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rabidgremlin
Mutters
Java2016–2021
rabidgremlin / Mutters

Mutters

A framework for building bot brains.

2Distinct people
8Mentions
0Explicit recommenders
157GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A framework for building bot brains.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM 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 year8 dated mentions

Observed mentions: 2016-12-08 19:02:06 UTC to 2021-04-11 01:32:39 UTC.

012342016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC211
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC413
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

8 sources
There are two types of chatbots -- unreliable freeform ones (e.g. GPT-3) and reliable script-based ones (e.g. Alexa). I believe that what you're looking to do (dynamic rewriting) is moreso an active research topic! The script-based chatbots are very similar to those in the 80s, with one major addition -- the options at each choice point are now "intents" instead of exact text (e.g. "the user intends to order a taxi"). Machine learning is then used to classify whatever the user says/writes as an "intent," then the script is followed to the next choice point. Here is a nice Java framework that uses Ink to drive a script-based chatbot similar to Alexa: https://github.com/rabidgremlin/Mutters
In Ink 1.0 – Open-source scripting language for interactive narrative
Check out https://github.com/rabidgremlin/Mutters It uses ML to figure out the "intent" of what the user has said (using a document classifier) and named entity recognition (NER) to extract data from the text (date, location etc). That is actually the easy part. The harder part is the conversation scripting and state handling. Mutters uses the Ink narration engine (originally designed for dialogue heavy games) for this. It works pretty well. IMHO :)
In Challenges you’re going to face when building a chatbot

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