Comparison
AutoAgent vs AutoGPT
Verdict
Pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Markdown twin · AutoAgent alternatives · AutoGPT alternatives
GraphCanon updated Sep 20, 2026
19views this month
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Trust & integrity
| Signal | AutoAgent | AutoGPT |
|---|---|---|
| Maintenance | Slowing (307d since push) As of Aug 19, 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 19, 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
- AutoAgent
- Fully-Automated and Zero-Code LLM Agent Framework
- AutoGPT
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- AutoAgent
- 9.7k
- AutoGPT
- 187k
Forks
- AutoAgent
- 1.4k
- AutoGPT
- 46k
Open issues
- AutoAgent
- 68
- AutoGPT
- 593
Language
- AutoAgent
- Python
- AutoGPT
- Python
Adopt for
- AutoAgent
- AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments
- AutoGPT
- AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- AutoAgent
- -
- AutoGPT
- -
Runtime
- AutoAgent
- -
- AutoGPT
- -
License
- AutoAgent
- 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
- AutoAgent
- Oct 16, 2025
- AutoGPT
- Sep 18, 2026
Categories
- AutoAgent
- AI Agents
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Maintenance
- AutoAgent
- Slowing (36%)
- AutoGPT
- Very active (96%)
Days since push
- AutoAgent
- 307d
- AutoGPT
- 0d
Open issues (now)
- AutoAgent
- 68
- AutoGPT
- 593
Stars delta
- AutoAgent
- +242 (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- AutoAgent
- -1 (30d)
- AutoGPT
- +76 (30d)
Full report
- AutoAgent
- Trust report
- AutoGPT
- Trust report
Typed relationship
AutoAgent alternative AutoGPTBoth AutoAgent and autogpt aim to provide a zero-code framework for building and deploying AI agents.
Choose AutoAgent if…
- License: AutoAgent is MIT, AutoGPT is Other.
- Both AutoAgent and autogpt aim to provide a zero-code framework for building and deploying AI agents.
- Tags unique to AutoAgent: agent, llms.
- Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
When NOT to use AutoAgent
- Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly.
- Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
Choose AutoGPT if…
- License: AutoGPT is Other, AutoAgent is MIT.
- Both AutoAgent and autogpt aim to provide a zero-code framework for building and deploying AI agents.
- Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
- Also covers 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 (HKUDS/AutoAgent) · observed Sep 20, 2026
- GitHub forks (HKUDS/AutoAgent) · observed Sep 20, 2026
- Last push (HKUDS/AutoAgent) · observed Oct 16, 2025
- 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: AutoAgent 9.7k · AutoGPT 187k (synced Sep 20, 2026).
Common questions
- What is the difference between AutoAgent and AutoGPT?
- AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. 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 AutoAgent over AutoGPT?
- Choose AutoAgent over AutoGPT when License: AutoAgent is MIT, AutoGPT is Other; Both AutoAgent and autogpt aim to provide a zero-code framework for building and deploying AI agents; Tags unique to AutoAgent: agent, llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
- When should I choose AutoGPT over AutoAgent?
- Choose AutoGPT over AutoAgent when License: AutoGPT is Other, AutoAgent is MIT; Both AutoAgent and autogpt aim to provide a zero-code framework for building and deploying AI agents; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; Also covers 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 AutoAgent?
- Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
- 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 AutoAgent or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (187,424 vs 9,738). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoAgent and AutoGPT open source?
- Yes - both are open-source projects on GitHub (AutoAgent: MIT, AutoGPT: Other).
- Where can I find alternatives to AutoAgent or AutoGPT?
- GraphCanon lists graph-backed alternatives at AutoAgent alternatives and AutoGPT alternatives (AutoAgent 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, AutoAgent or AutoGPT?
- AutoAgent: Slowing. 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 AutoAgent and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAgent trust report; AutoGPT trust report.