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Comparison

LaVague vs autogen

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 autogen if autoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.

Markdown twin · LaVague alternatives · autogen alternatives

GraphCanon updated 2d

LaVague logo

LaVague

lavague-ai/LaVague

★ 6.4kpushed Jan 21, 2025
vs
autogen logo

autogen

microsoft/autogen

★ 60kpushed Apr 15, 2026

Trust & integrity

SignalLaVagueautogen
Maintenance
Dormant (574d since push)
As of 2d · github_public_v1
Slowing (107d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2d · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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 reportautogen trust reportTrust methodology

Tagline

LaVague
Large Action Model framework to develop AI Web Agents
autogen
A programming framework for agentic AI

Stars

LaVague
6.4k
autogen
60k

Forks

LaVague
573
autogen
9.1k

Open issues

LaVague
104
autogen
970

Language

LaVague
Python
autogen
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.
autogen
AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.

Persona

LaVague
-
autogen
-

Runtime

LaVague
-
autogen
-

License

LaVague
LaVague's license (Apache-2.0) allows free use in both open and closed-source applications, provided that copyright notices are preserved.
autogen
CC-BY-4.0

Last pushed

LaVague
Jan 21, 2025
autogen
Apr 15, 2026

Categories

LaVague
AI Agents
autogen
AI Agents, LLM Frameworks

Trust and health

Maintenance

LaVague
Dormant (18%)
autogen
Slowing (36%)

Days since push

LaVague
574d
autogen
107d

Open issues (now)

LaVague
104
autogen
970

Stars delta

LaVague
+6 (30d)
autogen
Unknown

Open issues delta

LaVague
0 (30d)
autogen
Unknown

Full report

LaVague
Trust report
autogen
Trust report

Choose LaVague if…

  • License: LaVague is Apache-2.0, autogen is CC-BY-4.0.
  • 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 autogen if…

  • License: autogen is CC-BY-4.0, LaVague is Apache-2.0.
  • Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
  • Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem.
  • Also covers LLM Frameworks.
  • You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

When NOT to use autogen

  • If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
  • When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
  • You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
GitHubDetails

Explore

LaVague trust report →autogen 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: LaVague 6.4k · autogen 60k (synced Aug 18, 2026).

Common questions

What is the difference between LaVague and autogen?
LaVague: Large Action Model framework to develop AI Web Agents. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
When should I choose LaVague over autogen?
Choose LaVague over autogen when License: LaVague is Apache-2.0, autogen is CC-BY-4.0; 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 autogen over LaVague?
Choose autogen over LaVague when License: autogen is CC-BY-4.0, LaVague is Apache-2.0; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem; Also covers LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
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 autogen?
If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as playwright/mcp, as AutoGen requires this setup for certain functionalities.
Is LaVague or autogen more popular on GitHub?
autogen has more GitHub stars (60,139 vs 6,386). Stars measure visibility, not whether either tool fits your constraints.
Are LaVague and autogen open source?
Yes - both are open-source projects on GitHub (LaVague: Apache-2.0, autogen: CC-BY-4.0).
Where can I find alternatives to LaVague or autogen?
GraphCanon lists graph-backed alternatives at LaVague alternatives and autogen alternatives (LaVague markdown twin, autogen 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 autogen?
LaVague: Dormant. autogen: Slowing. 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 autogen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LaVague trust report; autogen trust report.

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