RUNLOCALAIv38
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RUNLOCALAI

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SYS · ONLINEUPTIME · 100%2026 · operator-owned
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 a no-nonsense VS Code extension purpose-built for Ollama. Autocomplete + inline chat + symbol explanation. Smaller surface area than Continue but tighter integration and lower latency for the autocomplete-only use case. Good 'just give me Copilot but local' pick.

✓ 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.