Comparison
AutoGPT vs aideml
Verdict
Pick AutoGPT when license: AutoGPT is Other, aideml is MIT; pick aideml when license: aideml is MIT, AutoGPT is Other.
Markdown twin · AutoGPT alternatives · aideml alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoGPT | aideml |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (70d 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 | 1 low (1 low) As of today · osv@v1 |
Tagline
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- aideml
- AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
Stars
- AutoGPT
- 185k
- aideml
- 1.3k
Forks
- AutoGPT
- 46k
- aideml
- 197
Open issues
- AutoGPT
- 494
- aideml
- 0
Language
- AutoGPT
- Python
- aideml
- Python
Adopt for
- 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.
- aideml
- -
Persona
- AutoGPT
- -
- aideml
- -
Runtime
- AutoGPT
- -
- aideml
- -
License
- AutoGPT
- Other
- aideml
- MIT
Last pushed
- AutoGPT
- Jul 11, 2026
- aideml
- May 2, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- aideml
- AI Agents, LLM Frameworks, Model Training
Trust and health
Maintenance
- AutoGPT
- Very active (96%)
- aideml
- Steady (60%)
Days since push
- AutoGPT
- 0d
- aideml
- 70d
Open issues (now)
- AutoGPT
- 494
- aideml
- 0
Security scan
- AutoGPT
- No lockfile
- aideml
- 1 low (1 low)
Full report
- AutoGPT
- Trust report
- aideml
- Trust report
Choose AutoGPT if…
- License: AutoGPT is Other, aideml is MIT.
- Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, gpt.
- 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.
Choose aideml if…
- License: aideml is MIT, AutoGPT is Other.
- Tags unique to aideml: data-science, autoresearch, code-optimization, automated-machine-learning.
- Also covers Model Training.
- aideml ships Docker support for self-hosted deployment.
When NOT to use aideml
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (WecoAI/aideml) · observed Jul 11, 2026
- GitHub forks (WecoAI/aideml) · observed Jul 11, 2026
- Last push (WecoAI/aideml) · observed May 2, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoGPT 185k · aideml 1.3k (synced Jul 11, 2026).
Common questions
- What is the difference between AutoGPT and aideml?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. aideml: AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over aideml?
- Choose AutoGPT over aideml when License: AutoGPT is Other, aideml is MIT; Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, gpt; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I choose aideml over AutoGPT?
- Choose aideml over AutoGPT when License: aideml is MIT, AutoGPT is Other; Tags unique to aideml: data-science, autoresearch, code-optimization, automated-machine-learning; Also covers Model Training; aideml ships Docker support for self-hosted 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.
- When should I avoid aideml?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is AutoGPT or aideml more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 1,347). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and aideml open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, aideml: MIT).
- Where can I find alternatives to AutoGPT or aideml?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and aideml alternatives (AutoGPT markdown twin, aideml 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, AutoGPT or aideml?
- AutoGPT: Very active. aideml: Steady. 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 AutoGPT and aideml?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; aideml trust report.