#1 — OpenCode
OpenCode is the most-starred open-source coding agent in the world right now. It lives in your terminal, plans and executes multi-step tasks, edits files, runs commands, and connects to 75+ model providers — from cloud APIs to fully local models via Ollama or LM Studio. It is provider-agnostic by design, so you are never locked into one vendor.
Best for: terminal-first developers who want a powerful agent and total freedom to swap models.
#2 — Cline
Cline is the leading autonomous agent for VS Code. You describe a task; it proposes a plan for your approval, then edits files and runs terminal commands step by step — with you in the loop the whole time. It works with your own API keys or with local models, so you can keep costs (and code) under control.
Best for: VS Code users who want an autonomous agent with human approval at each step.
#3 — Goose
Goose, built by Block (the company behind Square and Cash App), is an extensible on-machine agent available as both a desktop app and a CLI. It is built around the Model Context Protocol (MCP), so you can plug in tools, data sources and custom extensions, and run it against any LLM — local or hosted.
Best for: developers who want an extensible, MCP-native agent that runs locally.
#4 — Aider
Aider is a terminal pair-programmer that is deeply git-native: every change it makes is committed with a clear, sensible message, so you always have a clean history and easy rollback. It excels at coordinated edits across many files and works with both local and cloud models.
Best for: developers who live in the terminal and want git-clean, multi-file edits.
#5 — Continue
Continue is the closest open-source experience to Copilot's inline autocomplete. It is an extension for VS Code and JetBrains that adds tab completion, in-editor chat, and custom slash-commands — and you bring your own model, including local ones through Ollama. If you mainly want "Copilot but free and private", start here.
Best for: inline tab-autocomplete and chat directly inside your IDE.
#6 — Tabby
Tabby is a self-hosted completion server: you run it on your own hardware, and no code ever leaves your infrastructure. It ships IDE plugins and is designed for teams and companies with strict privacy or compliance needs. (Note: Tabby uses a source-available license with some usage restrictions, not a fully permissive one.)
Best for: teams and enterprises that need on-premise, private code completion.
#7 — Void
Void is an open-source fork of VS Code — a complete editor built to be a free alternative to Cursor. It bundles an agent, autocomplete and chat, and lets you point everything at any model, including local ones. You get the polished Cursor-style workflow without the subscription or the closed source.
Best for: anyone who wants a full Cursor-like editor that is free and open.
#8 — Roo Code
Roo Code is a VS Code agent (originally a fork of Cline) built around customizable modes — Architect, Code, Debug and Ask — each tuned for a different phase of work. It supports MCP and multiple providers, and gives power users fine-grained control over how the agent behaves.
Best for: power users who want configurable, task-specific agent modes.
Which model should you run?
A coding assistant is only as good as the model behind it. The good news: the open models have caught up. Here is what to pair with the tools above.
- Top quality (needs an API or serious hardware): Qwen3-Coder (Apache-2.0) and DeepSeek-V3.2 (MIT) are the open leaders, both reported at roughly 70% on SWE-bench Verified by their authors — close to the best closed models.
- Best for a single local GPU: Qwen2.5-Coder-32B (Apache-2.0) is the community favourite; quantized, it runs on a 24 GB card and handles most day-to-day coding.
- Fast inline completion: Codestral (Mistral) is built for low-latency autocomplete and runs comfortably on modest hardware.
- Local agentic work: Devstral (Apache-2.0) is tuned for agent-style, multi-step coding and is designed to run locally.
Quick comparison table
| Tool | Type | Stars (Jul 2026) | License | Runs local? | Best for |
|---|---|---|---|---|---|
| OpenCode | Terminal agent | 189k | MIT | Yes | Provider freedom |
| Cline | VS Code agent | 65k | Apache-2.0 | Yes | Autonomous edits in VS Code |
| Goose | Local agent | 52k | Apache-2.0 | Yes | MCP / extensibility |
| Aider | Terminal pair | 48k | Apache-2.0 | Yes | Git-clean multi-file edits |
| Continue | IDE extension | 35k | Apache-2.0 | Yes | Copilot-style autocomplete |
| Tabby | Self-hosted server | 34k | Source-available | Yes (self-host) | On-prem / teams |
| Void | Full editor | 29k | Apache-2.0 | Yes | Free Cursor alternative |
| Roo Code | VS Code agent | 24k | Apache-2.0 | Yes | Configurable agent modes |
How to choose
There is no single winner — the right tool depends on where you work:
- You live in the terminal: OpenCode or Aider.
- You want an agent inside VS Code: Cline (or Roo Code for tunable modes).
- You just want fast autocomplete: Continue.
- You want a full editor like Cursor: Void.
- Your company needs everything on-premise: Tabby.
Most developers end up combining two: a terminal agent for deep work and an IDE extension for quick edits. Because they are all free and open, there is no cost to trying several.
Frequently Asked Questions
What is the best open-source alternative to GitHub Copilot?
For inline autocomplete, Continue is the closest match. For an autonomous agent that edits files, Cline (in VS Code) or OpenCode (terminal). For a full editor like Cursor, Void. For a fully private, on-premise setup, Tabby.
Can these coding assistants run fully offline?
Yes. Continue, Cline, Aider, Goose, OpenCode, Void and Roo Code all support local models through Ollama or LM Studio, and Tabby is self-hosted by design. With a local model, nothing leaves your machine.
Are open-source coding assistants really free?
The tools themselves are free and open-source. If you connect them to a cloud model (OpenAI, Anthropic, etc.) you pay that provider per token. If you run a local model instead, your cost is $0 — you only need the hardware.
Which one is best for VS Code?
Cline for an autonomous agent, Continue for autocomplete and chat, and Roo Code if you want configurable modes. All three are free VS Code extensions.
Do I need a GPU to use them?
Only if you run the model locally — a capable coding model wants roughly 16–24 GB of VRAM. If you point the tool at a hosted API instead, any laptop works.
Which open model is best for coding in 2026?
Qwen3-Coder and DeepSeek-V3.2 lead the open benchmarks (~70% on SWE-bench Verified as reported by their authors). For a single local GPU, Qwen2.5-Coder-32B is the practical favourite.