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Comparison

witsy vs llm-app

Verdict

Pick witsy when witsy is primarily TypeScript; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; witsy is TypeScript.

Markdown twin · witsy alternatives · llm-app alternatives

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witsy logo

witsy

Kochava-Studios/witsy

★ 2.0kpushed Apr 23, 2026
vs
llm-app logo

llm-app

pathwaycom/llm-app

★ 59kpushed Jul 5, 2026

Trust & integrity

Signalwitsyllm-app
Maintenance
Steady (82d since push)
As of today · github_public_v1
Very active (5d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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
witsy trust reportllm-app trust reportTrust methodology

Tagline

witsy
Witsy: desktop AI assistant / universal MCP client
llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.

Stars

witsy
2.0k
llm-app
59k

Forks

witsy
165
llm-app
1.4k

Open issues

witsy
55
llm-app
10

Language

witsy
TypeScript
llm-app
Jupyter Notebook

Adopt for

witsy
-
llm-app
llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz

Persona

witsy
-
llm-app
-

Runtime

witsy
-
llm-app
-

License

witsy
AGPL-3.0
llm-app
MIT

Last pushed

witsy
Apr 23, 2026
llm-app
Jul 5, 2026

Categories

witsy
Inference & Serving, LLM Frameworks, Vector Databases
llm-app
Data & Retrieval, LLM Frameworks, Vector Databases

Trust and health

Maintenance

witsy
Steady (60%)
llm-app
Very active (96%)

Days since push

witsy
82d
llm-app
5d

Open issues (now)

witsy
55
llm-app
10

Full report

witsy
Trust report
llm-app
Trust report

Choose witsy if…

  • witsy is primarily TypeScript; llm-app is Jupyter Notebook.
  • License: witsy is AGPL-3.0, llm-app is MIT.
  • Tags unique to witsy: anthropic, deepseek, electron-app, electronjs.
  • Also covers Inference & Serving.
  • witsy ships an MCP server manifest.

When NOT to use witsy

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
GitHubDetails

Choose llm-app if…

  • llm-app is primarily Jupyter Notebook; witsy is TypeScript.
  • License: llm-app is MIT, witsy is AGPL-3.0.
  • Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
  • Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation.
  • Also covers Data & Retrieval.
  • - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.

When NOT to use llm-app

  • - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
  • - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
GitHubDetails

Explore

witsy trust report →llm-app trust report →Inference & Serving category →LLM Frameworks category →Vector Databases category →Data & Retrieval category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: witsy 2.0k · llm-app 59k (synced Jul 15, 2026).

Common questions

What is the difference between witsy and llm-app?
witsy: Witsy: desktop AI assistant / universal MCP client. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
When should I choose witsy over llm-app?
Choose witsy over llm-app when witsy is primarily TypeScript; llm-app is Jupyter Notebook; License: witsy is AGPL-3.0, llm-app is MIT; Tags unique to witsy: anthropic, deepseek, electron-app, electronjs; Also covers Inference & Serving; witsy ships an MCP server manifest.
When should I choose llm-app over witsy?
Choose llm-app over witsy when llm-app is primarily Jupyter Notebook; witsy is TypeScript; License: llm-app is MIT, witsy is AGPL-3.0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers Data & Retrieval; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When should I avoid witsy?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
When should I avoid llm-app?
- You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Is witsy or llm-app more popular on GitHub?
llm-app has more GitHub stars (59,068 vs 1,998). Stars measure visibility, not whether either tool fits your constraints.
Are witsy and llm-app open source?
Yes - both are open-source projects on GitHub (witsy: AGPL-3.0, llm-app: MIT).
Where can I find alternatives to witsy or llm-app?
GraphCanon lists graph-backed alternatives at witsy alternatives and llm-app alternatives (witsy markdown twin, llm-app 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, witsy or llm-app?
witsy: Steady. llm-app: 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 witsy and llm-app?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: witsy trust report; llm-app trust report.

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