---
title: "agent-framework vs ai-engineering-from-scratch"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-rohitg00-ai-engineering-from-scratch"
tools: ["microsoft-agent-framework", "rohitg00-ai-engineering-from-scratch"]
---

# agent-framework vs ai-engineering-from-scratch

*GraphCanon updated Aug 16, 2026*

## Verdict

Pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments; pick ai-engineering-from-scratch if specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up.

[agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 47k stars, 8.2k forks, and 107 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch).

| | [agent-framework](/tools/microsoft-agent-framework.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) |
| --- | --- | --- |
| Tagline | Framework for building and deploying AI agents and multi-agent workflows | Learn it. Build it. Ship it for others. |
| Stars | 12,718 | 46,862 |
| Forks | 2,143 | 8,195 |
| Open issues | 685 | 107 |
| Language | Python | Python |
| Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Developer Tools | AI Agents, Computer Vision, Developer Tools, LLM Frameworks |

## Trust and health

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

| | [agent-framework](/tools/microsoft-agent-framework.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) |
| --- | --- | --- |
| Days since push | 0d | 6d |
| Open issues (now) | 685 | 107 |
| Stars delta | Unknown | +8.3k (30d) |
| Open issues delta | Unknown | +9 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) |

## Shared compatibility

- **Python**: [agent-framework](/tools/microsoft-agent-framework.md) - Python runtime; [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) - Python runtime

## Decision facts: agent-framework

- **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.
- **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.

## Decision facts: ai-engineering-from-scratch

- **Pricing:** freemium - The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up
- **Adopt for:** Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up.

## Choose when

### Choose agent-framework if…

- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

### Choose ai-engineering-from-scratch if…

- Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up.
- Tags unique to ai-engineering-from-scratch: ai-engineering, computer-vision, deep-learning, from-scratch.
- Also covers Computer Vision, LLM Frameworks.
- When you want to start with foundational knowledge and learn the intricacies behind AI systems.

## When NOT to use agent-framework

- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.

## When NOT to use ai-engineering-from-scratch

- If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding.
- When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.

## Common questions

### What is the difference between agent-framework and ai-engineering-from-scratch?

agent-framework: Framework for building and deploying AI agents and multi-agent workflows. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories.

### When should I choose agent-framework over ai-engineering-from-scratch?

Choose agent-framework over ai-engineering-from-scratch when Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

### When should I choose ai-engineering-from-scratch over agent-framework?

Choose ai-engineering-from-scratch over agent-framework when Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: ai-engineering, computer-vision, deep-learning, from-scratch; Also covers Computer Vision, LLM Frameworks; When you want to start with foundational knowledge and learn the intricacies behind AI systems.

### When should I avoid agent-framework?

Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.

### When should I avoid ai-engineering-from-scratch?

If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.

### Is agent-framework or ai-engineering-from-scratch more popular on GitHub?

ai-engineering-from-scratch has more GitHub stars (46,862 vs 12,718). Stars measure visibility, not whether either tool fits your constraints.

### Are agent-framework and ai-engineering-from-scratch open source?

Yes - both are open-source projects on GitHub (agent-framework: MIT, ai-engineering-from-scratch: MIT).

### Where can I find alternatives to agent-framework or ai-engineering-from-scratch?

GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/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-agent-framework-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agent-framework or ai-engineering-from-scratch?

agent-framework: Very active. ai-engineering-from-scratch: 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 agent-framework and ai-engineering-from-scratch?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust).

---

**Machine-readable endpoints**

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