Home/Compare/pdfmux vs AutoGPT

Comparison

pdfmux vs AutoGPT

Verdict

Pick pdfmux when license: pdfmux is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, pdfmux is MIT.

Markdown twin · pdfmux alternatives · AutoGPT alternatives

GraphCanon updated today

pdfmux logo

pdfmux

NameetP/pdfmux

74pushed Jul 7, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalpdfmuxAutoGPT
Maintenance
Very active (3d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
1 medium (1 medium)
As of today · mcp_manifest@v1
No lockfile
As of today · none

Tagline

pdfmux
Zero-cost PDF extraction with self-healing and OCR support.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

pdfmux
74
AutoGPT
185k

Forks

pdfmux
12
AutoGPT
46k

Open issues

pdfmux
6
AutoGPT
494

Language

pdfmux
Python
AutoGPT
Python

Adopt for

pdfmux
-
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

pdfmux
-
AutoGPT
-

Runtime

pdfmux
-
AutoGPT
-

License

pdfmux
MIT
AutoGPT
Other

Last pushed

pdfmux
Jul 7, 2026
AutoGPT
Jul 11, 2026

Categories

pdfmux
Model Training, Data & Retrieval
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Days since push

pdfmux
3d
AutoGPT
0d

Open issues (now)

pdfmux
6
AutoGPT
494

Owner type

pdfmux
User
AutoGPT
Organization

Security scan

pdfmux
1 medium (1 medium)
AutoGPT
No lockfile

Full report

Choose pdfmux if…

  • License: pdfmux is MIT, AutoGPT is Other.
  • Tags unique to pdfmux: docling, ocr, pdf-extraction, document-parsing.
  • Also covers Model Training, Data & Retrieval.
  • pdfmux ships Docker support for self-hosted deployment.

When NOT to use pdfmux

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Choose AutoGPT if…

  • License: AutoGPT is Other, pdfmux is MIT.
  • Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai.
  • Also covers AI Agents, 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 on cards: pdfmux 74 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between pdfmux and AutoGPT?
pdfmux: Zero-cost PDF extraction with self-healing and OCR support.. 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 pdfmux over AutoGPT?
Choose pdfmux over AutoGPT when License: pdfmux is MIT, AutoGPT is Other; Tags unique to pdfmux: docling, ocr, pdf-extraction, document-parsing; Also covers Model Training, Data & Retrieval; pdfmux ships Docker support for self-hosted deployment.
When should I choose AutoGPT over pdfmux?
Choose AutoGPT over pdfmux when License: AutoGPT is Other, pdfmux is MIT; Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai; Also covers AI Agents, 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 pdfmux?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
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 pdfmux or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 74). Stars measure visibility, not whether either tool fits your constraints.
Are pdfmux and AutoGPT open source?
Yes - both are open-source projects on GitHub (pdfmux: MIT, AutoGPT: Other).
Where can I find alternatives to pdfmux or AutoGPT?
GraphCanon lists graph-backed alternatives at pdfmux alternatives and AutoGPT alternatives (pdfmux 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, pdfmux or AutoGPT?
pdfmux: 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 pdfmux and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pdfmux trust report; AutoGPT trust report.