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Comparison

llm_agents vs AutoGPT

Verdict

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

Markdown twin · llm_agents alternatives · AutoGPT alternatives

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llm_agents logo

llm_agents

mpaepper/llm_agents

★ 1.1kpushed Jun 23, 2025
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 185kpushed Jul 11, 2026

Trust & integrity

Signalllm_agentsAutoGPT
Maintenance
Dormant (382d 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)
32 low (32 low)
As of today · osv@v1
No lockfile
As of today · none
llm_agents trust reportAutoGPT trust reportTrust methodology

Tagline

llm_agents
Build agents which are controlled by LLMs
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

llm_agents
1.1k
AutoGPT
185k

Forks

llm_agents
85
AutoGPT
46k

Open issues

llm_agents
3
AutoGPT
494

Language

llm_agents
Python
AutoGPT
Python

Adopt for

llm_agents
-
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

llm_agents
-
AutoGPT
-

Runtime

llm_agents
-
AutoGPT
-

License

llm_agents
MIT
AutoGPT
Other

Last pushed

llm_agents
Jun 23, 2025
AutoGPT
Jul 11, 2026

Categories

llm_agents
AI Agents, LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

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

Days since push

llm_agents
382d
AutoGPT
0d

Open issues (now)

llm_agents
3
AutoGPT
494

Owner type

llm_agents
User
AutoGPT
Organization

Security scan

llm_agents
32 low (32 low)
AutoGPT
No lockfile

Full report

llm_agents
Trust report
AutoGPT
Trust report

Choose llm_agents if…

  • License: llm_agents is MIT, AutoGPT is Other.
  • Tags unique to llm_agents: llms, deep-learning, machine-learning, python.
  • Leaner open-issue backlog (3).

When NOT to use llm_agents

  • Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents.
  • 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.
GitHubDetails

Choose AutoGPT if…

  • License: AutoGPT is Other, llm_agents is MIT.
  • Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
  • 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.
GitHubDetails

Explore

llm_agents trust report →AutoGPT trust report →AI Agents category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: llm_agents 1.1k · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between llm_agents and AutoGPT?
llm_agents: Build agents which are controlled by LLMs. 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 llm_agents over AutoGPT?
Choose llm_agents over AutoGPT when License: llm_agents is MIT, AutoGPT is Other; Tags unique to llm_agents: llms, deep-learning, machine-learning, python; Leaner open-issue backlog (3).
When should I choose AutoGPT over llm_agents?
Choose AutoGPT over llm_agents when License: AutoGPT is Other, llm_agents is MIT; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid llm_agents?
Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. 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.
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 llm_agents or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 1,050). Stars measure visibility, not whether either tool fits your constraints.
Are llm_agents and AutoGPT open source?
Yes - both are open-source projects on GitHub (llm_agents: MIT, AutoGPT: Other).
Where can I find alternatives to llm_agents or AutoGPT?
GraphCanon lists graph-backed alternatives at llm_agents alternatives and AutoGPT alternatives (llm_agents 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, llm_agents or AutoGPT?
llm_agents: 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 llm_agents and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm_agents trust report; AutoGPT trust report.