--- title: "bagidea-office vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bagidea-bagidea-office-vs-pguso-agents-from-scratch" tools: ["bagidea-bagidea-office", "pguso-agents-from-scratch"] --- # bagidea-office vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick bagidea-office if bagidea-office is an AI-agent office environment that integrates with desktop wallpaper, supporting multiple models including Claude, GLM, DeepSeek, Qwen, Kimi, OpenAI, Gemini, Groq, and Ollama; 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. [bagidea-office](https://bagidea.github.io/bagidea-office/) reports 227 GitHub stars, 73 forks, and 2 open issues, last pushed Sep 16, 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 [bagidea-office's repository](https://github.com/bagidea/bagidea-office) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [bagidea-office](/tools/bagidea-bagidea-office.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | A living AI-agent office environment for desktop wallpaper with support for various models | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 227 | 1,017 | | Forks | 73 | 251 | | Open issues | 2 | 4 | | Language | JavaScript | Python | | Adopt for | bagidea-office is an AI-agent office environment that integrates with desktop wallpaper, supporting multiple models including Claude, GLM, DeepSeek, Qwen, Kimi, OpenAI, Gemini, Groq, and Ollama. | 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 | 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._ | | [bagidea-office](/tools/bagidea-bagidea-office.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 4d | 56d | | Open issues (now) | 2 | 4 | | Stars delta | +35 (30d) | +63 (30d) | | Open issues delta | +2 (30d) | +1 (30d) | | Full report | [trust report](/tools/bagidea-bagidea-office/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: bagidea-office - **Requirements:** Works on Windows 11, macOS 13+, Linux (experimental). Requires Vulkan-capable GPU.; Dependencies include Godot 4.6+ for rendering, Node.js 18+, Claude Code CLI >= 2.x.; Installation involves downloading Godot app, running build script, and adding 'bagidea' command to PATH on macOS. - **Adopt for:** bagidea-office is an AI-agent office environment that integrates with desktop wallpaper, supporting multiple models including Claude, GLM, DeepSeek, Qwen, Kimi, OpenAI, Gemini, Groq, and Ollama. ## 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 bagidea-office if… - bagidea-office is primarily JavaScript; agents-from-scratch is Python. - Requirements: Works on Windows 11, macOS 13+, Linux (experimental). Requires Vulkan-capable GPU.; Dependencies include Godot 4.6+ for rendering, Node.js 18+, Claude Code CLI >= 2.x.; Installation involves downloading Godot app, running build script, and adding 'bagidea' command to PATH on macOS.. - Tags unique to bagidea-office: agent-orchestration, anthropic, automation, multimodel-support. - Use bagidea-office when you need a visually engaging AI-agent automation layer on your desktop. ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; bagidea-office 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, 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 bagidea-office - Avoid bagidea-office if you need a more straightforward text-based interaction without the graphical desktop overlay. - Not suitable for users who prefer fully-fledged AI development environments with minimal integration complexity. ## 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 bagidea-office and agents-from-scratch? bagidea-office: A living AI-agent office environment for desktop wallpaper with support for various models. 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 bagidea-office over agents-from-scratch? Choose bagidea-office over agents-from-scratch when bagidea-office is primarily JavaScript; agents-from-scratch is Python; Requirements: Works on Windows 11, macOS 13+, Linux (experimental). Requires Vulkan-capable GPU.; Dependencies include Godot 4.6+ for rendering, Node.js 18+, Claude Code CLI >= 2.x.; Installation involves downloading Godot app, running build script, and adding 'bagidea' command to PATH on macOS.; Tags unique to bagidea-office: agent-orchestration, anthropic, automation, multimodel-support; Use bagidea-office when you need a visually engaging AI-agent automation layer on your desktop. ### When should I choose agents-from-scratch over bagidea-office? Choose agents-from-scratch over bagidea-office when agents-from-scratch is primarily Python; bagidea-office 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, 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 bagidea-office? Avoid bagidea-office if you need a more straightforward text-based interaction without the graphical desktop overlay. Not suitable for users who prefer fully-fledged AI development environments with minimal integration complexity. ### 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 bagidea-office or agents-from-scratch more popular on GitHub? agents-from-scratch has more GitHub stars (1,017 vs 227). Stars measure visibility, not whether either tool fits your constraints. ### Are bagidea-office and agents-from-scratch open source? Yes - both are open-source projects on GitHub (bagidea-office: MIT, agents-from-scratch: MIT). ### Where can I find alternatives to bagidea-office or agents-from-scratch? GraphCanon lists graph-backed alternatives at [bagidea-office alternatives](/tools/bagidea-bagidea-office/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([bagidea-office markdown twin](/tools/bagidea-bagidea-office/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/bagidea-bagidea-office-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, bagidea-office or agents-from-scratch? bagidea-office: 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 bagidea-office and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [bagidea-office trust report](/tools/bagidea-bagidea-office/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bagidea-bagidea-office`](/api/graphcanon/graph?tool=bagidea-bagidea-office) - 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/_