--- title: "heartmorrow vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hmdsimdev-heartmorrow-vs-pguso-agents-from-scratch" tools: ["hmdsimdev-heartmorrow", "pguso-agents-from-scratch"] --- # heartmorrow vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick heartmorrow if lLM-powered dating simulator built with TypeScript; 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. [heartmorrow](https://heartmorrow.com/) reports 184 GitHub stars, 20 forks, and 2 open issues, last pushed Aug 18, 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 [heartmorrow's repository](https://github.com/HMDSimDev/heartmorrow) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [heartmorrow](/tools/hmdsimdev-heartmorrow.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | LLM-powered dating simulator | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 184 | 1,017 | | Forks | 20 | 251 | | Open issues | 2 | 4 | | Language | TypeScript | Python | | Adopt for | LLM-powered dating simulator built with TypeScript. | 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 | Unlicense | 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._ | | [heartmorrow](/tools/hmdsimdev-heartmorrow.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Days since push | 32d | 56d | | Open issues (now) | 2 | 4 | | Stars delta | +12 (30d) | +63 (30d) | | Open issues delta | +2 (30d) | +1 (30d) | | Full report | [trust report](/tools/hmdsimdev-heartmorrow/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: heartmorrow - **Adopt for:** LLM-powered dating simulator built with TypeScript. ## 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 heartmorrow if… - heartmorrow is primarily TypeScript; agents-from-scratch is Python. - License: heartmorrow is Unlicense, agents-from-scratch is MIT. - Tags unique to heartmorrow: ai, dating-simulator, game, local-ai. - Also covers LLM Frameworks. - heartmorrow ships Docker support for self-hosted deployment. - You aim to develop an interactive dating simulation leveraging LLM technology. ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; heartmorrow is TypeScript. - License: agents-from-scratch is MIT, heartmorrow is Unlicense. - 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, no-framework, prompt-engineering. - 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 heartmorrow - Seeking a tool with extensive non-dating game functionalities. - If you need more direct control over the environment setup rather than using provided scripts. ## 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 heartmorrow and agents-from-scratch? heartmorrow: LLM-powered dating simulator. 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 heartmorrow over agents-from-scratch? Choose heartmorrow over agents-from-scratch when heartmorrow is primarily TypeScript; agents-from-scratch is Python; License: heartmorrow is Unlicense, agents-from-scratch is MIT; Tags unique to heartmorrow: ai, dating-simulator, game, local-ai; Also covers LLM Frameworks; heartmorrow ships Docker support for self-hosted deployment; You aim to develop an interactive dating simulation leveraging LLM technology. ### When should I choose agents-from-scratch over heartmorrow? Choose agents-from-scratch over heartmorrow when agents-from-scratch is primarily Python; heartmorrow is TypeScript; License: agents-from-scratch is MIT, heartmorrow is Unlicense; 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, no-framework, prompt-engineering; 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 heartmorrow? Seeking a tool with extensive non-dating game functionalities. If you need more direct control over the environment setup rather than using provided scripts. ### 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 heartmorrow or agents-from-scratch more popular on GitHub? agents-from-scratch has more GitHub stars (1,017 vs 184). Stars measure visibility, not whether either tool fits your constraints. ### Are heartmorrow and agents-from-scratch open source? Yes - both are open-source projects on GitHub (heartmorrow: Unlicense, agents-from-scratch: MIT). ### Where can I find alternatives to heartmorrow or agents-from-scratch? GraphCanon lists graph-backed alternatives at [heartmorrow alternatives](/tools/hmdsimdev-heartmorrow/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([heartmorrow markdown twin](/tools/hmdsimdev-heartmorrow/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/hmdsimdev-heartmorrow-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, heartmorrow or agents-from-scratch? heartmorrow: Steady. 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 heartmorrow and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [heartmorrow trust report](/tools/hmdsimdev-heartmorrow/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hmdsimdev-heartmorrow`](/api/graphcanon/graph?tool=hmdsimdev-heartmorrow) - 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/_