Comparison
DB-GPT vs AutoGPT
Verdict
Pick DB-GPT if dB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning; pick AutoGPT if 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.
Markdown twin · DB-GPT alternatives · AutoGPT alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | DB-GPT | AutoGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 3d · 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
- DB-GPT
- open-source agentic AI data assistant for the next generation of AI + Data products
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- DB-GPT
- 20k
- AutoGPT
- 187k
Forks
- DB-GPT
- 2.9k
- AutoGPT
- 46k
Open issues
- DB-GPT
- 428
- AutoGPT
- 517
Language
- DB-GPT
- Python
- AutoGPT
- Python
Adopt for
- DB-GPT
- DB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning.
- 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
- -
- AutoGPT
- -
Runtime
- DB-GPT
- -
- AutoGPT
- -
License
- DB-GPT
- MIT
- AutoGPT
- Other
Last pushed
- DB-GPT
- Aug 17, 2026
- AutoGPT
- Aug 15, 2026
Categories
- DB-GPT
- Data & Retrieval, LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- DB-GPT
- 428
- AutoGPT
- 517
Stars delta
- DB-GPT
- +239 (30d)
- AutoGPT
- +1.0k (30d)
Open issues delta
- DB-GPT
- -5 (30d)
- AutoGPT
- +19 (30d)
Full report
- DB-GPT
- Trust report
- AutoGPT
- Trust report
Typed relationship
DB-GPT alternative AutoGPTDB-GPT and AutoGPT both focus on building and running AI agents, serving similar purposes but likely through different methodologies or features.
Choose DB-GPT if…
- License: DB-GPT is MIT, AutoGPT is Other.
- DB-GPT and AutoGPT both focus on building and running AI agents, serving similar purposes but likely through different methodologies or features.
- Tags unique to DB-GPT: bgi, database, deepseek.
- Also covers Data & Retrieval.
- DB-GPT ships Docker support for self-hosted deployment.
- - You need a tool that can handle complex data processing and task automation using AI.
When NOT to use DB-GPT
- - You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems.
- - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon.
- - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.
Choose AutoGPT if…
- License: AutoGPT is Other, DB-GPT is MIT.
- DB-GPT and AutoGPT both focus on building and running AI agents, serving similar purposes but likely through different methodologies or features.
- Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents.
- 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) · observed Aug 18, 2026
- GitHub forks (eosphoros-ai/DB-GPT) · observed Aug 18, 2026
- Last push (eosphoros-ai/DB-GPT) · observed Aug 17, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Aug 15, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DB-GPT 20k · AutoGPT 187k (synced Aug 18, 2026).
Common questions
- What is the difference between DB-GPT and AutoGPT?
- DB-GPT: open-source agentic AI data assistant for the next generation of AI + Data products. 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 over AutoGPT?
- Choose DB-GPT over AutoGPT when License: DB-GPT is MIT, AutoGPT is Other; DB-GPT and AutoGPT both focus on building and running AI agents, serving similar purposes but likely through different methodologies or features; Tags unique to DB-GPT: bgi, database, deepseek; Also covers Data & Retrieval; DB-GPT ships Docker support for self-hosted deployment; - You need a tool that can handle complex data processing and task automation using AI.
- When should I choose AutoGPT over DB-GPT?
- Choose AutoGPT over DB-GPT when License: AutoGPT is Other, DB-GPT is MIT; DB-GPT and AutoGPT both focus on building and running AI agents, serving similar purposes but likely through different methodologies or features; Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents; 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?
- - You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems. - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon. - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.
- 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 or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 19,740). Stars measure visibility, not whether either tool fits your constraints.
- Are DB-GPT and AutoGPT open source?
- Yes - both are open-source projects on GitHub (DB-GPT: MIT, AutoGPT: Other).
- Where can I find alternatives to DB-GPT or AutoGPT?
- GraphCanon lists graph-backed alternatives at DB-GPT alternatives and AutoGPT alternatives (DB-GPT 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 or AutoGPT?
- DB-GPT: Very active. 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 and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DB-GPT trust report; AutoGPT trust report.