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Comparison

langstream vs AutoGPT

Verdict

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

Markdown twin · langstream alternatives · AutoGPT alternatives

GraphCanon updated today

langstream logo

langstream

rogeriochaves/langstream

★ 417pushed Jan 3, 2024
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 185kpushed Jul 11, 2026

Trust & integrity

SignallangstreamAutoGPT
Maintenance
Dormant (919d 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
langstream trust reportAutoGPT trust reportTrust methodology

Tagline

langstream
Build robust LLM applications with true composability 🔗
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

langstream
417
AutoGPT
185k

Forks

langstream
28
AutoGPT
46k

Open issues

langstream
3
AutoGPT
494

Language

langstream
Python
AutoGPT
Python

Adopt for

langstream
-
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

langstream
-
AutoGPT
-

Runtime

langstream
-
AutoGPT
-

License

langstream
MIT
AutoGPT
Other

Last pushed

langstream
Jan 3, 2024
AutoGPT
Jul 11, 2026

Categories

langstream
LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

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

Days since push

langstream
919d
AutoGPT
0d

Open issues (now)

langstream
3
AutoGPT
494

Owner type

langstream
User
AutoGPT
Organization

Full report

langstream
Trust report
AutoGPT
Trust report

Choose langstream if…

  • License: langstream is MIT, AutoGPT is Other.
  • Tags unique to langstream: python.
  • Leaner open-issue backlog (3).

When NOT to use langstream

  • Last GitHub push was 920 days ago (dormant maintenance, Jan 3, 2024). Validate activity before betting a new project on langstream.
  • 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, langstream 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.
GitHubDetails

Explore

langstream 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: langstream 417 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between langstream and AutoGPT?
langstream: Build robust LLM applications with true composability 🔗. 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 langstream over AutoGPT?
Choose langstream over AutoGPT when License: langstream is MIT, AutoGPT is Other; Tags unique to langstream: python; Leaner open-issue backlog (3).
When should I choose AutoGPT over langstream?
Choose AutoGPT over langstream when License: AutoGPT is Other, langstream 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 langstream?
Last GitHub push was 920 days ago (dormant maintenance, Jan 3, 2024). Validate activity before betting a new project on langstream. 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 langstream or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 417). Stars measure visibility, not whether either tool fits your constraints.
Are langstream and AutoGPT open source?
Yes - both are open-source projects on GitHub (langstream: MIT, AutoGPT: Other).
Where can I find alternatives to langstream or AutoGPT?
GraphCanon lists graph-backed alternatives at langstream alternatives and AutoGPT alternatives (langstream 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, langstream or AutoGPT?
langstream: 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 langstream and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langstream trust report; AutoGPT trust report.