Home/Compare/beehive vs awesome-llm-apps

Comparison

beehive vs awesome-llm-apps

Verdict

Pick beehive when beehive is primarily Go; awesome-llm-apps is Python; pick awesome-llm-apps when awesome-llm-apps is primarily Python; beehive is Go.

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

GraphCanon updated today

beehive logo

beehive

muesli/beehive

6.5kpushed Feb 25, 2023
vs
awesome-llm-apps logo

awesome-llm-apps

Shubhamsaboo/awesome-llm-apps

120kpushed Jul 11, 2026

Trust & integrity

Signalbeehiveawesome-llm-apps
Maintenance
Dormant (1236d since push)
As of today · github_public_v1
Very active (3d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
OSV dependency advisories
Published findings
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

Tagline

beehive
A flexible event/agent & automation system with lots of bees 🐝
awesome-llm-apps
Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.

Stars

beehive
6.5k
awesome-llm-apps
120k

Forks

beehive
329
awesome-llm-apps
18k

Open issues

beehive
119
awesome-llm-apps
17

Language

beehive
Go
awesome-llm-apps
Python

Adopt for

beehive
-
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

beehive
-
awesome-llm-apps
-

Runtime

beehive
-
awesome-llm-apps
-

License

beehive
AGPL-3.0
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

beehive
Feb 25, 2023
awesome-llm-apps
Jul 11, 2026

Categories

beehive
AI Agents, Inference & Serving
awesome-llm-apps
AI Agents, Data & Retrieval

Trust and health

Maintenance

beehive
Dormant (18%)
awesome-llm-apps
Very active (96%)

Days since push

beehive
1236d
awesome-llm-apps
3d

Open issues (now)

beehive
119
awesome-llm-apps
17

OSV dependency advisories

beehive
Published findings
awesome-llm-apps
No lockfile (source not queried)

Full report

awesome-llm-apps
Trust report

Choose beehive if…

  • beehive is primarily Go; awesome-llm-apps is Python.
  • License: beehive is AGPL-3.0, awesome-llm-apps is Apache-2.0.
  • Tags unique to beehive: automation, event-driven, go, hacktoberfest.
  • Also covers Inference & Serving.
  • beehive ships Docker support for self-hosted deployment.

When NOT to use beehive

  • Last GitHub push was 1236 days ago (dormant maintenance, Feb 25, 2023). Validate activity before betting a new project on beehive.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose awesome-llm-apps if…

  • awesome-llm-apps is primarily Python; beehive is Go.
  • License: awesome-llm-apps is Apache-2.0, beehive is AGPL-3.0.
  • Pricing: Free with open-source licensing, but commercial exploitation is allowed..
  • Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
  • Also covers Data & Retrieval.
  • 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: beehive 6.5k · awesome-llm-apps 120k (synced Jul 15, 2026).

Common questions

What is the difference between beehive and awesome-llm-apps?
beehive: A flexible event/agent & automation system with lots of bees 🐝. 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 beehive over awesome-llm-apps?
Choose beehive over awesome-llm-apps when beehive is primarily Go; awesome-llm-apps is Python; License: beehive is AGPL-3.0, awesome-llm-apps is Apache-2.0; Tags unique to beehive: automation, event-driven, go, hacktoberfest; Also covers Inference & Serving; beehive ships Docker support for self-hosted deployment.
When should I choose awesome-llm-apps over beehive?
Choose awesome-llm-apps over beehive when awesome-llm-apps is primarily Python; beehive is Go; License: awesome-llm-apps is Apache-2.0, beehive is AGPL-3.0; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
When should I avoid beehive?
Last GitHub push was 1236 days ago (dormant maintenance, Feb 25, 2023). Validate activity before betting a new project on beehive. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 beehive or awesome-llm-apps more popular on GitHub?
awesome-llm-apps has more GitHub stars (119,936 vs 6,476). Stars measure visibility, not whether either tool fits your constraints.
Are beehive and awesome-llm-apps open source?
Yes - both are open-source projects on GitHub (beehive: AGPL-3.0, awesome-llm-apps: Apache-2.0).
Where can I find alternatives to beehive or awesome-llm-apps?
GraphCanon lists graph-backed alternatives at beehive alternatives and awesome-llm-apps alternatives (beehive 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, beehive or awesome-llm-apps?
beehive: Dormant. 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 beehive and awesome-llm-apps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: beehive trust report; awesome-llm-apps trust report.

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