--- title: "loopy vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/forward-future-loopy-vs-pguso-agents-from-scratch" tools: ["forward-future-loopy", "pguso-agents-from-scratch"] --- # loopy vs agents-from-scratch *GraphCanon updated Aug 12, 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 agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [loopy](https://signals.forwardfuture.ai/loop-library/) reports 2.9k GitHub stars, 262 forks, and 4 open issues, last pushed Jul 26, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 954 stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [loopy's repository](https://github.com/Forward-Future/loopy) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [loopy](/tools/forward-future-loopy.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | A library of practical AI-agent loops and an installable skill for repeatable agent workflows | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 2,891 | 954 | | Forks | 262 | 240 | | Open issues | 4 | 3 | | 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. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | 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 License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | 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) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 18d | | Open issues (now) | 4 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/forward-future-loopy/trust.md) | [trust report](/tools/pguso-agents-from-scratch/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: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose loopy if… - loopy is primarily JavaScript; agents-from-scratch is Python. - Pricing: Free. - Tags unique to loopy: agent-skills, agentic-workflows, automation. - When you need to implement codex-focused techniques in your agent workflows, Loopy can offer specific functionalities. ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; loopy is JavaScript. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## 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 agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between loopy and agents-from-scratch? loopy: A library of practical AI-agent loops and an installable skill for repeatable agent workflows. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose loopy over agents-from-scratch? Choose loopy over agents-from-scratch when loopy is primarily JavaScript; agents-from-scratch is Python; Pricing: Free; Tags unique to loopy: agent-skills, agentic-workflows, automation; When you need to implement codex-focused techniques in your agent workflows, Loopy can offer specific functionalities. ### When should I choose agents-from-scratch over loopy? Choose agents-from-scratch over loopy when agents-from-scratch is primarily Python; loopy is JavaScript; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### 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 agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is loopy or agents-from-scratch more popular on GitHub? loopy has more GitHub stars (2,891 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are loopy and agents-from-scratch open source? Yes - both are open-source projects on GitHub (loopy: MIT, agents-from-scratch: MIT). ### Where can I find alternatives to loopy or agents-from-scratch? GraphCanon lists graph-backed alternatives at [loopy alternatives](/tools/forward-future-loopy/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([loopy markdown twin](/tools/forward-future-loopy/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-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/forward-future-loopy-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, loopy or agents-from-scratch? loopy: Very active. agents-from-scratch: 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 agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [loopy trust report](/tools/forward-future-loopy/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/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/_