Home/Compare/last_layer vs AutoGPT

Comparison

last_layer vs AutoGPT

Verdict

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

Markdown twin · last_layer alternatives · AutoGPT alternatives

GraphCanon updated today

last_layer logo

last_layer

arekusandr/last_layer

129pushed Jul 26, 2024
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

Signallast_layerAutoGPT
Maintenance
Dormant (719d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
Published findings
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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

last_layer
Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

last_layer
129
AutoGPT
185k

Forks

last_layer
4
AutoGPT
46k

Open issues

last_layer
13
AutoGPT
494

Language

last_layer
Python
AutoGPT
Python

Adopt for

last_layer
-
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

last_layer
-
AutoGPT
-

Runtime

last_layer
-
AutoGPT
-

License

last_layer
MIT
AutoGPT
Other

Last pushed

last_layer
Jul 26, 2024
AutoGPT
Jul 11, 2026

Categories

last_layer
Computer Vision, LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

last_layer
Dormant (18%)
AutoGPT
Very active (96%)

Days since push

last_layer
719d
AutoGPT
0d

Open issues (now)

last_layer
13
AutoGPT
494

Owner type

last_layer
User
AutoGPT
Organization

OSV dependency advisories

last_layer
Published findings
AutoGPT
No lockfile (source not queried)

Full report

last_layer
Trust report

Choose last_layer if…

  • License: last_layer is MIT, AutoGPT is Other.
  • Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard.
  • Also covers Computer Vision.

When NOT to use last_layer

  • Last GitHub push was 719 days ago (dormant maintenance, Jul 26, 2024). Validate activity before betting a new project on last_layer.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose AutoGPT if…

  • License: AutoGPT is Other, last_layer is MIT.
  • Tags unique to AutoGPT: agentic-ai, agents, 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: last_layer 129 · AutoGPT 185k (synced Jul 15, 2026).

Common questions

What is the difference between last_layer and AutoGPT?
last_layer: Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️. 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 last_layer over AutoGPT?
Choose last_layer over AutoGPT when License: last_layer is MIT, AutoGPT is Other; Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard; Also covers Computer Vision.
When should I choose AutoGPT over last_layer?
Choose AutoGPT over last_layer when License: AutoGPT is Other, last_layer is MIT; Tags unique to AutoGPT: agentic-ai, agents, 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 last_layer?
Last GitHub push was 719 days ago (dormant maintenance, Jul 26, 2024). Validate activity before betting a new project on last_layer. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 last_layer or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 129). Stars measure visibility, not whether either tool fits your constraints.
Are last_layer and AutoGPT open source?
Yes - both are open-source projects on GitHub (last_layer: MIT, AutoGPT: Other).
Where can I find alternatives to last_layer or AutoGPT?
GraphCanon lists graph-backed alternatives at last_layer alternatives and AutoGPT alternatives (last_layer 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, last_layer or AutoGPT?
last_layer: 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 last_layer and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: last_layer trust report; AutoGPT trust report.

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