment to privacy and flexibility. Unlike proprietary alternatives, you can host your own models locally or connect directly to your preferred LLM providers. This approach ensures that your code and data remain under your control while still benefiting from advanced AI capabilities.

The editor offers a range of powerful features, including:

  • Tab-based autocomplete: Press 'Tab' to apply AI-suggested completions
  • Inline editing: Use Ctrl+K to edit selections with AI assistance
  • Contextual queries: Ask questions and include files in your prompts with Ctrl+L
  • Intelligent search: Utilize AI to perform advanced searches within your codebase
  • Fine-tuned generation: Create custom generators for tasks like docstring creation

Void is ideal for developers who value both innovation and privacy in their coding tools. Whether you're working on personal projects or sensitive enterprise applications, Void provides the AI-powered features you need without compromising on data security or flexibility.

Open-source AI coding assistant with multi-file editing, agentic workflows, and model flexibility. Transform your VS Code into an intelligent development environment.

Screenshot of Roo Code website

Transform your VS Code into an intelligent development environment with AI assistants that understand your entire codebase. Unlike traditional autocomplete tools, Roo Code provides agentic AI capabilities that can plan, write, and fix code across multiple files simultaneously.

Key advantages over closed alternatives:

  • Open-source and model-agnostic - Use any AI model including OpenAI, Anthropic, or local LLMs
  • Deep project-wide context - Reads your entire codebase for intelligent multi-file refactoring
  • Specialized modes - Switch between coding, debugging, and architecture modes on demand
  • Task orchestration - Breaks down complex tasks and delegates to specialized AI modes
  • Guarded execution - Approve or deny commands while maintaining full control

Advanced capabilities include:

  • Multi-file editing with diff-based preservation
  • Automated browser testing and verification
  • Command execution with permission controls
  • Fully customizable modes and behavior rules
  • Enterprise-ready with self-hosted model support

Privacy-focused design ensures your code stays local unless you choose external APIs. Use .rooignore files to exclude sensitive content and run completely offline with local models for maximum security.

Perfect for both enterprise development and casual coding, Roo Code adapts to your workflow while providing the intelligence of an entire development team right in your editor.

Terminal-based AI coding assistant with 2M token context window, diff review sandbox, and smart context management for building production-ready software.

Screenshot of Plandex website

Plandex is a powerful terminal-based AI coding agent built for serious software development. With its industry-leading 2M token context window and tree-sitter project mapping, it excels at handling large codebases and complex tasks that overwhelm other AI tools.

The agent offers flexible autonomy levels - from fully automated coding to granular step-by-step control. Its diff review sandbox lets you safely stage and review changes across multiple files, execute commands, and automatically debug issues. The smart context management system ensures the AI maintains understanding across large projects.

Key capabilities:

  • Mix and match models from OpenAI, Anthropic, Google and others
  • Isolated change management with rollback support
  • Production-ready code generation
  • Automated debugging and testing
  • Support for projects with many large files

Available as both open source (MIT license) and cloud service. The cloud offering includes $20 monthly credits, quick 30-second setup, and access to fine-tuned models for faster/cheaper edits. With 10,000+ GitHub stars and an active community, Plandex is rapidly becoming an essential tool for AI-assisted development.

AI coding harness that runs inside your terminal, mixes LLMs per task, and uses multi-agent architecture to handle large codebases without bloating context.

Screenshot of Forgecode website

ForgeCode is a terminal-native AI coding agent that sits directly inside your ZSH shell. It's built for developers who want AI assistance without leaving the command line or abandoning their existing setup. Your custom aliases, Oh My Zsh plugins, and shell workflows stay intact. Type : and you're talking to ForgeCode.

What sets it apart from other AI coding tools is how it handles context. Rather than dumping your entire codebase into one prompt, ForgeCode uses a multi-agent architecture with specialized sub-agents for research, planning, and execution. Each agent works on minimal, relevant context, which keeps local models on track and results reliable.

Key capabilities:

  • Model mixing per task. Use a thinking model to plan, a fast model to write code, and a large-context model for big files, all within a single session without restarting.
  • Codebase understanding at scale. A context engine built for large repos, with fast tool corrections that prevent local models from drifting off course.
  • Skills at scale. Handles thousands of skills without bloating the context window.
  • Broad LLM support. Connects to hundreds of providers and models natively from the shell.
  • Rigorous evaluation. Every change runs through thousands of evaluations across coding tasks and models before shipping.

ForgeCode ranks #1 on TermBench 2.0 with 81.8% accuracy, a benchmark designed specifically for terminal-based coding agents. It processes over 38 billion tokens and 24 million lines of code per day across its user base.

It's fully open source, with over 7,300 GitHub stars and 354 releases, backed by an active community. For teams already living in the terminal, it's a practical alternative to browser-based or IDE-embedded AI coding environments.

PearAI integrates cutting-edge AI tools into a powerful code editor, accelerating your coding process with features like AI chat and inline prompts.

Screenshot of PearAI website

PearAI is an innovative open-source AI-powered code editor designed to supercharge your development process. By seamlessly integrating a curated selection of the best AI tools, PearAI offers a unique coding experience that feels like magic.

Key features:

  • AI-powered coding assistance: Leverage advanced AI models to generate code, fix bugs, and refactor with ease.
  • Inline prompts: Get context-aware suggestions and explanations as you code, enhancing your understanding and productivity.
  • Integrated AI chat: Communicate directly with AI assistants to solve complex problems or brainstorm ideas.
  • Debugging support: Utilize AI-enhanced debugging tools to quickly identify and resolve issues in your code.
  • Curated AI tool inventory: Access a constantly updated selection of the best AI coding tools, seamlessly integrated into your workflow.

PearAI stands out by offering:

  • Open-source transparency: Review every line of code in our public repositories, ensuring trust and community involvement.
  • Zero data retention policy: Your code remains private and secure, with no storage on our end.
  • Customizability: Tailor the editor to your needs, with options for self-hosting in enterprise environments.

Whether you're a seasoned developer or just starting out, PearAI's intuitive interface and powerful AI capabilities will help you write better code faster. Experience the future of coding with PearAI and transform your development process today.

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Advanced AI coding assistant that helps enterprise teams write, fix, and maintain code with enhanced accuracy and consistency across large codebases

Screenshot of Cody website

Cody is a powerful AI coding assistant designed specifically for enterprise development teams. It goes beyond basic code completion by providing intelligent assistance for writing, fixing, and maintaining code across complex codebases.

Key benefits include:

  • Enterprise-grade capabilities that help maintain consistency and quality across large teams
  • Deep codebase understanding for more accurate and contextual suggestions
  • Multi-IDE support including VS Code, Visual Studio, Eclipse, and the full JetBrains suite
  • Customizable prompts that can be shared across teams to automate common tasks
  • Integration with non-code tools like Notion and Linear for comprehensive context

Trusted by major companies like Indeed, Dropbox, Reddit, and Uber, Cody helps development teams accelerate their workflow while maintaining high code quality standards.

Deploy AI agents that build features, fix bugs, and handle complex workflows overnight. Wake up to tested code and ready-to-review pull requests.

Screenshot of OmoiOS website

Transform your development workflow with AI agents that work around the clock. OmoiOS deploys autonomous agents that execute your feature requests while you rest, delivering tested code and pull requests ready for review by morning.

Key capabilities include:

  • Spec-driven development - Describe features in plain English with constraints and guardrails
  • Autonomous execution - Agents work in isolated sandboxes, writing code, running tests, and fixing issues
  • Full traceability - Every change connects back to your original specification with clear audit trails
  • Quality assurance - Built-in testing and self-correction prevents low-quality output from reaching you
  • Parallel processing - Multiple concurrent agents handle complex workflows without merge conflicts

Perfect for CTOs and founders who need to scale engineering output without scaling headcount. The platform integrates with GitHub, GitLab, VS Code, and major AI providers, fitting seamlessly into existing development workflows.

Pricing starts free with 1 concurrent agent and 5 workflows per month, scaling to enterprise solutions with unlimited agents and custom SLAs. No babysitting required - problems fix themselves through automated retries and self-correction.

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