Home/Compare/AutoGPT vs langchain-hs

Comparison

AutoGPT vs langchain-hs

Verdict

Pick AutoGPT when autoGPT is primarily Python; langchain-hs is Haskell; pick langchain-hs when langchain-hs is primarily Haskell; AutoGPT is Python.

Markdown twin · AutoGPT alternatives · langchain-hs alternatives

GraphCanon updated today

AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026
vs
langchain-hs logo

langchain-hs

tusharad/langchain-hs

52pushed Jun 28, 2026

Trust & integrity

SignalAutoGPTlangchain-hs
Maintenance
Very active (0d since push)
As of today · github_public_v1
Active (13d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.
langchain-hs
Haskell implementation of LangChain

Stars

AutoGPT
185k
langchain-hs
52

Forks

AutoGPT
46k
langchain-hs
7

Open issues

AutoGPT
494
langchain-hs
2

Language

AutoGPT
Python
langchain-hs
Haskell

Adopt for

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.
langchain-hs
-

Persona

AutoGPT
-
langchain-hs
-

Runtime

AutoGPT
-
langchain-hs
-

License

AutoGPT
Other
langchain-hs
MIT

Last pushed

AutoGPT
Jul 11, 2026
langchain-hs
Jun 28, 2026

Categories

AutoGPT
AI Agents, LLM Frameworks
langchain-hs
LLM Frameworks

Trust and health

Maintenance

AutoGPT
Very active (96%)
langchain-hs
Active (82%)

Days since push

AutoGPT
0d
langchain-hs
13d

Open issues (now)

AutoGPT
494
langchain-hs
2

Owner type

AutoGPT
Organization
langchain-hs
User

Full report

langchain-hs
Trust report

Choose AutoGPT if…

  • AutoGPT is primarily Python; langchain-hs is Haskell.
  • License: AutoGPT is Other, langchain-hs 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.

Choose langchain-hs if…

  • langchain-hs is primarily Haskell; AutoGPT is Python.
  • License: langchain-hs is MIT, AutoGPT is Other.
  • Tags unique to langchain-hs: haskell.

When NOT to use langchain-hs

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: AutoGPT 185k · langchain-hs 52 (synced Jul 11, 2026).

Common questions

What is the difference between AutoGPT and langchain-hs?
AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories.
When should I choose AutoGPT over langchain-hs?
Choose AutoGPT over langchain-hs when AutoGPT is primarily Python; langchain-hs is Haskell; License: AutoGPT is Other, langchain-hs 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 choose langchain-hs over AutoGPT?
Choose langchain-hs over AutoGPT when langchain-hs is primarily Haskell; AutoGPT is Python; License: langchain-hs is MIT, AutoGPT is Other; Tags unique to langchain-hs: haskell.
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.
When should I avoid langchain-hs?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is AutoGPT or langchain-hs more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 52). Stars measure visibility, not whether either tool fits your constraints.
Are AutoGPT and langchain-hs open source?
Yes - both are open-source projects on GitHub (AutoGPT: Other, langchain-hs: MIT).
Where can I find alternatives to AutoGPT or langchain-hs?
GraphCanon lists graph-backed alternatives at AutoGPT alternatives and langchain-hs alternatives (AutoGPT markdown twin, langchain-hs 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, AutoGPT or langchain-hs?
AutoGPT: Very active. langchain-hs: 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 AutoGPT and langchain-hs?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; langchain-hs trust report.