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RUNLOCALAI · v38
← Home·/apps·Coding agent

Twinny

Fully offline

Free, lightweight VS Code copilot that runs entirely on Ollama. Strong on autocomplete.

Editorial verdict: “Best minimal-surface Copilot-replacement that's been Ollama-native since day one.”

Coding agent
Free
MIT
★ 4.2 / 5
GitHub ★ 3,500
↗ Homepage↗ GitHub

Compatibility at a glance

Which runtime + OS combos this app works against. Source of truth for "will it run on my setup?"

§ Runtimes supported
ollama
§ OS / platform
macoslinuxwindows
§ Hardware + model hint
Minimum VRAM
8 GB
Recommended starter model
DeepSeek Coder 6.7B Q4_K_M or Qwen 2.5 Coder 7B
→ Build the rest of the stack with /stack-builder→ Pick a GPU for this app

What it is

Twinny is for solo Ollama users who want a Copilot replacement without the configuration overhead. It bridges directly to Ollama, delivering autocomplete and inline chat with lower latency than Continue, especially on models like DeepSeek Coder 6.7B Q4_K_M or Qwen 2.5 Coder 7B. The extension is fully offline and MIT-licensed, running on macOS, Linux, or Windows with at least 8 GB VRAM. Its minimal surface area means faster setup and tighter autocomplete focus, but you lose agentic edit mode and JetBrains support. If your workflow is VS Code and you just need local autocomplete that works out of the box, Twinny delivers without the bloat.

✓ Strengths

  • +Tiny config — works out of the box with Ollama running locally
  • +Lower latency than Continue for autocomplete
  • +MIT-licensed, fully open

△ Caveats

  • −No JetBrains support
  • −Fewer features than Continue (no agentic edit mode)

About the Coding agent category

Editor-integrated or CLI agent that edits code via your model.

§ Other coding agent apps
Aider

Best terminal-native coding agent for local models. Qwen 2.5 Coder 32B is its sweet spot.

Tabby

Best self-hosted server for teams. SSO + audit logs make it the IT-friendly pick.

Cline

Best IDE-integrated agent that fully respects 'all local' as a first-class option.

Continue

Best Copilot replacement that defaults to local. Configurable; pair with Qwen 2.5 Coder.

Where to go from here

Stack Builder →

Pre-filled with this app's recommended use case + budget tier. Get the full rig + runtime + model picks.

Back to /apps →

The full directory — filter by category, runtime, OS, privacy posture, or VRAM.

Runtimes (/tools) →

What this app talks to: Ollama, vLLM, llama.cpp, MLX, LM Studio. The upstream layer.

Community benchmarks →

Did this app work for you on a specific rig? Submit the benchmark — it powers the model + hardware pages.