Home/Compare/ReNeLLM vs AutoGPT

Comparison

ReNeLLM vs AutoGPT

Verdict

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

Markdown twin · ReNeLLM alternatives · AutoGPT alternatives

GraphCanon updated today

ReNeLLM logo

ReNeLLM

NJUNLP/ReNeLLM

163pushed Sep 2, 2025
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalReNeLLMAutoGPT
Maintenance
Slowing (312d 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)
73 low (73 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

ReNeLLM
The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

ReNeLLM
163
AutoGPT
185k

Forks

ReNeLLM
17
AutoGPT
46k

Open issues

ReNeLLM
0
AutoGPT
494

Language

ReNeLLM
Python
AutoGPT
Python

Adopt for

ReNeLLM
-
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

ReNeLLM
-
AutoGPT
-

Runtime

ReNeLLM
-
AutoGPT
-

License

ReNeLLM
MIT
AutoGPT
Other

Last pushed

ReNeLLM
Sep 2, 2025
AutoGPT
Jul 11, 2026

Categories

ReNeLLM
LLM Frameworks, Vector Databases, Speech & Audio
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

ReNeLLM
Slowing (36%)
AutoGPT
Very active (96%)

Days since push

ReNeLLM
312d
AutoGPT
0d

Open issues (now)

ReNeLLM
0
AutoGPT
494

Security scan

ReNeLLM
73 low (73 low)
AutoGPT
No lockfile

Full report

Choose ReNeLLM if…

  • License: ReNeLLM is MIT, AutoGPT is Other.
  • Tags unique to ReNeLLM: python.
  • Also covers Vector Databases, Speech & Audio.

When NOT to use ReNeLLM

  • Last GitHub push was 312 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Choose AutoGPT if…

  • License: AutoGPT is Other, ReNeLLM is MIT.
  • Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
  • Also covers AI 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 on cards: ReNeLLM 163 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between ReNeLLM and AutoGPT?
ReNeLLM: The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".. 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 ReNeLLM over AutoGPT?
Choose ReNeLLM over AutoGPT when License: ReNeLLM is MIT, AutoGPT is Other; Tags unique to ReNeLLM: python; Also covers Vector Databases, Speech & Audio.
When should I choose AutoGPT over ReNeLLM?
Choose AutoGPT over ReNeLLM when License: AutoGPT is Other, ReNeLLM is MIT; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid ReNeLLM?
Last GitHub push was 312 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 ReNeLLM or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 163). Stars measure visibility, not whether either tool fits your constraints.
Are ReNeLLM and AutoGPT open source?
Yes - both are open-source projects on GitHub (ReNeLLM: MIT, AutoGPT: Other).
Where can I find alternatives to ReNeLLM or AutoGPT?
GraphCanon lists graph-backed alternatives at ReNeLLM alternatives and AutoGPT alternatives (ReNeLLM 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, ReNeLLM or AutoGPT?
ReNeLLM: 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 ReNeLLM and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ReNeLLM trust report; AutoGPT trust report.