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 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 · AutoAgent alternatives · AutoGPT alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | AutoAgent | AutoGPT |
|---|---|---|
| Maintenance | Slowing (307d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 4d · 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
- AutoAgent
- Fully-Automated and Zero-Code LLM Agent Framework
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- AutoAgent
- 9.7k
- AutoGPT
- 187k
Forks
- AutoAgent
- 1.4k
- AutoGPT
- 46k
Open issues
- AutoAgent
- 68
- AutoGPT
- 517
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 Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Persona
- AutoAgent
- -
- AutoGPT
- -
Runtime
- AutoAgent
- -
- AutoGPT
- -
License
- AutoAgent
- MIT
- AutoGPT
- Other
Last pushed
- AutoAgent
- Oct 16, 2025
- AutoGPT
- Aug 15, 2026
Categories
- AutoAgent
- AI Agents
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- AutoAgent
- Slowing (36%)
- AutoGPT
- Very active (96%)
Days since push
- AutoAgent
- 307d
- AutoGPT
- 0d
Open issues (now)
- AutoAgent
- 68
- AutoGPT
- 517
Stars delta
- AutoAgent
- +242 (30d)
- AutoGPT
- +1.0k (30d)
Open issues delta
- AutoAgent
- -1 (30d)
- AutoGPT
- +19 (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 LLM Frameworks.
- 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 (HKUDS/AutoAgent) · observed Aug 19, 2026
- GitHub forks (HKUDS/AutoAgent) · observed Aug 19, 2026
- Last push (HKUDS/AutoAgent) · observed Oct 16, 2025
- License file (MIT) · observed Aug 19, 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: AutoAgent 9.7k · AutoGPT 187k (synced Aug 19, 2026).
Common questions
- What is the difference between AutoAgent and AutoGPT?
- AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. 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 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 LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- 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?
- 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 AutoAgent or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 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.