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DATASHEET // CONTINUE-DEV

Continue

Open-source Copilot — VS Code & JetBrains, any model.

OPEN SOURCECPU-CAPABLELocal or cloud
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPI
Visit ContinueUPDATED 2026-05-16 · DIRECT LINK
www.continue.dev/
Continue — preview image

HARDWARE REQUIREMENTS //

Local or cloud · Entry GPU (6–8 GB)

CPU-CAPABLE
Min VRAM
None
Rec. VRAM
8 GB
Min RAM
8 GB
Rec. RAM
16 GB
Disk
2 GB
GPU class
Entry GPU
Apple Silicon ✓CPU-Capable

Plugin itself is light; GPU need depends on which model you point it at.

[ EDITORIAL PICK ]

Why we recommend Continue

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Continue the company changes direction.

  • CPU-capable

    Doesn't require a dedicated GPU — useful on laptops and headless servers.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

Memory guide →

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Easy

    Runs CPU-only — no CUDA / driver gymnastics required.

  • Hardware comfort
    Runs anywhere

    No dedicated GPU required.

  • Ecosystem
    Strong devkit

    Open-source AND ships an API — easy to integrate, possible to host yourself.

  • Verification
    Recent

    Catalogue entry last updated 61 days ago — re-verification due soon.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Continue

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other local llm runners tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Continue.

LIGHTEST HARDWARE //

Transformers

The library every LLM ships against first.

OPEN SOURCE2–24 GB VRAM
BEST FREE OPTION //

llama.cpp

The C++ inference engine powering most local LLMs.

OPEN SOURCECPU-CAPABLE
TOP QUALITY //

Ollama

One-command local LLM runtime.

OPEN SOURCECPU-CAPABLE

What is Continue?

Continue is the open-source autonomy alternative to GitHub Copilot. Plugs into VS Code or JetBrains, supports any model (local Ollama, OpenAI, Anthropic, Mistral) via a YAML config, and provides chat, edit, autocomplete, and an increasingly capable agent mode. Apache 2.0.

Pros & cons

✓ PROS

  • Works with any model — local or remote
  • YAML config is editable, scriptable, version-controllable
  • Strong tab-autocomplete with the right local model

– CONS

  • Autocomplete quality is model-bound — needs a good model to be good
  • Agent mode is still maturing vs Cline / Aider

What's actually free?

Apache 2.0; cloud control plane is optional.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Cline

Agentic coding in VS Code — reads, writes, runs, browses.

OPEN SOURCECLOUD · NO GPU

Aider

Terminal-native AI pair programmer with git awareness.

OPEN SOURCECPU-CAPABLE