--- title: "hermes-webui vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nesquena-hermes-webui-vs-pguso-agents-from-scratch" tools: ["nesquena-hermes-webui", "pguso-agents-from-scratch"] --- # hermes-webui vs agents-from-scratch *GraphCanon updated Aug 19, 2026* ## Verdict Pick hermes-webui if hermes WebUI is a web interface designed for interacting with the Hermes agent, providing features to manage AI tasks and chat through browsers or mobile devices. It comes packaged as an easy-to-set-up Python application; 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. [hermes-webui](https://get-hermes.ai/setup) reports 17k GitHub stars, 2.4k forks, and 669 open issues, last pushed Aug 19, 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 [hermes-webui's repository](https://github.com/nesquena/hermes-webui) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [hermes-webui](/tools/nesquena-hermes-webui.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Hermes WebUI: The best way to use Hermes Agent from the web or from your phone! | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 17,456 | 954 | | Forks | 2,409 | 240 | | Open issues | 669 | 3 | | Language | Python | Python | | Adopt for | Hermes WebUI is a web interface designed for interacting with the Hermes agent, providing features to manage AI tasks and chat through browsers or mobile devices. It comes packaged as an easy-to-set-up Python application | 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 | MIT License. You are free to use, modify and distribute this software with appropriate attribution. | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hermes-webui](/tools/nesquena-hermes-webui.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 18d | | Open issues (now) | 669 | 3 | | Stars delta | +1.2k (30d) | Unknown | | Open issues delta | +353 (30d) | Unknown | | Full report | [trust report](/tools/nesquena-hermes-webui/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Shared compatibility - **Python**: [hermes-webui](/tools/nesquena-hermes-webui.md) - Python runtime; [agents-from-scratch](/tools/pguso-agents-from-scratch.md) - Python runtime ## Decision facts: hermes-webui - **Requirements:** Min 1 GB RAM; Requires Docker; Self-hosting requires setup via shell commands or Docker configuration for more comprehensive deployment scenarios. - **Adopt for:** Hermes WebUI is a web interface designed for interacting with the Hermes agent, providing features to manage AI tasks and chat through browsers or mobile devices. It comes packaged as an easy-to-set-up Python application - **License detail:** MIT License. You are free to use, modify and distribute this software with appropriate attribution. ## 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 hermes-webui if… - Requirements: Min 1 GB RAM; Requires Docker; Self-hosting requires setup via shell commands or Docker configuration for more comprehensive deployment scenarios.. - Tags unique to hermes-webui: agent, hermes, hermes-agent, nous-research. - hermes-webui ships Docker support for self-hosted deployment. - When you want a user-friendly GUI to manage and interact with Hermes agents, ideal for users who prefer a visual interface over command-line operations. ### Choose agents-from-scratch if… - 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. - Also covers Developer Tools. - 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 hermes-webui - Avoid using this tool if you require out-of-the-box support for full agent-loop delegation as it's not currently available, tracked under issue #1925. - If your setup requires running the Hermes WebUI exclusively on an external Hermes/Agent OpenAI-compatible API since WebUI runs the Hermes Agent in-process by default. ## 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 hermes-webui and agents-from-scratch? hermes-webui: Hermes WebUI: The best way to use Hermes Agent from the web or from your phone!. 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 hermes-webui over agents-from-scratch? Choose hermes-webui over agents-from-scratch when Requirements: Min 1 GB RAM; Requires Docker; Self-hosting requires setup via shell commands or Docker configuration for more comprehensive deployment scenarios.; Tags unique to hermes-webui: agent, hermes, hermes-agent, nous-research; hermes-webui ships Docker support for self-hosted deployment; When you want a user-friendly GUI to manage and interact with Hermes agents, ideal for users who prefer a visual interface over command-line operations. ### When should I choose agents-from-scratch over hermes-webui? Choose agents-from-scratch over hermes-webui when 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; Also covers Developer Tools; 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 hermes-webui? Avoid using this tool if you require out-of-the-box support for full agent-loop delegation as it's not currently available, tracked under issue #1925. If your setup requires running the Hermes WebUI exclusively on an external Hermes/Agent OpenAI-compatible API since WebUI runs the Hermes Agent in-process by default. ### 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 hermes-webui or agents-from-scratch more popular on GitHub? hermes-webui has more GitHub stars (17,456 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are hermes-webui and agents-from-scratch open source? Yes - both are open-source projects on GitHub (hermes-webui: MIT, agents-from-scratch: MIT). ### Where can I find alternatives to hermes-webui or agents-from-scratch? GraphCanon lists graph-backed alternatives at [hermes-webui alternatives](/tools/nesquena-hermes-webui/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([hermes-webui markdown twin](/tools/nesquena-hermes-webui/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/nesquena-hermes-webui-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, hermes-webui or agents-from-scratch? hermes-webui: 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 hermes-webui and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hermes-webui trust report](/tools/nesquena-hermes-webui/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nesquena-hermes-webui`](/api/graphcanon/graph?tool=nesquena-hermes-webui) - 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/_