--- title: "agent-framework vs SuperAGI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-transformeroptimus-superagi" tools: ["microsoft-agent-framework", "transformeroptimus-superagi"] --- # agent-framework vs SuperAGI *GraphCanon updated Aug 14, 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 SuperAGI if superAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data. [agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. [SuperAGI](https://superagi.com/) has 18k stars, 2.2k forks, and 268 open issues, last pushed Jan 22, 2025. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [SuperAGI's repository](https://github.com/TransformerOptimus/SuperAGI). | | [agent-framework](/tools/microsoft-agent-framework.md) | [SuperAGI](/tools/transformeroptimus-superagi.md) | | --- | --- | --- | | Tagline | Framework for building and deploying AI agents and multi-agent workflows | A dev-first open source autonomous AI agent framework | | Stars | 12,718 | 17,652 | | Forks | 2,143 | 2,224 | | Open issues | 685 | 268 | | 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. | SuperAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-framework](/tools/microsoft-agent-framework.md) | [SuperAGI](/tools/transformeroptimus-superagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 568d | | Open issues (now) | 685 | 268 | | Stars delta | Unknown | +33 (30d) | | Open issues delta | Unknown | -1 (30d) | | Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/transformeroptimus-superagi/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: SuperAGI - **Pricing:** freemium - SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from - **Requirements:** Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login. - **Adopt for:** SuperAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data. ## 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. - Also covers Developer Tools. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### Choose SuperAGI if… - Pricing: SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from . - Requirements: Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login.. - Tags unique to SuperAGI: agi, ai, artificial-general-intelligence, autonomous-agents. - SuperAGI ships Docker support for self-hosted deployment. - When you need an open-source, flexible environment that supports the development of autonomous agents with a focus on developer-first practices and ease of implementation. ## 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 SuperAGI - If your project requires a tightly integrated solution without dependencies on third-party APIs or cloud-based services, as SuperAGI requires API keys from providers for full functionality. - In scenarios where the technical setup through Docker or cloud deployment may introduce unnecessary complexity or overhead that outweighs the benefits of utilizing an autonomous agent framework. ## Common questions ### What is the difference between agent-framework and SuperAGI? agent-framework: Framework for building and deploying AI agents and multi-agent workflows. SuperAGI: A dev-first open source autonomous AI agent framework. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-framework over SuperAGI? Choose agent-framework over SuperAGI 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; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I choose SuperAGI over agent-framework? Choose SuperAGI over agent-framework when Pricing: SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from ; Requirements: Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login.; Tags unique to SuperAGI: agi, ai, artificial-general-intelligence, autonomous-agents; SuperAGI ships Docker support for self-hosted deployment; When you need an open-source, flexible environment that supports the development of autonomous agents with a focus on developer-first practices and ease of implementation. ### 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 SuperAGI? If your project requires a tightly integrated solution without dependencies on third-party APIs or cloud-based services, as SuperAGI requires API keys from providers for full functionality. In scenarios where the technical setup through Docker or cloud deployment may introduce unnecessary complexity or overhead that outweighs the benefits of utilizing an autonomous agent framework. ### Is agent-framework or SuperAGI more popular on GitHub? SuperAGI has more GitHub stars (17,652 vs 12,718). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-framework and SuperAGI open source? Yes - both are open-source projects on GitHub (agent-framework: MIT, SuperAGI: MIT). ### Where can I find alternatives to agent-framework or SuperAGI? GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [SuperAGI alternatives](/tools/transformeroptimus-superagi/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md), [SuperAGI markdown twin](/tools/transformeroptimus-superagi/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-transformeroptimus-superagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-framework or SuperAGI? agent-framework: Very active. SuperAGI: 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 agent-framework and SuperAGI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [SuperAGI trust report](/tools/transformeroptimus-superagi/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/_