DeepYard

Awesome LLM Apps vs Continue

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Awesome LLM Apps suits teams needing open-source access, cloud focus, and 133,530 GitHub stars in current listing data. Continue suits teams needing open-source access, vscode focus, and 35,580 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
A

Awesome LLM Apps

100K-star collection of LLM apps with agents, RAG, and multi-agent teams

OSSFree
133.5Ktoday95
Visit GitHub
C

Continue

Open-source AI code assistant for any IDE — 32K+ stars

OSSFree
35.6K2d ago393
Visit GitHub
MetricAwesome LLM AppsContinue
GitHub Stars133.5K35.6K
Contributors95393
Last CommitAug 22, 2026Aug 20, 2026
Open Issues14935
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryagentsagents
TrendingNoNo

Choose Awesome LLM Apps if you need

  • • Awesome LLM Apps stands out for Cloud workflows that are not listed for Continue.
  • • Awesome LLM Apps is the stronger pick when Gpt 4 matters because that capability is listed only on its profile.
  • • Awesome LLM Apps shows broader GitHub adoption with 133,530 stars versus 35,580 for Continue.

Choose Continue if you need

  • • Continue stands out for Vscode workflows that are not listed for Awesome LLM Apps.
  • • Continue is the stronger pick when Openai matters because that capability is listed only on its profile.
  • • Continue has a larger visible contributor base (393 vs 95).

Meaningful differences

  • • Workflow emphasis: Awesome LLM Apps highlights Cloud, while Continue highlights Vscode.
  • • GitHub adoption: Awesome LLM Apps shows 133,530 stars versus 35,580 for Continue.
  • • Contributor count: Awesome LLM Apps lists 95 contributors and Continue lists 393.

Shared capabilities

  • • Open Source
  • • Claude
  • • Gemini

Shared Tags

open-source

Only in Awesome LLM Apps

collectionagentsragmulti-agentpythontutorials

Only in Continue

idecode-assistantvscodejetbrainsautocomplete

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

About Awesome LLM Apps

Awesome LLM Apps is the largest curated collection of production-ready LLM applications, spanning AI agents, RAG pipelines, multi-agent teams, voice AI, and MCP integrations. With 100K+ GitHub stars and 80+ working examples using OpenAI, Anthropic, Gemini, and open-source models, it serves as both a learning resource and a template library for building real-world AI applications in Python.

View full listing

About Continue

Continue is the leading open-source AI code assistant that works in VS Code and JetBrains. It connects to any LLM (cloud or local) and provides autocomplete, chat, inline editing, and codebase-aware context. Fully customizable with the ability to add your own context providers, slash commands, and model configurations.

View full listing

Also Compare

Awesome LLM AppsvsBrowser UseAwesome LLM AppsvsCherry StudioAwesome LLM AppsvsClineAwesome LLM AppsvsCodex CLI