--- title: "elia vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/darrenburns-elia-vs-pguso-agents-from-scratch" tools: ["darrenburns-elia", "pguso-agents-from-scratch"] --- # elia vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick elia if elia is a terminal-based user interface focused on keyboard shortcuts for efficient interaction with multiple large language models; 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. [elia](https://github.com/darrenburns/elia) reports 2.5k GitHub stars, 154 forks, and 25 open issues, last pushed Oct 10, 2024. [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 [elia's repository](https://github.com/darrenburns/elia) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [elia](/tools/darrenburns-elia.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Keyboard-centric TUI for interacting with various large language models. | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 2,479 | 1,017 | | Forks | 154 | 251 | | Open issues | 25 | 4 | | Language | Python | Python | | Adopt for | Elia is a terminal-based user interface focused on keyboard shortcuts for efficient interaction with multiple large language models. | 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 | Elia uses the Apache-2.0 license, allowing free use, modification, and distribution provided that proper attribution and copyleft requirements are observed. | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | Developer Tools, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [elia](/tools/darrenburns-elia.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 709d | 56d | | Open issues (now) | 25 | 4 | | Stars delta | 0 (30d) | +63 (30d) | | Full report | [trust report](/tools/darrenburns-elia/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Shared compatibility - **Python**: [elia](/tools/darrenburns-elia.md) - Python runtime; [agents-from-scratch](/tools/pguso-agents-from-scratch.md) - Python runtime ## Decision facts: elia - **Hosting:** self hosted - Users host Elia on their local machine or server environment to interact with multiple large language models via API. - **Pricing:** freemium - Elia itself is free and open-source under the Apache-2.0 license, but accessing specific large language models through APIs may incur costs depending on the provider’s pricing model. - **Adopt for:** Elia is a terminal-based user interface focused on keyboard shortcuts for efficient interaction with multiple large language models. - **License detail:** Elia uses the Apache-2.0 license, allowing free use, modification, and distribution provided that proper attribution and copyleft requirements are observed. ## 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 elia if… - License: elia is Apache-2.0, agents-from-scratch is MIT. - Users host Elia on their local machine or server environment to interact with multiple large language models via API. - Pricing: Elia itself is free and open-source under the Apache-2.0 license, but accessing specific large language models through APIs may incur costs depending on the provider’s pricing model.. - Tags unique to elia: ai, chatgpt, claude, gemma. - Also covers LLM Frameworks. - Use Elia when you want to work within the command line environment and have quick, convenient access to various large language models through API integration. ### Choose agents-from-scratch if… - License: agents-from-scratch is MIT, elia 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, ai-agents, llm, local-llm. - Also covers AI Agents. - 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 elia - Do not use Elia if you require a graphical user interface (GUI) and find that the terminal-based interaction restricts functionality or accessibility according to your needs. - Not recommended if API support for your preferred language model is missing, as this limits its interoperability for specific workflows. ## 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 elia and agents-from-scratch? elia: Keyboard-centric TUI for interacting with various large language 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 elia over agents-from-scratch? Choose elia over agents-from-scratch when License: elia is Apache-2.0, agents-from-scratch is MIT; Users host Elia on their local machine or server environment to interact with multiple large language models via API; Pricing: Elia itself is free and open-source under the Apache-2.0 license, but accessing specific large language models through APIs may incur costs depending on the provider’s pricing model.; Tags unique to elia: ai, chatgpt, claude, gemma; Also covers LLM Frameworks; Use Elia when you want to work within the command line environment and have quick, convenient access to various large language models through API integration. ### When should I choose agents-from-scratch over elia? Choose agents-from-scratch over elia when License: agents-from-scratch is MIT, elia 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, ai-agents, llm, local-llm; Also covers AI Agents; 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 elia? Do not use Elia if you require a graphical user interface (GUI) and find that the terminal-based interaction restricts functionality or accessibility according to your needs. Not recommended if API support for your preferred language model is missing, as this limits its interoperability for specific workflows. ### 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 elia or agents-from-scratch more popular on GitHub? elia has more GitHub stars (2,479 vs 1,017). Stars measure visibility, not whether either tool fits your constraints. ### Are elia and agents-from-scratch open source? Yes - both are open-source projects on GitHub (elia: Apache-2.0, agents-from-scratch: MIT). ### Where can I find alternatives to elia or agents-from-scratch? GraphCanon lists graph-backed alternatives at [elia alternatives](/tools/darrenburns-elia/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([elia markdown twin](/tools/darrenburns-elia/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/darrenburns-elia-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, elia or agents-from-scratch? elia: Dormant. 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 elia and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [elia trust report](/tools/darrenburns-elia/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=darrenburns-elia`](/api/graphcanon/graph?tool=darrenburns-elia) - 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/_