--- title: "loopy vs agent-framework" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/forward-future-loopy-vs-microsoft-agent-framework" tools: ["forward-future-loopy", "microsoft-agent-framework"] --- # loopy vs agent-framework *GraphCanon updated Aug 11, 2026* ## Verdict Pick loopy if loopy is a JavaScript-centric tool that provides practical AI-agent loop libraries and installable skills to design repeatable agent workflows; 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. [loopy](https://signals.forwardfuture.ai/loop-library/) reports 2.9k GitHub stars, 262 forks, and 4 open issues, last pushed Jul 26, 2026. [agent-framework](https://aka.ms/agent-framework) has 13k stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [loopy's repository](https://github.com/Forward-Future/loopy) and [agent-framework's repository](https://github.com/microsoft/agent-framework). | | [loopy](/tools/forward-future-loopy.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Tagline | A library of practical AI-agent loops and an installable skill for repeatable agent workflows | Framework for building and deploying AI agents and multi-agent workflows | | Stars | 2,891 | 12,718 | | Forks | 262 | 2,143 | | Open issues | 4 | 685 | | Language | JavaScript | Python | | Adopt for | Loopy is a JavaScript-centric tool that provides practical AI-agent loop libraries and installable skills to design repeatable agent workflows. | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | | Persona | - | - | | Runtime | - | - | | License | The MIT license applies to Loopy, permitting free use, even in commercial products, as long as the copyright and permission notices accompany those products. | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [loopy](/tools/forward-future-loopy.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 4 | 685 | | Full report | [trust report](/tools/forward-future-loopy/trust.md) | [trust report](/tools/microsoft-agent-framework/trust.md) | ## Decision facts: loopy - **Pricing:** freemium - Free - **Adopt for:** Loopy is a JavaScript-centric tool that provides practical AI-agent loop libraries and installable skills to design repeatable agent workflows. - **License detail:** The MIT license applies to Loopy, permitting free use, even in commercial products, as long as the copyright and permission notices accompany those products. ## 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. ## Choose when ### Choose loopy if… - loopy is primarily JavaScript; agent-framework is Python. - Pricing: Free. - Tags unique to loopy: agent-skills, agentic-workflows, automation, prompt-engineering. - When you need to implement codex-focused techniques in your agent workflows, Loopy can offer specific functionalities. ### Choose agent-framework if… - agent-framework is primarily Python; loopy is JavaScript. - 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 NOT to use loopy - Avoid using Loopy if your workflow requires a language other than JavaScript, as it does not support integration with non-JavaScript environments. - Do not use this tool when you are working in an environment that has strict rules against third-party libraries and prefers custom developments from scratch. ## 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. ## Common questions ### What is the difference between loopy and agent-framework? loopy: A library of practical AI-agent loops and an installable skill for repeatable agent workflows. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose loopy over agent-framework? Choose loopy over agent-framework when loopy is primarily JavaScript; agent-framework is Python; Pricing: Free; Tags unique to loopy: agent-skills, agentic-workflows, automation, prompt-engineering; When you need to implement codex-focused techniques in your agent workflows, Loopy can offer specific functionalities. ### When should I choose agent-framework over loopy? Choose agent-framework over loopy when agent-framework is primarily Python; loopy is JavaScript; 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 avoid loopy? Avoid using Loopy if your workflow requires a language other than JavaScript, as it does not support integration with non-JavaScript environments. Do not use this tool when you are working in an environment that has strict rules against third-party libraries and prefers custom developments from scratch. ### 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. ### Is loopy or agent-framework more popular on GitHub? agent-framework has more GitHub stars (12,718 vs 2,891). Stars measure visibility, not whether either tool fits your constraints. ### Are loopy and agent-framework open source? Yes - both are open-source projects on GitHub (loopy: MIT, agent-framework: MIT). ### Where can I find alternatives to loopy or agent-framework? GraphCanon lists graph-backed alternatives at [loopy alternatives](/tools/forward-future-loopy/alternatives) and [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) ([loopy markdown twin](/tools/forward-future-loopy/alternatives.md), [agent-framework markdown twin](/tools/microsoft-agent-framework/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/forward-future-loopy-vs-microsoft-agent-framework.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, loopy or agent-framework? loopy: Very active. agent-framework: 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 loopy and agent-framework? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [loopy trust report](/tools/forward-future-loopy/trust); [agent-framework trust report](/tools/microsoft-agent-framework/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=forward-future-loopy`](/api/graphcanon/graph?tool=forward-future-loopy) - 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/_