--- title: "LaVague vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lavague-ai-lavague-vs-microsoft-autogen" tools: ["lavague-ai-lavague", "microsoft-autogen"] --- # LaVague vs autogen *GraphCanon updated Aug 18, 2026* ## 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. [LaVague](https://docs.lavague.ai/en/latest/) reports 6.4k GitHub stars, 573 forks, and 104 open issues, last pushed Jan 21, 2025. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.1k forks, and 970 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [LaVague's repository](https://github.com/lavague-ai/LaVague) and [autogen's repository](https://github.com/microsoft/autogen). | | [LaVague](/tools/lavague-ai-lavague.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | Large Action Model framework to develop AI Web Agents | A programming framework for agentic AI | | Stars | 6,386 | 60,139 | | Forks | 573 | 9,059 | | Open issues | 104 | 970 | | Language | Python | Python | | Adopt for | 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 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 | - | - | | Runtime | - | - | | License | LaVague's license (Apache-2.0) allows free use in both open and closed-source applications, provided that copyright notices are preserved. | CC-BY-4.0 | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LaVague](/tools/lavague-ai-lavague.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 574d | 107d | | Open issues (now) | 104 | 970 | | Stars delta | +6 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/lavague-ai-lavague/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Decision facts: LaVague - **Pricing:** freemium - 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. - **Adopt for:** 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. - **License detail:** LaVague's license (Apache-2.0) allows free use in both open and closed-source applications, provided that copyright notices are preserved. ## Decision facts: autogen - **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. - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/lavague-ai-lavague/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([LaVague markdown twin](/tools/lavague-ai-lavague/alternatives.md), [autogen markdown twin](/tools/microsoft-autogen/alternatives.md)), 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](/compare/lavague-ai-lavague-vs-microsoft-autogen.md) 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](/tools/lavague-ai-lavague/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lavague-ai-lavague`](/api/graphcanon/graph?tool=lavague-ai-lavague) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_