RUNLOCALAIv38
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RUNLOCALAI

Operator-grade instrument for local-AI hardware intelligence. Hand-written verdicts. Real benchmarks. Reproducible commands.

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SYS · ONLINEUPTIME · 100%2026 · operator-owned
RUNLOCALAI · v38
← Home·/apps·Coding agent

Continue

Hybrid (offline or cloud)

Open-source autocomplete + chat for VS Code and JetBrains. Local-model-first.

Editorial verdict: “Best Copilot replacement that defaults to local. Configurable; pair with Qwen 2.5 Coder.”

Coding agent
Free
Apache-2.0
★ 4.5 / 5
GitHub ★ 21,000
↗ Homepage↗ GitHub↗ Docs

Compatibility at a glance

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

§ Runtimes supported
ollamaopenai-compatanthropicopenai
§ OS / platform
macoslinuxwindows
§ Hardware + model hint
Minimum VRAM
12 GB
Recommended starter model
Qwen 2.5 Coder 7B Q4_K_M (FIM) + 32B for chat
→ Build the rest of the stack with /stack-builder→ Pick a GPU for this app

What it is

Continue is the open-source rival to Cursor and Copilot. It does autocomplete (FIM with a local code-completion model), inline chat, and edit-via-prompt — all configurable to use Ollama, llama.cpp, or any OpenAI-compatible endpoint. The default config nudges you toward local; cloud is an option, not the default.

✓ Strengths

  • +Single extension covers autocomplete + chat + edit
  • +Excellent local-model defaults
  • +JetBrains support is on par with VS Code

△ Caveats

  • −Autocomplete latency on slower hardware is noticeable (~150-300ms)
  • −Configuration is YAML-heavy

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.

Twinny

Best minimal-surface Copilot-replacement that's been Ollama-native since day one.

Cline

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

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.