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 platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Markdown twin · DB-GPT alternatives · AutoGPT alternatives
GraphCanon updated Sep 20, 2026
14views this month
vs
Trust & integrity
| Signal | DB-GPT | AutoGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- DB-GPT
- open-source agentic AI data assistant for the next generation of AI + Data products
- AutoGPT
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- DB-GPT
- 20k
- AutoGPT
- 187k
Forks
- DB-GPT
- 2.9k
- AutoGPT
- 46k
Open issues
- DB-GPT
- 428
- AutoGPT
- 593
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 platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- DB-GPT
- -
- AutoGPT
- -
Runtime
- DB-GPT
- -
- AutoGPT
- -
License
- DB-GPT
- MIT
- AutoGPT
- AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all
Last pushed
- DB-GPT
- Aug 17, 2026
- AutoGPT
- Sep 18, 2026
Categories
- DB-GPT
- Data & Retrieval, LLM Frameworks
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- DB-GPT
- 428
- AutoGPT
- 593
Stars delta
- DB-GPT
- +239 (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- DB-GPT
- -5 (30d)
- AutoGPT
- +76 (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, llm.
- Also covers Data & Retrieval, LLM Frameworks.
- 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, Developer Tools.
- When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When NOT to use AutoGPT
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
- When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
- If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
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 Sep 20, 2026
- GitHub forks (eosphoros-ai/DB-GPT) · observed Sep 20, 2026
- Last push (eosphoros-ai/DB-GPT) · observed Aug 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: DB-GPT 20k · AutoGPT 187k (synced Sep 20, 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: Accessible AI for everyone, providing tools for focus on what matters. 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, llm; Also covers Data & Retrieval, LLM Frameworks; 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, Developer Tools; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
- 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?
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
- Is DB-GPT or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (187,424 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.