Home/Compare/airweave vs awesome-llm-apps

Comparison

airweave vs awesome-llm-apps

Verdict

Pick airweave if airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation; 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 · airweave alternatives · awesome-llm-apps alternatives

GraphCanon updated Sep 20, 2026

8views this month

airweave logo

airweave

airweave-ai/airweave

★ 6.6kpushed Jun 5, 2026
vs
awesome-llm-apps logo

awesome-llm-apps

Shubhamsaboo/awesome-llm-apps

★ 136kpushed Sep 2, 2026

Trust & integrity

Signalairweaveawesome-llm-apps
Maintenance
Archived (104d since push)
As of Sep 18, 2026 · github_public_v1
Very active (4d since push)
As of Sep 7, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 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 Sep 18, 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

airweave
Open-source context retrieval layer for AI agents
awesome-llm-apps
Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.

Stars

airweave
6.6k
awesome-llm-apps
136k

Forks

airweave
819
awesome-llm-apps
20k

Open issues

airweave
105
awesome-llm-apps
10

Language

airweave
Python
awesome-llm-apps
Python

Adopt for

airweave
Airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation.
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

airweave
-
awesome-llm-apps
-

Runtime

airweave
-
awesome-llm-apps
-

License

airweave
MIT License
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

airweave
Jun 5, 2026
awesome-llm-apps
Sep 2, 2026

Categories

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

Trust and health

Maintenance

airweave
Archived (8%)
awesome-llm-apps
Very active (96%)

Days since push

airweave
104d
awesome-llm-apps
4d

Archived on GitHub

airweave
Yes
awesome-llm-apps
No

Open issues (now)

airweave
105
awesome-llm-apps
10

Stars delta

airweave
+5 (30d)
awesome-llm-apps
+5.2k (30d)

Open issues delta

airweave
-14 (30d)
awesome-llm-apps
-3 (30d)

Owner type

airweave
Organization
awesome-llm-apps
User

Full report

airweave
Trust report
awesome-llm-apps
Trust report

Choose airweave if…

  • License: airweave is MIT, awesome-llm-apps is Apache-2.0.
  • Requirements: Requires Python for development and deployment..
  • Tags unique to airweave: agent-infrastructure, ai-infrastructure, context-retrieval, data-connectors.
  • When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors.

When NOT to use airweave

  • If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities.
  • When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect.

Choose awesome-llm-apps if…

  • License: awesome-llm-apps is Apache-2.0, airweave 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: airweave 6.6k · awesome-llm-apps 136k (synced Sep 20, 2026).

Common questions

What is the difference between airweave and awesome-llm-apps?
airweave: Open-source context retrieval layer for AI agents. 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 airweave over awesome-llm-apps?
Choose airweave over awesome-llm-apps when License: airweave is MIT, awesome-llm-apps is Apache-2.0; Requirements: Requires Python for development and deployment.; Tags unique to airweave: agent-infrastructure, ai-infrastructure, context-retrieval, data-connectors; When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors.
When should I choose awesome-llm-apps over airweave?
Choose awesome-llm-apps over airweave when License: awesome-llm-apps is Apache-2.0, airweave 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 airweave?
If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities. When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect.
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 airweave or awesome-llm-apps more popular on GitHub?
awesome-llm-apps has more GitHub stars (136,444 vs 6,563). Stars measure visibility, not whether either tool fits your constraints.
Are airweave and awesome-llm-apps open source?
Yes - both are open-source projects on GitHub (airweave: MIT, awesome-llm-apps: Apache-2.0).
Where can I find alternatives to airweave or awesome-llm-apps?
GraphCanon lists graph-backed alternatives at airweave alternatives and awesome-llm-apps alternatives (airweave 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, airweave or awesome-llm-apps?
airweave: Archived. 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 airweave and awesome-llm-apps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airweave trust report; awesome-llm-apps trust report.

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