Best Open Source Alternatives to Cursor IDE in 2026
Cursor's Pricing Is Adding Up
Cursor Pro costs $20/month per developer. Pro+ is $60/month. Teams plan is $40/user/month. For a 10-person engineering team on the Teams plan, that's $4,800/year — every year — for an AI code editor.
The pricing model changed in June 2025 from request-based to credit-based, where your monthly payment becomes a credit pool that depletes based on which AI models you use. Premium model calls (Claude Sonnet, GPT-4o) consume credits faster. Once exhausted, you're limited to slower, less capable models.
Beyond cost, Cursor processes your code on remote servers. Your proprietary codebase, your business logic, your unreleased features — all sent to Cursor's infrastructure. Enterprise adds privacy controls, but that's custom pricing.
Open source alternatives let you run AI code assistance with local models (Ollama, llama.cpp) or configure your own API keys, keeping code on your own machines.
TL;DR
Zed (75K+ stars) is the best overall Cursor alternative — a Rust-built GPU-accelerated editor with native AI agent support and multi-model flexibility. Void is the most direct Cursor replacement for VS Code users, being a VS Code fork with local AI support. Continue.dev is the best option for developers who want to keep VS Code or JetBrains but add AI assistance.
Key Takeaways
- Zed has 75K+ GitHub stars and is built in Rust for exceptional performance — instant startup, minimal memory usage
- Void is a direct VS Code fork with privacy-first local AI model support
- Continue.dev (20K+ stars) works as a VS Code/JetBrains extension — no editor switch required
- Local models via Ollama mean zero code ever leaves your machine
- The quality gap between Cursor + Claude and Zed + Claude API is minimal — you're paying for convenience, not capability
- VS Code with Copilot or Continue.dev remains viable for teams with existing IDE investments
Quick Comparison
| Tool | GitHub Stars | Editor Base | AI Backend | Cost | Privacy |
|---|---|---|---|---|---|
| Zed | 75K+ | Native (Rust) | Any (configurable) | Free | Full (local models) |
| Void | 28K+ | VS Code fork | Ollama/any API | Free | Full (local models) |
| Continue.dev | 20K+ | VS Code/JetBrains ext | Any (configurable) | Free | Configurable |
| Lapce | 34K+ | Native (Rust) | Limited AI | Free | Full |
| Cursor | N/A | VS Code fork | OpenAI/Anthropic | $20-200/mo | Limited |
Zed — Best Overall Cursor Alternative
Zed is a native, GPU-accelerated code editor built in Rust. Unlike Cursor and VS Code (Electron-based), Zed renders through Metal (macOS) and Vulkan (Linux/Windows), giving it near-instant startup and dramatically lower memory usage.
What Makes It Stand Out
Agent support: Zed created the Agent Client Protocol (ACP) — an open standard that lets external AI agents run inside the editor with full integration. You can run Claude Code, custom agents, or any ACP-compatible agent.
Multi-model AI: Configure any AI backend — OpenAI, Anthropic, Ollama, or any OpenAI-compatible endpoint. Use Claude for complex reasoning, use a local Qwen2.5-Coder model for sensitive code, switch between them per task.
Collaboration: Real-time collaborative editing with Zed's proprietary sync (or local network). Think Google Docs for code.
Performance: Side-by-side benchmarks show Zed opens large codebases 3-10x faster than VS Code. Memory usage is 50-80% lower on identical projects.
AI inline editing: Highlight code, press a shortcut, describe what you want changed. The same inline edit flow Cursor is known for.
Self-Hosting
Zed's editor is free and open source (Apache 2.0 for the editor). The collaboration server can be self-hosted:
# Install Zed
curl https://zed.dev/install.sh | sh
# Configure local Ollama for privacy
# In Zed settings.json:
{
"language_models": {
"ollama": {
"available_models": [
{ "name": "qwen2.5-coder:7b", "max_tokens": 8192 }
]
}
}
}
Limitations
Zed's extension ecosystem is smaller than VS Code's. Many language servers work, but niche plugins or custom workflows may not have Zed equivalents. Linux support is good but less polished than macOS. Windows support is newer (added in 2024).
Best for: Developers who want maximum editor performance and privacy-first AI with local models.
Void — Best Direct Cursor Replacement
Void is a VS Code fork with native local AI support — built for developers who want Cursor's features but with full control over where their code is processed.
What Makes It Stand Out
VS Code compatibility: Every VS Code extension works in Void. Your existing setup, keybindings, and workflows carry over immediately.
Privacy-first design: Void was explicitly built around the premise that your code should stay local. Connect to Ollama or any local model server — no code leaves your machine.
Checkpoint system: Visualize and revert AI-suggested changes with a checkpoint tree, similar to Cursor's diff view.
YC-backed: Void was accepted to Y Combinator, indicating credible backing and development trajectory.
Current Status
Void entered public beta in mid-2025 and continued development through 2026. As an early-stage fork, some features are less polished than Cursor, and the team is smaller. Check the GitHub repository for current development status before committing.
Self-Hosting
Void is a VS Code fork — it runs locally by design:
# Download from GitHub releases
# Or build from source:
git clone https://github.com/voideditor/void
cd void
npm install
npm run build
Configure local AI in settings — point it at your Ollama endpoint and select your model.
Best for: VS Code users who want a direct Cursor alternative with local AI and full VS Code extension compatibility.
Continue.dev — Best for Keeping Your Current Editor
Continue.dev takes a different approach: instead of a new editor, it's an extension that adds AI capabilities to VS Code and JetBrains IDEs. Keep everything you know, add AI on top.
What Makes It Stand Out
No editor migration: If your team is on VS Code or IntelliJ/WebStorm, Continue.dev adds AI without forcing everyone to switch editors.
Any AI backend: Connect to OpenAI, Anthropic, Google, Groq, Azure OpenAI, or any local Ollama model. The model is configurable per task.
Context-aware: Continue.dev can reference specific files, the current file, git diff, recently edited files, or terminal output as context for AI requests.
Tab autocomplete: Inline code completion with local models (fast inference models like Qwen2.5-Coder 1.5B work well for autocomplete without GPU requirements).
Self-Hosting
Continue.dev runs as an extension — install from the VS Code marketplace:
ext install Continue.continue
For fully local operation, configure Ollama:
{
"models": [{
"title": "Qwen2.5-Coder 7B",
"provider": "ollama",
"model": "qwen2.5-coder:7b"
}],
"tabAutocompleteModel": {
"title": "Qwen2.5-Coder 1.5B",
"provider": "ollama",
"model": "qwen2.5-coder:1.5b"
}
}
Best for: Teams on VS Code or JetBrains who want AI assistance without switching editors or sending code to external services.
The Privacy Argument: Local Models for Code
The strongest case for open source alternatives isn't cost — it's that your code never leaves your infrastructure.
Cursor processes code on remote servers. Copilot sends code to GitHub/Azure. Both have privacy tiers, but the code traverses their networks.
With Zed + Ollama or Continue.dev + Ollama:
- Install Ollama on your machine or a local server
- Pull a coding model:
ollama pull qwen2.5-coder:7b - Configure your editor to use
http://localhost:11434 - All AI processing happens on your hardware
No code leaves your network. No usage data collected. No vendor seeing your proprietary algorithms or unreleased features.
Recommended Local Models for Coding
| Model | Size | Use Case | VRAM Required |
|---|---|---|---|
| Qwen2.5-Coder 1.5B | 1GB | Tab autocomplete | CPU-capable |
| Qwen2.5-Coder 7B | 4.5GB | General coding | 6GB VRAM |
| Qwen2.5-Coder 32B | 20GB | Complex refactoring | 24GB VRAM |
| DeepSeek-Coder V2 | 9GB | Deep reasoning | 8GB VRAM |
| Codestral 22B | 14GB | Large codebases | 16GB VRAM |
Cost Comparison: Cursor vs Open Source
Cursor Annual Costs (10-Person Team)
| Plan | Per User/Month | Annual (10 people) |
|---|---|---|
| Hobby (Free) | $0 | $0 |
| Pro | $20 | $2,400 |
| Pro+ | $60 | $7,200 |
| Teams | $40 | $4,800 |
Open Source Alternative Costs (10-Person Team)
| Setup | One-Time | Monthly | Annual |
|---|---|---|---|
| Zed/Continue.dev + Ollama (local) | $0 | $0 | $0 |
| Shared Ollama server (Hetzner) | $0 | $15-30 | $180-360 |
| API keys (Anthropic/OpenAI direct) | $0 | $20-80 | $240-960 |
Using Claude or OpenAI APIs directly (instead of through Cursor's proxy) typically costs 20-40% less per request. You pay the model provider's rates without Cursor's margin.
How to Migrate from Cursor
- Evaluate your usage pattern: Do you primarily use inline editing, chat, or autocomplete?
- Choose your editor: Zed if you want maximum performance; Void if you want VS Code compatibility; Continue.dev if you want no editor change
- Choose your AI backend: Local (Ollama) for privacy, direct API for convenience, or both
- Migrate settings: VS Code settings/keybindings transfer to Void and most VS Code forks
- Run in parallel for a week: Use both editors before fully switching
Most developers report the transition to Zed or Continue.dev takes 1-2 days to feel comfortable and 1-2 weeks to feel fully productive.
Find Your Alternative
The AI-assisted coding market is maturing rapidly, and open source tools now deliver comparable AI capabilities to Cursor — often with better privacy and no recurring subscription costs.
Browse all Cursor IDE alternatives on OSSAlt — compare features, community health, and deployment options for every major open source AI code editor.