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Comparison

LaVague vs AutoGPT

Verdict

Pick LaVague if large Action Model (LaVague) framework supports developing AI web agents using customizable Large Language Models (LLMs), offering tracking of token usage for cost estimation purposes; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.

Markdown twin · LaVague alternatives · AutoGPT alternatives

GraphCanon updated Sep 20, 2026

12views this month

LaVague logo

LaVague

lavague-ai/LaVague

★ 6.4kpushed Jan 21, 2025
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 187kpushed Sep 18, 2026

Trust & integrity

SignalLaVagueAutoGPT
Maintenance
Dormant (574d since push)
As of Aug 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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
LaVague trust reportAutoGPT trust reportTrust methodology

Tagline

LaVague
Large Action Model framework to develop AI Web Agents
AutoGPT
Accessible AI for everyone, providing tools for focus on what matters

Stars

LaVague
6.4k
AutoGPT
187k

Forks

LaVague
573
AutoGPT
46k

Open issues

LaVague
104
AutoGPT
593

Language

LaVague
Python
AutoGPT
Python

Adopt for

LaVague
Large Action Model (LaVague) framework supports developing AI web agents using customizable Large Language Models (LLMs), offering tracking of token usage for cost estimation purposes.
AutoGPT
AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.

Persona

LaVague
-
AutoGPT
-

Runtime

LaVague
-
AutoGPT
-

License

LaVague
LaVague's license (Apache-2.0) allows free use in both open and closed-source applications, provided that copyright notices are preserved.
AutoGPT
AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all

Last pushed

LaVague
Jan 21, 2025
AutoGPT
Sep 18, 2026

Categories

LaVague
AI Agents
AutoGPT
AI Agents, Developer Tools

Trust and health

Maintenance

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

Days since push

LaVague
574d
AutoGPT
0d

Open issues (now)

LaVague
104
AutoGPT
593

Stars delta

LaVague
+6 (30d)
AutoGPT
+801 (30d)

Open issues delta

LaVague
0 (30d)
AutoGPT
+76 (30d)

Full report

LaVague
Trust report
AutoGPT
Trust report

Choose LaVague if…

  • License: LaVague is Apache-2.0, AutoGPT is Other.
  • Pricing: Free to use with customizable LLMs; actual costs depend on the specific LLM used and operational complexity..
  • Requirements: Min 2 GB RAM; Requires Python for development..
  • Tags unique to LaVague: browser, large-action-model, llm, oss.
  • When you need a flexible framework that allows customization of LLMs, particularly if your primary model is OpenAI's `gpt4-o` or similar models.

When NOT to use LaVague

  • Avoid using LaVague if you are working on projects that do not involve AI web agent development, as the framework is specifically designed around this use-case.
  • Do not opt for LaVague if you require a non-Python environment for your development since the framework is Python-based.
GitHubDetails

Choose AutoGPT if…

  • License: AutoGPT is Other, LaVague is Apache-2.0.
  • Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
  • Also covers Developer Tools.
  • When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.

When NOT to use AutoGPT

  • If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
  • When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
  • If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
GitHubDetails

Explore

LaVague trust report →AutoGPT trust report →AI Agents category →Developer Tools 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: LaVague 6.4k · AutoGPT 187k (synced Sep 20, 2026).

Common questions

What is the difference between LaVague and AutoGPT?
LaVague: Large Action Model framework to develop AI Web Agents. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. See the comparison table for live GitHub stats and shared categories.
When should I choose LaVague over AutoGPT?
Choose LaVague over AutoGPT when License: LaVague is Apache-2.0, AutoGPT is Other; Pricing: Free to use with customizable LLMs; actual costs depend on the specific LLM used and operational complexity.; Requirements: Min 2 GB RAM; Requires Python for development.; Tags unique to LaVague: browser, large-action-model, llm, oss; When you need a flexible framework that allows customization of LLMs, particularly if your primary model is OpenAI's gpt4-o or similar models.
When should I choose AutoGPT over LaVague?
Choose AutoGPT over LaVague when License: AutoGPT is Other, LaVague is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; Also covers Developer Tools; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When should I avoid LaVague?
Avoid using LaVague if you are working on projects that do not involve AI web agent development, as the framework is specifically designed around this use-case. Do not opt for LaVague if you require a non-Python environment for your development since the framework is Python-based.
When should I avoid AutoGPT?
If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
Is LaVague or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (187,424 vs 6,386). Stars measure visibility, not whether either tool fits your constraints.
Are LaVague and AutoGPT open source?
Yes - both are open-source projects on GitHub (LaVague: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to LaVague or AutoGPT?
GraphCanon lists graph-backed alternatives at LaVague alternatives and AutoGPT alternatives (LaVague 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, LaVague or AutoGPT?
LaVague: 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 LaVague and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LaVague trust report; AutoGPT trust report.

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