---
title: "autogen vs YiVal"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-yival-yival"
tools: ["microsoft-autogen", "yival-yival"]
---

# autogen vs YiVal

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick autogen when license: autogen is CC-BY-4.0, YiVal is Apache-2.0; pick YiVal when license: YiVal is Apache-2.0, autogen is CC-BY-4.0.

[autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [YiVal](https://yival.io/) has 2.1k stars, 328 forks, and 18 open issues, last pushed Apr 22, 2024. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [YiVal's repository](https://github.com/YiVal/YiVal).

| | [autogen](/tools/microsoft-autogen.md) | [YiVal](/tools/yival-yival.md) |
| --- | --- | --- |
| Tagline | A programming framework for agentic AI | Your Automatic Prompt Engineering Assistant for GenAI Applications |
| Stars | 59,658 | 2,130 |
| Forks | 8,983 | 328 |
| Open issues | 945 | 18 |
| Language | Python | 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 | Apache-2.0 |
| Categories | LLM Frameworks, AI Agents | LLM Frameworks, Developer Tools, Computer Vision |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [autogen](/tools/microsoft-autogen.md) | [YiVal](/tools/yival-yival.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Dormant (18%) |
| Days since push | 87d | 810d |
| Open issues (now) | 945 | 18 |
| Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/yival-yival/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 autogen if…

- License: autogen is CC-BY-4.0, YiVal 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: llm-framework, autogen, agents, agentic-agi.
- Also covers AI Agents.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

### Choose YiVal if…

- License: YiVal is Apache-2.0, autogen is CC-BY-4.0.
- Tags unique to YiVal: auto-prompting, autogpt, fine-tuning, ai-toolkit.
- Also covers Developer Tools, Computer Vision.

## 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.

## When NOT to use YiVal

- Last GitHub push was 811 days ago (dormant maintenance, Apr 22, 2024). Validate activity before betting a new project on YiVal.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## Common questions

### What is the difference between autogen and YiVal?

autogen: A programming framework for agentic AI. YiVal: Your Automatic Prompt Engineering Assistant for GenAI Applications. See the comparison table for live GitHub stats and shared categories.

### When should I choose autogen over YiVal?

Choose autogen over YiVal when License: autogen is CC-BY-4.0, YiVal 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: llm-framework, autogen, agents, agentic-agi; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

### When should I choose YiVal over autogen?

Choose YiVal over autogen when License: YiVal is Apache-2.0, autogen is CC-BY-4.0; Tags unique to YiVal: auto-prompting, autogpt, fine-tuning, ai-toolkit; Also covers Developer Tools, Computer Vision.

### 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.

### When should I avoid YiVal?

Last GitHub push was 811 days ago (dormant maintenance, Apr 22, 2024). Validate activity before betting a new project on YiVal. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### Is autogen or YiVal more popular on GitHub?

autogen has more GitHub stars (59,658 vs 2,130). Stars measure visibility, not whether either tool fits your constraints.

### Are autogen and YiVal open source?

Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, YiVal: Apache-2.0).

### Where can I find alternatives to autogen or YiVal?

GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [YiVal alternatives](/tools/yival-yival/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [YiVal markdown twin](/tools/yival-yival/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/microsoft-autogen-vs-yival-yival.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, autogen or YiVal?

autogen: Steady. YiVal: Dormant. 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 autogen and YiVal?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [YiVal trust report](/tools/yival-yival/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-autogen`](/api/graphcanon/graph?tool=microsoft-autogen)
- 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/_
