---
title: "agent-framework vs stackql"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-stackql-stackql"
tools: ["microsoft-agent-framework", "stackql-stackql"]
---

# agent-framework vs stackql

*GraphCanon updated Aug 11, 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 stackql if stackQL is a SQL-based framework that allows users to query and manage various cloud resources using familiar SQL commands.

[agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. [stackql](https://stackql.io/) has 862 stars, 80 forks, and 103 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [stackql's repository](https://github.com/stackql/stackql).

| | [agent-framework](/tools/microsoft-agent-framework.md) | [stackql](/tools/stackql-stackql.md) |
| --- | --- | --- |
| Tagline | Framework for building and deploying AI agents and multi-agent workflows | Unified SQL-based framework for querying and managing resources |
| Stars | 12,718 | 862 |
| Forks | 2,143 | 80 |
| Open issues | 685 | 103 |
| Language | Python | Go |
| Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | StackQL is a SQL-based framework that allows users to query and manage various cloud resources using familiar SQL commands. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

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

| | [agent-framework](/tools/microsoft-agent-framework.md) | [stackql](/tools/stackql-stackql.md) |
| --- | --- | --- |
| Open issues (now) | 685 | 103 |
| Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/stackql-stackql/trust.md) |

## 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: stackql

- **Adopt for:** StackQL is a SQL-based framework that allows users to query and manage various cloud resources using familiar SQL commands.

## Choose when

### Choose agent-framework if…

- agent-framework is primarily Python; stackql is Go.
- 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, agents, multi-agent.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

### Choose stackql if…

- stackql is primarily Go; agent-framework is Python.
- Tags unique to stackql: cloud-automation, cloud-config, infrastructure-as-code, llm-tools.
- stackql ships Docker support for self-hosted deployment.
- - When you need to work across multiple cloud providers and SaaS platforms and desire consistency in resource management through SQL queries

## 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 stackql

- - If your environment strictly enforces language-specific tools and you are already heavily invested in a toolset built outside of Go
- - In scenarios where SQL-based querying does not align with the team's workflow or expertise, preferring more direct API-style interactions instead

## Common questions

### What is the difference between agent-framework and stackql?

agent-framework: Framework for building and deploying AI agents and multi-agent workflows. stackql: Unified SQL-based framework for querying and managing resources. See the comparison table for live GitHub stats and shared categories.

### When should I choose agent-framework over stackql?

Choose agent-framework over stackql when agent-framework is primarily Python; stackql is Go; 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, agents, multi-agent; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

### When should I choose stackql over agent-framework?

Choose stackql over agent-framework when stackql is primarily Go; agent-framework is Python; Tags unique to stackql: cloud-automation, cloud-config, infrastructure-as-code, llm-tools; stackql ships Docker support for self-hosted deployment; - When you need to work across multiple cloud providers and SaaS platforms and desire consistency in resource management through SQL queries.

### 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 stackql?

- If your environment strictly enforces language-specific tools and you are already heavily invested in a toolset built outside of Go - In scenarios where SQL-based querying does not align with the team's workflow or expertise, preferring more direct API-style interactions instead

### Is agent-framework or stackql more popular on GitHub?

agent-framework has more GitHub stars (12,718 vs 862). Stars measure visibility, not whether either tool fits your constraints.

### Are agent-framework and stackql open source?

Yes - both are open-source projects on GitHub (agent-framework: MIT, stackql: MIT).

### Where can I find alternatives to agent-framework or stackql?

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

### Which is better maintained, agent-framework or stackql?

agent-framework: Very active. stackql: 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 stackql?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [stackql trust report](/tools/stackql-stackql/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/_
