--- title: "langevals vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langwatch-langevals-vs-microsoft-autogen" tools: ["langwatch-langevals", "microsoft-autogen"] --- # langevals vs autogen *GraphCanon updated Jul 15, 2026* ## Verdict Pick langevals when tags unique to langevals: evaluation, guardrails, llm, openai; pick autogen when 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.. [langevals](https://langwatch.ai/) reports 72 GitHub stars, 9 forks, and 18 open issues, last pushed Feb 15, 2026. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [langevals's repository](https://github.com/langwatch/langevals) and [autogen's repository](https://github.com/microsoft/autogen). | | [langevals](/tools/langwatch-langevals.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | LangEvals aggregates various language model evaluators into a single platform, providing a standard interface for a multitude of scores and LLM guardrails, for you to protect and benchmark your LLM mo | A programming framework for agentic AI | | Stars | 72 | 59,658 | | Forks | 9 | 8,983 | | Open issues | 18 | 945 | | Language | - | Python | | 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. | | Persona | - | - | | Runtime | - | - | | License | - | CC-BY-4.0 | | Categories | Data & Retrieval, Evaluation & Observability, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langevals](/tools/langwatch-langevals.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 149d | 87d | | Open issues (now) | 18 | 945 | | Full report | [trust report](/tools/langwatch-langevals/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## 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 langevals if… - Tags unique to langevals: evaluation, guardrails, llm, openai. - Also covers Data & Retrieval, Evaluation & Observability. - Leaner open-issue backlog (18). ### Choose autogen if… - 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, ai, autogen. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ## When NOT to use langevals - Last GitHub push was 149 days ago (slowing maintenance, Feb 15, 2026). Validate activity before betting a new project on langevals. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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 langevals and autogen? langevals: LangEvals aggregates various language model evaluators into a single platform, providing a standard interface for a multitude of scores and LLM guardrails, for you to protect and benchmark your LLM mo. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose langevals over autogen? Choose langevals over autogen when Tags unique to langevals: evaluation, guardrails, llm, openai; Also covers Data & Retrieval, Evaluation & Observability; Leaner open-issue backlog (18). ### When should I choose autogen over langevals? Choose autogen over langevals when 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, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I avoid langevals? Last GitHub push was 149 days ago (slowing maintenance, Feb 15, 2026). Validate activity before betting a new project on langevals. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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 langevals or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 72). Stars measure visibility, not whether either tool fits your constraints. ### Are langevals and autogen open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to langevals or autogen? GraphCanon lists graph-backed alternatives at [langevals alternatives](/tools/langwatch-langevals/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([langevals markdown twin](/tools/langwatch-langevals/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/langwatch-langevals-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langevals or autogen? langevals: Slowing. autogen: Steady. 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 langevals and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langevals trust report](/tools/langwatch-langevals/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langwatch-langevals`](/api/graphcanon/graph?tool=langwatch-langevals) - 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/_