Comparison
aqueduct vs AutoGPT
Verdict
Pick aqueduct when aqueduct is primarily Go; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; aqueduct is Go.
Markdown twin · aqueduct alternatives · AutoGPT alternatives
GraphCanon updated today
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Trust & integrity
| Signal | aqueduct | AutoGPT |
|---|---|---|
| Maintenance | Dormant (1130d since push) As of today · github_public_v1 | Very active (0d 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 | No lockfile As of today · none |
Tagline
- aqueduct
- Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- aqueduct
- 517
- AutoGPT
- 185k
Forks
- aqueduct
- 20
- AutoGPT
- 46k
Open issues
- aqueduct
- 11
- AutoGPT
- 494
Language
- aqueduct
- Go
- AutoGPT
- Python
Adopt for
- aqueduct
- -
- 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
- aqueduct
- -
- AutoGPT
- -
Runtime
- aqueduct
- -
- AutoGPT
- -
License
- aqueduct
- Apache-2.0
- AutoGPT
- Other
Last pushed
- aqueduct
- Jun 7, 2023
- AutoGPT
- Jul 11, 2026
Categories
- aqueduct
- LLM Frameworks, AI Agents, Model Training
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- aqueduct
- Dormant (18%)
- AutoGPT
- Very active (96%)
Days since push
- aqueduct
- 1130d
- AutoGPT
- 0d
Open issues (now)
- aqueduct
- 11
- AutoGPT
- 494
Full report
- aqueduct
- Trust report
- AutoGPT
- Trust report
Choose aqueduct if…
- aqueduct is primarily Go; AutoGPT is Python.
- License: aqueduct is Apache-2.0, AutoGPT is Other.
- Tags unique to aqueduct: data-science, ml, llms, machine-learning.
- Also covers Model Training.
When NOT to use aqueduct
- Last GitHub push was 1130 days ago (dormant maintenance, Jun 7, 2023). Validate activity before betting a new project on aqueduct.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose AutoGPT if…
- AutoGPT is primarily Python; aqueduct is Go.
- License: AutoGPT is Other, aqueduct is Apache-2.0.
- Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, autonomous-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 (RunLLM/aqueduct) · observed Jul 11, 2026
- GitHub forks (RunLLM/aqueduct) · observed Jul 11, 2026
- Last push (RunLLM/aqueduct) · observed Jun 7, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: aqueduct 517 · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between aqueduct and AutoGPT?
- aqueduct: Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.. 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 aqueduct over AutoGPT?
- Choose aqueduct over AutoGPT when aqueduct is primarily Go; AutoGPT is Python; License: aqueduct is Apache-2.0, AutoGPT is Other; Tags unique to aqueduct: data-science, ml, llms, machine-learning; Also covers Model Training.
- When should I choose AutoGPT over aqueduct?
- Choose AutoGPT over aqueduct when AutoGPT is primarily Python; aqueduct is Go; License: AutoGPT is Other, aqueduct is Apache-2.0; Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid aqueduct?
- Last GitHub push was 1130 days ago (dormant maintenance, Jun 7, 2023). Validate activity before betting a new project on aqueduct. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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 aqueduct or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 517). Stars measure visibility, not whether either tool fits your constraints.
- Are aqueduct and AutoGPT open source?
- Yes - both are open-source projects on GitHub (aqueduct: Apache-2.0, AutoGPT: Other).
- Where can I find alternatives to aqueduct or AutoGPT?
- GraphCanon lists graph-backed alternatives at aqueduct alternatives and AutoGPT alternatives (aqueduct 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, aqueduct or AutoGPT?
- aqueduct: Dormant. 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 aqueduct and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aqueduct trust report; AutoGPT trust report.