Comparison
DB-GPT-Hub vs AutoGPT
Verdict
Pick DB-GPT-Hub when license: DB-GPT-Hub is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, DB-GPT-Hub is MIT.
Markdown twin · DB-GPT-Hub alternatives · AutoGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DB-GPT-Hub | AutoGPT |
|---|---|---|
| Maintenance | Dormant (374d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- DB-GPT-Hub
- A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- DB-GPT-Hub
- 2.0k
- AutoGPT
- 185k
Forks
- DB-GPT-Hub
- 250
- AutoGPT
- 46k
Open issues
- DB-GPT-Hub
- 73
- AutoGPT
- 494
Language
- DB-GPT-Hub
- Python
- AutoGPT
- Python
Adopt for
- DB-GPT-Hub
- -
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Persona
- DB-GPT-Hub
- -
- AutoGPT
- -
Runtime
- DB-GPT-Hub
- -
- AutoGPT
- -
License
- DB-GPT-Hub
- MIT
- AutoGPT
- Other
Last pushed
- DB-GPT-Hub
- Jul 2, 2025
- AutoGPT
- Jul 11, 2026
Categories
- DB-GPT-Hub
- LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- DB-GPT-Hub
- Dormant (18%)
- AutoGPT
- Very active (96%)
Days since push
- DB-GPT-Hub
- 374d
- AutoGPT
- 0d
Open issues (now)
- DB-GPT-Hub
- 73
- AutoGPT
- 494
Full report
- DB-GPT-Hub
- Trust report
- AutoGPT
- Trust report
Choose DB-GPT-Hub if…
- License: DB-GPT-Hub is MIT, AutoGPT is Other.
- Tags unique to DB-GPT-Hub: fine-tuning, datasets, hacktoberfest, sql.
- Leaner open-issue backlog (73).
When NOT to use DB-GPT-Hub
- Last GitHub push was 375 days ago (dormant maintenance, Jul 2, 2025). Validate activity before betting a new project on DB-GPT-Hub.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose AutoGPT if…
- License: AutoGPT is Other, DB-GPT-Hub is MIT.
- Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai.
- Also covers AI Agents.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eosphoros-ai/DB-GPT-Hub) · observed Jul 11, 2026
- GitHub forks (eosphoros-ai/DB-GPT-Hub) · observed Jul 11, 2026
- Last push (eosphoros-ai/DB-GPT-Hub) · observed Jul 2, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DB-GPT-Hub 2.0k · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between DB-GPT-Hub and AutoGPT?
- DB-GPT-Hub: A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DB-GPT-Hub over AutoGPT?
- Choose DB-GPT-Hub over AutoGPT when License: DB-GPT-Hub is MIT, AutoGPT is Other; Tags unique to DB-GPT-Hub: fine-tuning, datasets, hacktoberfest, sql; Leaner open-issue backlog (73).
- When should I choose AutoGPT over DB-GPT-Hub?
- Choose AutoGPT over DB-GPT-Hub when License: AutoGPT is Other, DB-GPT-Hub is MIT; Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid DB-GPT-Hub?
- Last GitHub push was 375 days ago (dormant maintenance, Jul 2, 2025). Validate activity before betting a new project on DB-GPT-Hub. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- Is DB-GPT-Hub or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 1,997). Stars measure visibility, not whether either tool fits your constraints.
- Are DB-GPT-Hub and AutoGPT open source?
- Yes - both are open-source projects on GitHub (DB-GPT-Hub: MIT, AutoGPT: Other).
- Where can I find alternatives to DB-GPT-Hub or AutoGPT?
- GraphCanon lists graph-backed alternatives at DB-GPT-Hub alternatives and AutoGPT alternatives (DB-GPT-Hub markdown twin, AutoGPT 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, DB-GPT-Hub or AutoGPT?
- DB-GPT-Hub: Dormant. AutoGPT: 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 DB-GPT-Hub and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DB-GPT-Hub trust report; AutoGPT trust report.