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JarvisButlerBot

A modular telegram bot and group butler that aims to understand your text messages.

Setup

Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.

To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder. You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).

Developing a module

Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).

Install JarvisButlerBot.ModuleCore from NuGet.

In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:

usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}

If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:

[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…

Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):

[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}

This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.

For your module class to compile, you will have to override several things:

  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.

Generating training data

You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.

Official modules

Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:

Publishing your modules

If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!

About

A modular telegram bot and group butler that aims to understand your text messages.

Resources

Readme
Activity
Custom properties

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
JarvisButlerBot
A modular telegram bot and group butler that aims to understand your text messages.
Setup
Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.
To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder.
You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).
Developing a module
Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).
Install JarvisButlerBot.ModuleCore from NuGet.
In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:
usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}
If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:
[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…
Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):
[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}
This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.
For your module class to compile, you will have to override several things:
  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.
Generating training data
You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.
Official modules
Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:
Publishing your modules
If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!
About
A modular telegram bot and group butler that aims to understand your text messages.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
JarvisButlerBot
A modular telegram bot and group butler that aims to understand your text messages.
Setup
Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.
To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder.
You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).
Developing a module
Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).
Install JarvisButlerBot.ModuleCore from NuGet.
In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:
usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}
If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:
[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…
Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):
[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}
This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.
For your module class to compile, you will have to override several things:
  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.
Generating training data
You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.
Official modules
Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:
Publishing your modules
If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!
About
A modular telegram bot and group butler that aims to understand your text messages.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
JarvisButlerBot
A modular telegram bot and group butler that aims to understand your text messages.
Setup
Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.
To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder.
You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).
Developing a module
Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).
Install JarvisButlerBot.ModuleCore from NuGet.
In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:
usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}
If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:
[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…
Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):
[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}
This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.
For your module class to compile, you will have to override several things:
  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.
Generating training data
You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.
Official modules
Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:
Publishing your modules
If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!
About
A modular telegram bot and group butler that aims to understand your text messages.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
JarvisButlerBot
A modular telegram bot and group butler that aims to understand your text messages.
Setup
Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.
To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder.
You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).
Developing a module
Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).
Install JarvisButlerBot.ModuleCore from NuGet.
In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:
usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}
If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:
[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…
Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):
[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}
This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.
For your module class to compile, you will have to override several things:
  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.
Generating training data
You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.
Official modules
Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:
Publishing your modules
If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!
About
A modular telegram bot and group butler that aims to understand your text messages.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
JarvisButlerBot
A modular telegram bot and group butler that aims to understand your text messages.
Setup
Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.
To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder.
You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).
Developing a module
Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).
Install JarvisButlerBot.ModuleCore from NuGet.
In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:
usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}
If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:
[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…
Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):
[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}
This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.
For your module class to compile, you will have to override several things:
  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.
Generating training data
You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.
Official modules
Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:
Publishing your modules
If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!
About
A modular telegram bot and group butler that aims to understand your text messages.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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JarvisButlerBot
A modular telegram bot and group butler that aims to understand your text messages.
Setup
Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.
To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder.
You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).
Developing a module
Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).
Install JarvisButlerBot.ModuleCore from NuGet.
In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:
usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}
If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:
[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…
Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):
[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}
This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.
For your module class to compile, you will have to override several things:
  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.
Generating training data
You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.
Official modules
Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:
Publishing your modules
If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!
About
A modular telegram bot and group butler that aims to understand your text messages.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
JarvisButlerBot
A modular telegram bot and group butler that aims to understand your text messages.
Setup
Download a release or build the source yourself, execute the JarvisButlerBot.exe and enter your Telegram Bot Token.
To install a module, copy the modules output dll file into the %APPDATA%\Crazypokemondev\JarvisButlerBot\modules folder and put all its dependency dll files into the %APPDATA%\Crazypokemondev\JarvisButlerBot\lib folder.
You can skip any files that JarvisButlerBot itself depends on (those will already be loaded).
Developing a module
Create a .NET Framework Class Library project (currently, JARVIS runs on .NET Framework 4.7.2).
Install JarvisButlerBot.ModuleCore from NuGet.
In the library project, create a public class anywhere you like. Annotate it with the JarvisModuleAttribute and have it derive from JarvisModule like this:
usingJarvisModuleCore.Classes;usingJarvisModuleCore.ML;
…
[JarvisModule]publicclassExampleModule:JarvisModule{
…
}
If your module depends on any other libraries (dll files that are copied into the execution directory), add them to the lib folder as mentioned above and specify their file names in the JarvisModuleAttribute like this:
[JarvisModule(newstring[]{"ExampleDependency.dll"})]publicclassExampleModule:JarvisModule
…
Any task that JARVIS should be able to execute must be public, non-static and in a module class, annotated and typed like this (the async keyword can be left out, if you want):
[JarvisTask("example.taskid")]publicasyncvoidExampleTask(Telegram.Bot.Types.Messagemessage,Jarvisjarvis){
…
}
This method will be called every time JARVIS either recognizes one of the commands you set in the attribute or the ML module predicts your Task ID for a message. The Message will not necessarily be a text message, but it will definitely contain text as either a caption, normal text or the question of a poll.
For your module class to compile, you will have to override several things:
  • Id: a unique identifier string for your module, recommended to be used as a prefix for your task ids
  • Name: a name for your module
  • Version: a version number for your module. If you don't know what to use, go with Version.Parse("1.0.0")
  • MLTrainingData: an array of TaskPredicitionInputs to train the model to recognize your tasks. I recommend about 50 elements per task. An example data set can be found here. For the prediction, the bots individual username will be replaced by @Username, usernames of other users by @User and inline mentions by @Mention.
Generating training data
You can ask Jarvis to start saving your messages, he will then start doing so while still responding as normal. Once you ask him to stop, or if you're not a global admin, once you've hit 50 messages, he'll send you all the data of the messages he received from you, as c# code, with the taskid %taskid%, so you can just go and replace that with whatever task you want to use the data for! Formerly, this generated JSON, however this seemed more convenient to me.
Official modules
Apart from the default modules that are included in the main repository and releases, there currently is one other module that is being developed by the creator of the JARVIS bot:
Publishing your modules
If you wrote your own module and want it to be added to @JarvisButlerBot on Telegram, message me at @Olfi01, I will happily add it if I think it fits!
About
A modular telegram bot and group butler that aims to understand your text messages.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages