Comparison
databerry vs agents
Verdict
Pick databerry if suitable for users looking to develop custom LLM agents without coding expertise; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot.
Markdown twin · databerry alternatives · agents alternatives
GraphCanon updated 6d
Trust & integrity
| Signal | databerry | agents |
|---|---|---|
| Maintenance | Dormant (788d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- databerry
- 3.0k
- agents
- 39k
Forks
- databerry
- 420
- agents
- 4.1k
Open issues
- databerry
- 166
- agents
- 5
Language
- databerry
- -
- agents
- Python
Adopt for
- databerry
- Suitable for users looking to develop custom LLM agents without coding expertise.
- agents
- The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot
Persona
- databerry
- -
- agents
- -
Runtime
- databerry
- -
- agents
- -
License
- databerry
- -
- agents
- MIT
Last pushed
- databerry
- Jun 17, 2024
- agents
- Aug 18, 2026
Categories
- databerry
- AI Agents, Developer Tools
- agents
- AI Agents, Developer Tools
Trust and health
Maintenance
- databerry
- Dormant (18%)
- agents
- Very active (96%)
Days since push
- databerry
- 788d
- agents
- 1d
Open issues (now)
- databerry
- 166
- agents
- 5
Stars delta
- databerry
- +4 (30d)
- agents
- +860 (30d)
Open issues delta
- databerry
- 0 (30d)
- agents
- +2 (30d)
Full report
- databerry
- Trust report
- agents
- 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.
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 agents if…
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments
- More GitHub stars (39k vs 3.0k) - visibility, not fit.
When NOT to use agents
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (gmpetrov/databerry) · observed Aug 15, 2026
- GitHub forks (gmpetrov/databerry) · observed Aug 15, 2026
- Last push (gmpetrov/databerry) · observed Jun 17, 2024
- License file (unknown) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wshobson/agents) · observed Aug 19, 2026
- GitHub forks (wshobson/agents) · observed Aug 19, 2026
- Last push (wshobson/agents) · observed Aug 18, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: databerry 3.0k · agents 39k (synced Aug 15, 2026).
Common questions
- What is the difference between databerry and agents?
- databerry: The no-code platform for building custom LLM Agents. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose databerry over agents?
- Choose databerry over agents 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.
- When should I choose agents over databerry?
- Choose agents over databerry when Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments; More GitHub stars (39k vs 3.0k) - visibility, not fit.
- 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 agents?
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
- Is databerry or agents more popular on GitHub?
- agents has more GitHub stars (38,928 vs 2,965). Stars measure visibility, not whether either tool fits your constraints.
- Are databerry and agents open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to databerry or agents?
- GraphCanon lists graph-backed alternatives at databerry alternatives and agents alternatives (databerry markdown twin, agents 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 agents?
- databerry: Dormant. agents: 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 databerry and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: databerry trust report; agents trust report.