MEmeiraleal·May 5, 2024
This might be useful:
https://github.com/bennyschmidt/ragdoll-studio
In Ask HN: Web framework for custom character sheets?bennyschmidt
ragdoll-studio
Python2024–2024
bennyschmidt / ragdoll-studio · Archived
ragdoll-studio
The creative suite for character-driven AI experiences.
4Distinct people
16Mentions
0Explicit recommenders
193GitHub stars
What to know before exploring
What it is
The creative suite for character-driven AI experiences.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 11:34:28 AM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week16 dated mentions
Observed mentions: 2024-03-19 01:59:31 UTC to 2024-09-06 19:21:04 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Mar 18 | 2024-03-18 00:00:00 UTC | 2024-03-25 00:00:00 UTC | 3 | 2 | 1 |
| Mar 25 | 2024-03-25 00:00:00 UTC | 2024-04-01 00:00:00 UTC | 1 | 0 | 1 |
| Apr 1 | 2024-04-01 00:00:00 UTC | 2024-04-08 00:00:00 UTC | 0 | 0 | 0 |
| Apr 8 | 2024-04-08 00:00:00 UTC | 2024-04-15 00:00:00 UTC | 1 | 1 | 0 |
| Apr 15 | 2024-04-15 00:00:00 UTC | 2024-04-22 00:00:00 UTC | 1 | 0 | 1 |
| Apr 22 | 2024-04-22 00:00:00 UTC | 2024-04-29 00:00:00 UTC | 3 | 0 | 3 |
| Apr 29 | 2024-04-29 00:00:00 UTC | 2024-05-06 00:00:00 UTC | 3 | 0 | 3 |
| May 6 | 2024-05-06 00:00:00 UTC | 2024-05-13 00:00:00 UTC | 3 | 1 | 2 |
| May 13 | 2024-05-13 00:00:00 UTC | 2024-05-20 00:00:00 UTC | 0 | 0 | 0 |
| May 20 | 2024-05-20 00:00:00 UTC | 2024-05-27 00:00:00 UTC | 0 | 0 | 0 |
| May 27 | 2024-05-27 00:00:00 UTC | 2024-06-03 00:00:00 UTC | 0 | 0 | 0 |
| Jun 3 | 2024-06-03 00:00:00 UTC | 2024-06-10 00:00:00 UTC | 0 | 0 | 0 |
| Jun 10 | 2024-06-10 00:00:00 UTC | 2024-06-17 00:00:00 UTC | 0 | 0 | 0 |
| Jun 17 | 2024-06-17 00:00:00 UTC | 2024-06-24 00:00:00 UTC | 0 | 0 | 0 |
| Jun 24 | 2024-06-24 00:00:00 UTC | 2024-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 1 | 2024-07-01 00:00:00 UTC | 2024-07-08 00:00:00 UTC | 0 | 0 | 0 |
| Jul 8 | 2024-07-08 00:00:00 UTC | 2024-07-15 00:00:00 UTC | 0 | 0 | 0 |
| Jul 15 | 2024-07-15 00:00:00 UTC | 2024-07-22 00:00:00 UTC | 0 | 0 | 0 |
| Jul 22 | 2024-07-22 00:00:00 UTC | 2024-07-29 00:00:00 UTC | 0 | 0 | 0 |
| Jul 29 | 2024-07-29 00:00:00 UTC | 2024-08-05 00:00:00 UTC | 0 | 0 | 0 |
| Aug 5 | 2024-08-05 00:00:00 UTC | 2024-08-12 00:00:00 UTC | 0 | 0 | 0 |
| Aug 12 | 2024-08-12 00:00:00 UTC | 2024-08-19 00:00:00 UTC | 0 | 0 | 0 |
| Aug 19 | 2024-08-19 00:00:00 UTC | 2024-08-26 00:00:00 UTC | 0 | 0 | 0 |
| Aug 26 | 2024-08-26 00:00:00 UTC | 2024-09-02 00:00:00 UTC | 0 | 0 | 0 |
| Sep 2 | 2024-09-02 00:00:00 UTC | 2024-09-09 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
3 sourcesI built a JavaScript library for creating LLM-based game NPCs, here's a video demo: https://github.com/bennyschmidt/ragdoll-studio/tree/master/e...
You drop all their knowledge into a file, like .txt. or .html and it uses RAG to learn everything in the file, so if it's a vendor things like shop inventory, prices, or if it's a storyteller/questgiver you can give it knowledge the player must uncover, etc.
It uses the LLM for natural sounding conversations and instructions ("speak in the style of..." etc.)
In Ask HN: Ideas for LLM-Based Games> You would also need to load an enormous amount of precedential case law
Very easily done. Is that it?
> lack of common sense, false conclusions
The AI tool doesn't replace the judge/DA/etc. it's just a very useful tool for them to use. Checkout the "RAG-based learning" section of this app I built (https://github.com/bennyschmidt/ragdoll-studio) there's a video that shows how you can effectively load new knowledge into it (I use LlamaIndex for RAG). For example, past cases that set legal precedents, and other information you want to be considered. It creates a database of the files you load in, so it's not making those assumptions like an LLM without RAG would. I think a human would be more error-prone than an LLM with vector DB of specific data + querying engine.
> I don't see the utility
Then you are not paying attention or haven't use
Read the rest
d LLMs that much. Maybe you're unfamiliar with the kind of work it's good at.
> actual work involved in practicing law
This is what it's best at, and what people are already using RAG for: Reading patient medical docs, technical documentation, etc. this is precisely what humans are bad at and will offload to technology.
> actual research is required
You have not tried RAG.
> LLMs struggle to produce useful outputs
You have not tried RAG.
> LLMs are unlikely to identify issues
You have not tried RAG.
> the LLM by definition is creative analysis
You have not tried RAG.
You can load an entire product catalog into LlamaIndex and the LLM will have perfect knowledge of pricing, inventory, etc. This specific domain knowledge of inventory allows you to have the accurate, transactional conversations that a regular LLM isn't designed for.