Home/Compare/AingDesk vs awesome-llm-apps

Comparison

AingDesk vs awesome-llm-apps

Verdict

Pick AingDesk if aingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.

Markdown twin · AingDesk alternatives · awesome-llm-apps alternatives

GraphCanon updated Sep 20, 2026

8views this month

AingDesk logo

AingDesk

aingdesk/AingDesk

2.5kpushed Jun 4, 2026
vs
awesome-llm-apps logo

awesome-llm-apps

Shubhamsaboo/awesome-llm-apps

136kpushed Sep 2, 2026

Trust & integrity

SignalAingDeskawesome-llm-apps
Maintenance
Slowing (107d since push)
As of Sep 20, 2026 · github_public_v1
Very active (4d since push)
As of Sep 7, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 7, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

AingDesk
A simple and easy-to-use AI assistant
awesome-llm-apps
Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.

Stars

AingDesk
2.5k
awesome-llm-apps
136k

Forks

AingDesk
287
awesome-llm-apps
20k

Open issues

AingDesk
72
awesome-llm-apps
10

Language

AingDesk
TypeScript
awesome-llm-apps
Python

Adopt for

AingDesk
AingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities.
awesome-llm-apps
awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.

Persona

AingDesk
-
awesome-llm-apps
-

Runtime

AingDesk
-
awesome-llm-apps
-

License

AingDesk
MIT
awesome-llm-apps
The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.

Last pushed

AingDesk
Jun 4, 2026
awesome-llm-apps
Sep 2, 2026

Categories

AingDesk
AI Agents, Data & Retrieval
awesome-llm-apps
AI Agents, Data & Retrieval

Trust and health

Maintenance

AingDesk
Slowing (36%)
awesome-llm-apps
Very active (96%)

Days since push

AingDesk
107d
awesome-llm-apps
4d

Open issues (now)

AingDesk
72
awesome-llm-apps
10

Stars delta

AingDesk
+3 (30d)
awesome-llm-apps
+5.2k (30d)

Open issues delta

AingDesk
+1 (30d)
awesome-llm-apps
-3 (30d)

Full report

AingDesk
Trust report
awesome-llm-apps
Trust report

Choose AingDesk if…

  • AingDesk is primarily TypeScript; awesome-llm-apps is Python.
  • License: AingDesk is MIT, awesome-llm-apps is Apache-2.0.
  • Tags unique to AingDesk: deepseek, electron, llm, localai.
  • AingDesk ships an MCP server manifest.
  • - When looking for an easy-to-use tool with minimal learning curve for deploying AI models locally through AingDesk's one-click setup.

When NOT to use AingDesk

  • - Avoid using it if advanced customizations or a higher level of flexibility in setup is required since its features are aimed at simple use cases.
  • - If server-side deployment needs to be handled without Docker, as its documentation primarily revolves around this container technology which might not suit users unfamiliar with Docker.

Choose awesome-llm-apps if…

  • awesome-llm-apps is primarily Python; AingDesk is TypeScript.
  • License: awesome-llm-apps is Apache-2.0, AingDesk is MIT.
  • Pricing: Free with open-source licensing, but commercial exploitation is allowed..
  • Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
  • When you need quick implementations of various real-world use cases for AI Agents and RAG.

When NOT to use awesome-llm-apps

  • If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
  • When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AingDesk 2.5k · awesome-llm-apps 136k (synced Sep 20, 2026).

Common questions

What is the difference between AingDesk and awesome-llm-apps?
AingDesk: A simple and easy-to-use AI assistant. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
When should I choose AingDesk over awesome-llm-apps?
Choose AingDesk over awesome-llm-apps when AingDesk is primarily TypeScript; awesome-llm-apps is Python; License: AingDesk is MIT, awesome-llm-apps is Apache-2.0; Tags unique to AingDesk: deepseek, electron, llm, localai; AingDesk ships an MCP server manifest; - When looking for an easy-to-use tool with minimal learning curve for deploying AI models locally through AingDesk's one-click setup.
When should I choose awesome-llm-apps over AingDesk?
Choose awesome-llm-apps over AingDesk when awesome-llm-apps is primarily Python; AingDesk is TypeScript; License: awesome-llm-apps is Apache-2.0, AingDesk is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.
When should I avoid AingDesk?
- Avoid using it if advanced customizations or a higher level of flexibility in setup is required since its features are aimed at simple use cases. - If server-side deployment needs to be handled without Docker, as its documentation primarily revolves around this container technology which might not suit users unfamiliar with Docker.
When should I avoid awesome-llm-apps?
If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Is AingDesk or awesome-llm-apps more popular on GitHub?
awesome-llm-apps has more GitHub stars (136,444 vs 2,536). Stars measure visibility, not whether either tool fits your constraints.
Are AingDesk and awesome-llm-apps open source?
Yes - both are open-source projects on GitHub (AingDesk: MIT, awesome-llm-apps: Apache-2.0).
Where can I find alternatives to AingDesk or awesome-llm-apps?
GraphCanon lists graph-backed alternatives at AingDesk alternatives and awesome-llm-apps alternatives (AingDesk markdown twin, awesome-llm-apps markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, AingDesk or awesome-llm-apps?
AingDesk: Slowing. awesome-llm-apps: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for AingDesk and awesome-llm-apps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AingDesk trust report; awesome-llm-apps trust report.

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