Home/Compare/databerry vs beehive

Comparison

databerry vs beehive

Verdict

Pick databerry if suitable for users looking to develop custom LLM agents without coding expertise; pick beehive if beehive, an event-driven and agent-based automation framework in Go under AGPL-3.0 license, supports complex workflows via Docker and Ansible.

Markdown twin · databerry alternatives · beehive alternatives

GraphCanon updated Sep 20, 2026

databerry logo

databerry

gmpetrov/databerry

3.0kpushed Jun 17, 2024
vs
beehive logo

beehive

muesli/beehive

6.5kpushed Feb 25, 2023

Trust & integrity

Signaldataberrybeehive
Maintenance
Dormant (824d since push)
As of Sep 20, 2026 · github_public_v1
Dormant (1298d since push)
As of Sep 15, 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 15, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
Published findings
As of Jul 15, 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

databerry
The no-code platform for building custom LLM Agents
beehive
A flexible event/agent & automation system with lots of bees

Stars

databerry
3.0k
beehive
6.5k

Forks

databerry
415
beehive
327

Open issues

databerry
166
beehive
119

Language

databerry
-
beehive
Go

Adopt for

databerry
Suitable for users looking to develop custom LLM agents without coding expertise.
beehive
Beehive, an event-driven and agent-based automation framework in Go under AGPL-3.0 license, supports complex workflows via Docker and Ansible.

Persona

databerry
-
beehive
-

Runtime

databerry
-
beehive
-

License

databerry
-
beehive
AGPL-3.0

Last pushed

databerry
Jun 17, 2024
beehive
Feb 25, 2023

Categories

databerry
AI Agents, Developer Tools
beehive
AI Agents, Developer Tools

Trust and health

Days since push

databerry
824d
beehive
1298d

Open issues (now)

databerry
166
beehive
119

Stars delta

databerry
+1 (30d)
beehive
+5 (30d)

OSV dependency advisories

databerry
No lockfile (source not queried)
beehive
Published findings

Full report

databerry
Trust report

Choose databerry if…

  • Tags unique to databerry: ai, aichatbot, chatbot, llm.
  • When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities.
  • More recently updated (last pushed Jun 17, 2024).

When NOT to use databerry

  • If you are a seasoned developer looking for customizable control over agent functions beyond no-code capabilities.
  • In scenarios requiring integration with complex, non-standard APIs or systems that cannot be managed on a no-code platform.

Choose beehive if…

  • Tags unique to beehive: automation, event-driven-architecture, workflow-management.
  • beehive ships Docker support for self-hosted deployment.
  • You prioritize Go for development and need a flexible tool supporting Docker and Ansible deployment.

When NOT to use beehive

  • If your project demands proprietary licensing, avoiding AGPL-3.0 is essential.
  • For projects requiring languages other than Go for automation frameworks.

Explore

Sources

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

GitHub stars on cards: databerry 3.0k · beehive 6.5k (synced Sep 20, 2026).

Common questions

What is the difference between databerry and beehive?
databerry: The no-code platform for building custom LLM Agents. beehive: A flexible event/agent & automation system with lots of bees. See the comparison table for live GitHub stats and shared categories.
When should I choose databerry over beehive?
Choose databerry over beehive when Tags unique to databerry: ai, aichatbot, chatbot, llm; When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities; More recently updated (last pushed Jun 17, 2024).
When should I choose beehive over databerry?
Choose beehive over databerry when Tags unique to beehive: automation, event-driven-architecture, workflow-management; beehive ships Docker support for self-hosted deployment; You prioritize Go for development and need a flexible tool supporting Docker and Ansible deployment.
When should I avoid databerry?
If you are a seasoned developer looking for customizable control over agent functions beyond no-code capabilities. In scenarios requiring integration with complex, non-standard APIs or systems that cannot be managed on a no-code platform.
When should I avoid beehive?
If your project demands proprietary licensing, avoiding AGPL-3.0 is essential. For projects requiring languages other than Go for automation frameworks.
Is databerry or beehive more popular on GitHub?
beehive has more GitHub stars (6,490 vs 2,966). Stars measure visibility, not whether either tool fits your constraints.
Are databerry and beehive open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to databerry or beehive?
GraphCanon lists graph-backed alternatives at databerry alternatives and beehive alternatives (databerry markdown twin, beehive 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, databerry or beehive?
databerry: Dormant. beehive: Dormant. 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 databerry and beehive?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: databerry trust report; beehive trust report.

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