Open Source Cursor Alternatives

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.

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.

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.

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.

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.

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.

Paseo runs coding agents on your own machines and lets you drive them from your phone, desktop, web, or terminal. It’s for developers who use CLI agents like Claude Code or Codex and want to start, monitor, and steer them without sitting at their laptop. Kick off a task at your desk. Check on it from your phone later.

It sits on top of the agents you already have rather than replacing them. Each provider runs as its own process using its native harness, so your subscriptions, skills, config, and MCP servers keep working, and Paseo doesn’t wrap or modify their behavior.

• Multi-provider: works with Claude Code, Codex, Cursor, OpenCode, Pi, and dozens more.
• Full mobile parity: the native mobile app does everything the desktop app does.
• Runs where you work: start agents on a laptop, VM, or dev server, then reach them over a direct connection or an end-to-end encrypted relay.
• Code stays local: agents run on your machines and talk to their own APIs. Paseo doesn’t send your code anywhere.
• Review and ship inline: create branches, preview the app in a browser, review diffs, commit, open a PR, and merge without leaving the app.
• Scriptable: anything in the app also works from the terminal, including loops and schedules.

An optional self-hosted Hub adds GitHub, Slack, and Discord triggers, so mentioning a bot can start an agent on your own daemon with your own keys. It’s free.

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.

Jean is a dev environment built specifically for AI-assisted coding. Instead of running one agent in one terminal, it lets you spin up multiple agents in parallel, each in its own isolated Git worktree, so they can work on separate branches simultaneously without stepping on each other.

It's opinionated by design. Jean makes decisions about how AI-assisted development should work, so you don't spend time configuring workflows from scratch. Git worktrees, chat sessions, terminals, GitHub and Linear integrations all live in one interface.

Key capabilities:

• Isolated workspaces – every agent task gets its own worktree. Launch multiple agents at once, review each workspace independently, and merge only what you approve.
• Linked Projects – connect related repos (app, API, docs, SDK) so agents share context across all of them without manual copy-pasting.
• Magic Git Commands – load GitHub or Linear issues into a session, run AI code reviews, generate commit messages and PR descriptions, write release notes, and resolve merge conflicts from a command palette.
• Magic Prompts – every built-in workflow has an editable prompt template. You can swap models and reasoning levels per workflow, using faster models for routine tasks and stronger ones for reviews.
• Mr. Robot – polls open GitHub issues, creates a worktree per issue, and drafts a focused plan. Can execute approved plans automatically on a schedule.
• Token-reduction plugins – RTK compresses CLI tool output by 60-90%; Caveman trims Claude's replies by 65-75%. Both install with one click.
• Remote access – run Jean on a Linux server and connect from any browser or the native app. Works well over Tailscale for private network access.

Jean supports OpenCode, Claude CLI, Codex CLI, Cursor, Grok, Kimi Code, and others. You bring your own subscription for each provider. It's a solid alternative to tools like Claude Code or Jules when you need multi-agent coordination and cross-repo context in one place.

Licensed under Apache 2.0, free forever, with no paid tiers or feature gates.