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Comparison

llm.ts vs AutoGPT

Verdict

Pick llm.ts when llm.ts is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; llm.ts is TypeScript.

Markdown twin · llm.ts alternatives · AutoGPT alternatives

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llm.ts logo

llm.ts

r2d4/llm.ts

★ 213pushed May 9, 2023
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 185kpushed Jul 11, 2026

Trust & integrity

Signalllm.tsAutoGPT
Maintenance
Dormant (1158d 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)
No lockfile
As of today · none
No lockfile
As of today · none
llm.ts trust reportAutoGPT trust reportTrust methodology

Tagline

llm.ts
Call any LLM with a single API. Zero dependencies.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

llm.ts
213
AutoGPT
185k

Forks

llm.ts
9
AutoGPT
46k

Open issues

llm.ts
2
AutoGPT
494

Language

llm.ts
TypeScript
AutoGPT
Python

Adopt for

llm.ts
-
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.ts
-
AutoGPT
-

Runtime

llm.ts
-
AutoGPT
-

License

llm.ts
MIT
AutoGPT
Other

Last pushed

llm.ts
May 9, 2023
AutoGPT
Jul 11, 2026

Categories

llm.ts
LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

llm.ts
Dormant (18%)
AutoGPT
Very active (96%)

Days since push

llm.ts
1158d
AutoGPT
0d

Open issues (now)

llm.ts
2
AutoGPT
494

Owner type

llm.ts
User
AutoGPT
Organization

Full report

llm.ts
Trust report
AutoGPT
Trust report

Choose llm.ts if…

  • llm.ts is primarily TypeScript; AutoGPT is Python.
  • License: llm.ts is MIT, AutoGPT is Other.
  • Tags unique to llm.ts: llms, openai, typescript, huggingface.

When NOT to use llm.ts

  • Last GitHub push was 1159 days ago (dormant maintenance, May 9, 2023). Validate activity before betting a new project on llm.ts.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose AutoGPT if…

  • AutoGPT is primarily Python; llm.ts is TypeScript.
  • License: AutoGPT is Other, llm.ts is MIT.
  • Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, autonomous-agents.
  • 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.
GitHubDetails

Explore

llm.ts trust report →AutoGPT trust report →LLM Frameworks category →AI Agents 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.ts 213 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between llm.ts and AutoGPT?
llm.ts: Call any LLM with a single API. Zero dependencies.. 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.ts over AutoGPT?
Choose llm.ts over AutoGPT when llm.ts is primarily TypeScript; AutoGPT is Python; License: llm.ts is MIT, AutoGPT is Other; Tags unique to llm.ts: llms, openai, typescript, huggingface.
When should I choose AutoGPT over llm.ts?
Choose AutoGPT over llm.ts when AutoGPT is primarily Python; llm.ts is TypeScript; License: AutoGPT is Other, llm.ts is MIT; Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, autonomous-agents; 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 llm.ts?
Last GitHub push was 1159 days ago (dormant maintenance, May 9, 2023). Validate activity before betting a new project on llm.ts. 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.ts or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 213). Stars measure visibility, not whether either tool fits your constraints.
Are llm.ts and AutoGPT open source?
Yes - both are open-source projects on GitHub (llm.ts: MIT, AutoGPT: Other).
Where can I find alternatives to llm.ts or AutoGPT?
GraphCanon lists graph-backed alternatives at llm.ts alternatives and AutoGPT alternatives (llm.ts 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.ts or AutoGPT?
llm.ts: 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.ts and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm.ts trust report; AutoGPT trust report.