--- title: "DeepTutor vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-deeptutor-vs-pguso-agents-from-scratch" tools: ["hkuds-deeptutor", "pguso-agents-from-scratch"] --- # DeepTutor vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick DeepTutor if deepTutor is an AI-driven tutoring system designed for lifelong personalized learning, featuring a CLI tool for setup and management, and support for various RAG engines and partner integrations; 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. [DeepTutor](http://arxiv.org/abs/2604.26962) reports 40k GitHub stars, 5.0k forks, and 268 open issues, last pushed Sep 15, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 1.0k stars, 251 forks, and 4 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [DeepTutor's repository](https://github.com/HKUDS/DeepTutor) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [DeepTutor](/tools/hkuds-deeptutor.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Lifelong Personalized Tutoring | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 39,926 | 1,017 | | Forks | 5,014 | 251 | | Open issues | 268 | 4 | | Language | Python | Python | | Adopt for | DeepTutor is an AI-driven tutoring system designed for lifelong personalized learning, featuring a CLI tool for setup and management, and support for various RAG engines and partner integrations. | 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 | Apache-2.0 | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents, Data & Retrieval, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepTutor](/tools/hkuds-deeptutor.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 3d | 56d | | Open issues (now) | 268 | 4 | | Stars delta | +4.0k (30d) | +63 (30d) | | Open issues delta | +160 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/hkuds-deeptutor/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Shared compatibility - **Python**: [DeepTutor](/tools/hkuds-deeptutor.md) - Python runtime; [agents-from-scratch](/tools/pguso-agents-from-scratch.md) - Python runtime ## Decision facts: DeepTutor - **Adopt for:** DeepTutor is an AI-driven tutoring system designed for lifelong personalized learning, featuring a CLI tool for setup and management, and support for various RAG engines and partner integrations. ## 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 DeepTutor if… - License: DeepTutor is Apache-2.0, agents-from-scratch is MIT. - Tags unique to DeepTutor: ai-tutor, clawdbot, cli-tool, deepresearch. - Also covers Data & Retrieval. - DeepTutor ships Docker support for self-hosted deployment. - When you need a system that supports lifelong learning through personalized interactions. ### Choose agents-from-scratch if… - License: agents-from-scratch is MIT, DeepTutor is Apache-2.0. - 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, llm, local-llm, no-framework. - 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 DeepTutor - If your project does not require lifelong learning capabilities or personalized tutoring. - When you do not need support for specific RAG engines or partner integrations. - If you are looking for a tool that does not require a CLI for setup and management. - For environments where the Apache-2.0 license is not compatible with your project requirements. ## 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 DeepTutor and agents-from-scratch? DeepTutor: Lifelong Personalized Tutoring. 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 DeepTutor over agents-from-scratch? Choose DeepTutor over agents-from-scratch when License: DeepTutor is Apache-2.0, agents-from-scratch is MIT; Tags unique to DeepTutor: ai-tutor, clawdbot, cli-tool, deepresearch; Also covers Data & Retrieval; DeepTutor ships Docker support for self-hosted deployment; When you need a system that supports lifelong learning through personalized interactions. ### When should I choose agents-from-scratch over DeepTutor? Choose agents-from-scratch over DeepTutor when License: agents-from-scratch is MIT, DeepTutor is Apache-2.0; 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, llm, local-llm, no-framework; 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 DeepTutor? If your project does not require lifelong learning capabilities or personalized tutoring. When you do not need support for specific RAG engines or partner integrations. If you are looking for a tool that does not require a CLI for setup and management. For environments where the Apache-2.0 license is not compatible with your project requirements. ### 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 DeepTutor or agents-from-scratch more popular on GitHub? DeepTutor has more GitHub stars (39,926 vs 1,017). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepTutor and agents-from-scratch open source? Yes - both are open-source projects on GitHub (DeepTutor: Apache-2.0, agents-from-scratch: MIT). ### Where can I find alternatives to DeepTutor or agents-from-scratch? GraphCanon lists graph-backed alternatives at [DeepTutor alternatives](/tools/hkuds-deeptutor/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([DeepTutor markdown twin](/tools/hkuds-deeptutor/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/hkuds-deeptutor-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, DeepTutor or agents-from-scratch? DeepTutor: Very active. agents-from-scratch: Steady. 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 DeepTutor and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepTutor trust report](/tools/hkuds-deeptutor/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-deeptutor`](/api/graphcanon/graph?tool=hkuds-deeptutor) - 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/_