Sessions and Storing Data (built-in)

While you can always just write you own code to connect to a data storage of your choice, grammY supports a very convenient storage pattern called sessions.

Jump down if you know how sessions work.

Why Must We Think About Storage?

In opposite to regular user accounts on Telegram, bots have limited cloud storage in the Telegram cloud. As a result, there are a few things you cannot do with bots:

You cannot access old messages that your bot received.
You cannot access old messages that your bot sent.
You cannot get a list of all chats with your bot.
More things, e.g. no media overview, etc

Basically, it boils down to the fact that a bot only has access to the information of the currently incoming update (e.g. message), i.e. the information that is available on the context object ctx.

Consequently, if you do want to access old data, you have to store it as soon as it arrives. This means that you must have a data storage, such as a file, a database, or an in-memory storage.

Of course, grammY has you covered here: you don’t have to host this yourself. You can just use the grammY session storage which needs zero setup and is free forever.

Naturally, there are plenty of other services that offer data storage as a service, and grammY integrates seamlessly with them, too. If you want to run your own database, rest assured that grammY supports this equally well. Scroll down to see which integrations are currently available.

What Are Sessions?

It is a very common thing for bots to store some piece of data per chat. For example, let’s say we want to build a bot that counts the number of times that a message contains the pizza emoji 🍕 in its text. This bot could be added to a group, and it can tell you how much you and your friends like pizza.

When our pizza bot receives a message, it has to remember how many times it saw a 🍕 in that chat before. Your pizza count should of course not change when your sister adds the pizza bot to her group chat, so what we really want is to store one counter per chat.

Sessions are an elegant way to store data per chat. You would use the chat identifier as the key in your database, and a counter as the value. In this case, we would call the chat identifier the session key. (You can read more about session keys down here.) Effectively, your bot will store a map from a chat identifier to some custom session data, i.e. something like this:

json

{
  "424242": { "pizzaCount": 24 },
  "987654": { "pizzaCount": 1729 }
}

When we say database, we really mean any data storage solution. This includes files, cloud storage, or anything else.

Okay, but what are sessions now?

We can install middleware on the bot that will provide a chat’s session data on ctx.session for every update. The installed plugin will do something before and after our handlers are called:

Before our middleware. The session plugin loads the session data for the current chat from the database. It stores the data on the context object under ctx.session.
Our middleware runs. We can read ctx.session to inspect which value was in the database. For example, if a message is sent to the chat with the identifier 424242, it would be ctx.session = { pizzaCount: 24 } while our middleware runs (at least with the example database state above). We can also modify ctx.session arbitrarily, so we can add, remove, and change fields as we like.
After our middleware. The session middleware makes sure that the data is written back to the database. Whatever the value of ctx.session is after the middleware is done executing, it will be saved in the database.

As a result, we never have to worry about actually communicating with the data storage anymore. We just modify the data in ctx.session, and the plugin will take care of the rest.

When to Use Sessions

Skip ahead if you already know that you want to use sessions.

You may think, this is great, I never have to worry about databases again! And you are right, sessions are an ideal solution—but only for some types of data.

In our experience, there are use cases where sessions truly shine. On the other hand, there are cases where a traditional database may be better suited.

This comparison may help you decide whether to use sessions or not.

	Sessions	Database
Access	one isolated storage per chat	access same data from multiple chats
Sharing	data is only used by bot	data is used by other systems (e.g. by a connected web server)
Format	any JavaScript objects: strings, numbers, arrays, and so on	any data (binary, files, structured, etc)
Size per chat	preferably less than ~3 MB per chat	any size
Exclusive feature	Required by some grammY plugins.	Supports database transactions.

This does not mean that things cannot work if you pick sessions/databases over the other. For example, you can of course store large binary data in your session. However, your bot would not perform as well as it could otherwise, so we recommend using sessions only where they make sense.

How to Use Sessions

You can add session support to grammY by using the built-in session middleware.

Example Usage

Here is an example bot that counts messages containing a pizza emoji 🍕:

TypeScriptJavaScriptDeno

import { Bot, Context, session, SessionFlavor } from "grammy";

// Define the shape of our session.
interface SessionData {
  pizzaCount: number;
}

// Flavor the context type to include sessions.
type MyContext = Context & SessionFlavor<SessionData>;

const bot = new Bot<MyContext>("");

// Install session middleware, and define the initial session value.
function initial(): SessionData {
  return { pizzaCount: 0 };
}
bot.use(session({ initial }));

bot.command("hunger", async (ctx) => {
  const count = ctx.session.pizzaCount;
  await ctx.reply(`Your hunger level is ${count}!`);
});

bot.hears(/.*🍕.*/, (ctx) => ctx.session.pizzaCount++);

bot.start();

const { Bot, session } = require("grammy");

const bot = new Bot("");

// Install session middleware, and define the initial session value.
function initial() {
  return { pizzaCount: 0 };
}
bot.use(session({ initial }));

bot.command("hunger", async (ctx) => {
  const count = ctx.session.pizzaCount;
  await ctx.reply(`Your hunger level is ${count}!`);
});

bot.hears(/.*🍕.*/, (ctx) => ctx.session.pizzaCount++);

bot.start();

import {
  Bot,
  Context,
  session,
  SessionFlavor,
} from "https://deno.land/x/grammy@v1.32.0/mod.ts";

// Define shape of our session.
interface SessionData {
  pizzaCount: number;
}

// Flavor the context type to include sessions.
type MyContext = Context & SessionFlavor<SessionData>;

const bot = new Bot<MyContext>("");

// Install session middleware, and define the initial session value.
function initial(): SessionData {
  return { pizzaCount: 0 };
}
bot.use(session({ initial }));

bot.command("hunger", async (ctx) => {
  const count = ctx.session.pizzaCount;
  await ctx.reply(`Your hunger level is ${count}!`);
});

bot.hears(/.*🍕.*/, (ctx) => ctx.session.pizzaCount++);

bot.start();

Note how we also have to adjust the context type to make the session available on it. The context flavor is called SessionFlavor.

Initial Session Data

When a user first contacts your bot, no session data is available for them. It is therefore important that you specify the initial option for the session middleware. Pass a function that generates a new object with initial session data for new chats.

// Creates a new object that will be used as initial session data.
function createInitialSessionData() {
  return {
    pizzaCount: 0,
    // more data here
  };
}
bot.use(session({ initial: createInitialSessionData }));

Same but much shorter:

bot.use(session({ initial: () => ({ pizzaCount: 0 }) }));

Sharing Objects

Make sure to always create a new object. Do NOT do this:

// DANGER, BAD, WRONG, STOP
const initialData = { pizzaCount: 0 }; // NOPE
bot.use(session({ initial: () => initialData })); // EVIL

If you would do this, several chats might share the same session object in memory. Hence, changing the session data in one chat may accidentally impact the session data in the other chat.

You may also omit the initial option entirely, even though you are well advised not to do that. If you don’t specify it, reading ctx.session will throw an error for new users.

Session Keys

This section describes an advanced feature that most people do not have to worry about. You may want to continue with the section about storing your data.

You can specify which session key to use by passing a function called getSessionKey to the options. That way, you can fundamentally change the way how the session plugin works. By default, data is stored per chat. Using getSessionKey allows you to store data per user, or per user-chat combination, or however you want. Here are three examples:

TypeScriptJavaScript

// Stores data per chat (default).
function getSessionKey(ctx: Context): string | undefined {
  // Let all users in a group chat share the same session,
  // but give an independent private one to each user in private chats
  return ctx.chat?.id.toString();
}

// Stores data per user.
function getSessionKey(ctx: Context): string | undefined {
  // Give every user their personal session storage
  // (will be shared across groups and in their private chat)
  return ctx.from?.id.toString();
}

// Stores data per user-chat combination.
function getSessionKey(ctx: Context): string | undefined {
  // Give every user their one personal session storage per chat with the bot
  // (an independent session for each group and their private chat)
  return ctx.from === undefined || ctx.chat === undefined
    ? undefined
    : `${ctx.from.id}/${ctx.chat.id}`;
}

bot.use(session({ getSessionKey }));

// Stores data per chat (default).
function getSessionKey(ctx) {
  // Let all users in a group chat share the same session,
  // but give an independent private one to each user in private chats
  return ctx.chat?.id.toString();
}

// Stores data per user.
function getSessionKey(ctx) {
  // Give every user their personal session storage
  // (will be shared across groups and in their private chat)
  return ctx.from?.id.toString();
}

// Stores data per user-chat combination.
function getSessionKey(ctx) {
  // Give every user their one personal session storage per chat with the bot
  // (an independent session for each group and their private chat)
  return ctx.from === undefined || ctx.chat === undefined
    ? undefined
    : `${ctx.from.id}/${ctx.chat.id}`;
}

bot.use(session({ getSessionKey }));

Whenever getSessionKey returns undefined, ctx.session will be undefined. For example, the default session key resolver will not work for poll/poll_answer updates or inline_query updates because they do not belong to a chat (ctx.chat is undefined).

Session Keys and Webhooks

When you are running your bot on webhooks, you should avoid using the option getSessionKey. Telegram sends webhooks sequentially per chat, so the default session key resolver is the only implementation that guarantees not to cause data loss.

If you must use the option (which is of course still possible), you should know what you are doing. Make sure you understand the consequences of this configuration by reading this article and especially this one.

Chat Migrations

If you are using sessions for groups, you should be aware that Telegram migrates regular groups to supergroups under certain circumstances (e.g. here).

This migration only occurs once for each group, but it can cause inconsistencies. This is because the migrated chat is technically a completely different chat that has a different identifier, and hence its session will be identified differently.

Currently, there is no safe solution for this problem because messages from the two chats are also differently identified. This can lead to data races. However, there are several ways of dealing with this issue:

Ignoring the problem. The bot’s session data will effectively reset when a group is migrated. Simple, reliable, default behavior, but potentially unexpected once per chat. For example, if a migration happens while a user is in a conversation powered by the conversations plugin, the conversation will be reset.
Only storing temporary data (or data with timeouts) in the session, and using a database for the important things that need to be migrated when a chat migrates. This can then use transactions and custom logic to handle concurrent data access from the old and the new chat. A lot of effort and has a performance cost, but the only truly reliable way to solve this problem.
It is theoretically possible to implement a workaround that matches both chats without guarantee of reliability. The Telegram Bot API sends a migration update for each of the two chats once the migration was triggered (see the properties migrate_to_chat_id or migrate_from_chat_id in the Telegram API Docs). The issue is that there is no guarantee that these messages are sent before a new message in the supergroup appears. Hence, the bot could receive a message from the new supergroup before it is aware of any migration and thus, it can not match the two chats, resulting in the aforementioned problems.
Another workaround would be to limit the bot only for supergroups with filtering (or limit only session related features to supergroups). However, this shifts the problematic / inconvenience to the users.
Letting the users decide explicitly. (“This chat was migrated, do you want to transfer the bot data?”) Much more reliable and transparent than automatic migrations due to the artificially added delay, but worse UX.

Finally, it is up to the developer to decide how to deal with this edge case. Depending on the bot functionalities one might choose one way or another. If the data in question is short-lived (e.g. temporary, timeouts involved) the migration is less of a problem. A user would experience the migration as a hiccup (if the timing is bad) and would simply have to rerun the feature.

Ignoring the problem is surely the easiest way, nevertheless it is important to know about this behavior. Otherwise it can cause confusion and might cost hours of debugging time.

Storing Your Data

In all examples above, the session data is stored in your RAM, so as soon as your bot is stopped, all data is lost. This is convenient when you develop your bot or if you run automatic tests (no database setup needed), however, that is most likely not desired in production. In production, you would want to persist your data, for example in a file, a database, or some other storage.

You should use the storage option of the session middleware to connect it to your datastore. There may already be a storage adapter written for grammY that you can use (see below), but if not, it usually only takes 5 lines of code to implement one yourself.

Known Storage Adapters

By default, sessions will be stored in your memory by the built-in storage adapter. You can also use persistent sessions that grammY offers for free, or connect to external storages.

This is how you can install one of the storage adapters from below.

const storageAdapter = ... // depends on setup

bot.use(session({
  initial: ...
  storage: storageAdapter,
}));

RAM (default)

By default, all data will be stored in RAM. This means that all sessions are lost as soon as your bot stops.

You can use the MemorySessionStorage class (API Reference) from the grammY core package if you want to configure further things about storing data in RAM.

bot.use(session({
  initial: ...
  storage: new MemorySessionStorage() // also the default value
}));

Free Storage

The free storage is meant to be used in hobby projects. Production-scale applications should host their own database. The list of supported integrations of external storage solutions is down here.

A benefit of using grammY is that you get access to free cloud storage. It requires zero setup—all authentication is done using your bot token. Check out the repository!

It is very easy to use:

TypeScriptJavaScriptDeno

import { freeStorage } from "@grammyjs/storage-free";

bot.use(session({
  initial: ...
  storage: freeStorage<SessionData>(bot.token),
}));

const { freeStorage } = require("@grammyjs/storage-free");

bot.use(session({
  initial: ...
  storage: freeStorage(bot.token),
}));

import { freeStorage } from "https://deno.land/x/grammy_storages@v2.4.2/free/src/mod.ts";

bot.use(session({
  initial: ...
  storage: freeStorage<SessionData>(bot.token),
}));

Done! Your bot will now use a persistent data storage.

Here is a full example bot that you can copy to try it out.

TypeScriptJavaScriptDeno

import { Bot, Context, session, SessionFlavor } from "grammy";
import { freeStorage } from "@grammyjs/storage-free";

// Define the session structure.
interface SessionData {
  count: number;
}
type MyContext = Context & SessionFlavor<SessionData>;

// Create the bot and register the session middleware.
const bot = new Bot<MyContext>("");

bot.use(
  session({
    initial: () => ({ count: 0 }),
    storage: freeStorage<SessionData>(bot.token),
  }),
);

// Use persistent session data in update handlers.
bot.on("message", async (ctx) => {
  ctx.session.count++;
  await ctx.reply(`Message count: ${ctx.session.count}`);
});

bot.catch((err) => console.error(err));
bot.start();

const { Bot, session } = require("grammy");
const { freeStorage } = require("@grammyjs/storage-free");

// Create the bot and register the session middleware.
const bot = new Bot("");

bot.use(
  session({
    initial: () => ({ count: 0 }),
    storage: freeStorage(bot.token),
  }),
);

// Use persistent session data in update handlers.
bot.on("message", async (ctx) => {
  ctx.session.count++;
  await ctx.reply(`Message count: ${ctx.session.count}`);
});

bot.catch((err) => console.error(err));
bot.start();

import {
  Bot,
  Context,
  session,
  SessionFlavor,
} from "https://deno.land/x/grammy@v1.32.0/mod.ts";
import { freeStorage } from "https://deno.land/x/grammy_storages@v2.4.2/free/src/mod.ts";

// Define the session structure.
interface SessionData {
  count: number;
}
type MyContext = Context & SessionFlavor<SessionData>;

// Create the bot and register the session middleware.
const bot = new Bot<MyContext>("");

bot.use(
  session({
    initial: () => ({ count: 0 }),
    storage: freeStorage<SessionData>(bot.token),
  }),
);

// Use persistent session data in update handlers.
bot.on("message", async (ctx) => {
  ctx.session.count++;
  await ctx.reply(`Message count: ${ctx.session.count}`);
});

bot.catch((err) => console.error(err));
bot.start();

External Storage Solutions

We maintain a collection of official storage adapters that allow you to store your session data in different places. Each of them will require you to register at a hosting provider, or to host your own storage solution.

Visit here to see a list of currently supported adapters and get guidance on using them.

Your storage is not supported? No problem!

Creating a custom storage adapter is extremely simple. The storage option works with any object that adheres to this interface, so you can connect to your storage just in a few lines of code.

If you published your own storage adapter, feel free to edit this page and link it here, so that other people can use it.

All storage adapters can be installed in the same way. First, you should look out for the package name of the adapter of your choice. For example, the storage adapter for Supabase is called supabase.

On Node.js, you can install the adapters via npm i @grammyjs/storage-<name>. For example, the storage adapter for Supabase can be installed via npm i @grammyjs/storage-supabase.

On Deno, all storage adapters are published in the same Deno module. You can then import the adapter you need from its subpath at https://deno.land/x/grammy_storages/<adapter>/src/mod.ts. For example, the storage adapter for Supabase can be imported from https://deno.land/x/grammy_storages/supabase/src/mod.ts.

Check out the respective repositories about each individual setup. They contain information about how to connect them to your storage solution.

You may also want to scroll down to see how the session plugin is able to enhance any storage adapter.

Multi Sessions

The session plugin is able to store different fragments of your session data in different places. Basically, this works as if you would install multiple independent instances of the the session plugin, each with a different configuration.

Each of these data fragments will have a name under which they can store their data. You will then be able to access ctx.session.foo and ctx.session.bar and these values were loaded from different data storages, and they will also be written back to different data storages. Naturally, you can also use the same storage with different configuration.

It is also possible to use different session keys for each fragment. As a result, you can store some data per chat and some data per user.

If you are using grammY runner, make sure to configure sequentialize correctly by returning all session keys as constraints from the function.

You can use this feature by passing type: "multi" to the session configuration. In turn, you will need to configure each fragment with its own config.

bot.use(
  session({
    type: "multi",
    foo: {
      // these are also the default values
      storage: new MemorySessionStorage(),
      initial: () => undefined,
      getSessionKey: (ctx) => ctx.chat?.id.toString(),
    },
    bar: {
      initial: () => ({ prop: 0 }),
      storage: freeStorage(bot.token),
    },
    baz: {},
  }),
);

Note that you must add a configuration entry for every fragment you want to use. If you wish to use the default configuration, you can specify an empty object (such as we do for baz in the above example).

Your session data will still consist of an object with multiple properties. This is why your context flavor does not change. The above example could use this interface when customizing the context object:

interface SessionData {
  foo?: string;
  bar: { prop: number };
  baz: { width?: number; height?: number };
}

You can then keep using SessionFlavor<SessionData> for your context object.

Lazy Sessions

This section describes a performance optimization that most people do not have to worry about.

Lazy sessions is an alternative implementation of sessions that can significantly reduce the database traffic of your bot by skipping superfluous read and write operations.

Let’s assume that your bot is in a group chat where it does not respond to regular text messages, but only to commands. Without sessions, this would happen:

Update with new text message is sent to your bot.
No handler is invoked, so no action is taken.
The middleware completes immediately.

As soon as you install default (strict) sessions, which directly provide the session data on the context object, this happens:

Update with new text message is sent to your bot.
Session data is loaded from session storage (e.g. database).
No handler is invoked, so no action is taken.
Identical session data is written back to session storage.
The middleware completes, and has performed a read and a write to the data storage.

Depending on the nature of your bot, this may lead to a lot of superfluous reads and writes. Lazy sessions allow you to skip steps 2. and 4. if it turns out that no invoked handler needs session data. In that case, no data will be read from the data storage, nor written back to it.

This is achieved by intercepting access to ctx.session. If no handler is invoked, then ctx.session will never be accessed. Lazy sessions use this as an indicator to prevent database communication.

In practice, instead of having the session data available under ctx.session, you will now have a promise of the session data available under ctx.session.

// Default sessions (strict sessions)
bot.command("settings", async (ctx) => {
  // `session` is the session data
  const session = ctx.session;
});

// Lazy sessions
bot.command("settings", async (ctx) => {
  // `promise` is a Promise of the session data, and
  const promise = ctx.session;
  // `session` is the session data
  const session = await ctx.session;
});

If you never access ctx.session, no operations will be performed, but as soon as you access the session property on the context object, the read operation will be triggered. If you never trigger the read (or directly assign a new value to ctx.session), we know that we also won’t need to write any data back, because there is no way it could have been altered. Consequently, we skip the write operation, too. As a result, we achieve minimal read and write operations, but you can use session almost identical to before, just with a few async and await keywords mixed into your code.

So what is necessary to use lazy sessions instead of the default (strict) ones? You mainly have to do three things:

Flavor your context with LazySessionFlavor instead of SessionFlavor. They work the same way, just that ctx.session is wrapped inside a promise for the lazy variant.
Use lazySession instead of session to register your session middleware.
Always put an inline await ctx.session instead of ctx.session everywhere in your middleware, for both reads and writes. Don’t worry: You can await the promise with your session data as many times as you want, but you will always refer to the same value, so there are never going to be duplicate reads for an update.

Note that with lazy sessions you can assign both objects and promises of objects to ctx.session. If you set ctx.session to be a promise, it will be awaited before writing the data back to the data storage. This would allow for the following code:

bot.command("reset", async (ctx) => {
  // Much shorter than having to `await ctx.session` first:
  ctx.session = ctx.session.then((stats) => {
    stats.counter = 0;
  });
});

One may argue well that explicitly using await is preferable over assigning a promise to ctx.session, the point is that you could do this if you like that style better for some reason.

Plugins That Need Sessions

Plugin developers that make use of ctx.session should always allow users to pass SessionFlavor | LazySessionFlavor and hence support both modes. In the plugin code, simply await ctx.session all the time: if a non-promise object is passed, this will simply be evaluated to itself, so you effectively only write code for lazy sessions and thus support strict sessions automatically.

Storage Enhancements

The session plugin is able to enhance any storage adapter by adding more features to the storage: timeouts and migrations.

They can be installed using the enhanceStorage function.

// Use the enhanced storage adapter.
bot.use(
  session({
    storage: enhanceStorage({
      storage: freeStorage(bot.token), // adjust this
      // more config here
    }),
  }),
);

You can also use both at the same time.

Timeouts

The timeouts enhancement can add an expiry date to the session data. This means that you can specify a time period, and if the session is never changed during this time, the data for the particular chat will be deleted.

You can use session timeouts via the millisecondsToLive option.

const enhanced = enhanceStorage({
  storage,
  millisecondsToLive: 30 * 60 * 1000, // 30 min
});

Note that the actual deletion of the data will only happen the next time the respective session data is read.

Migrations

Migrations are useful if you develop your bot further while there is already existing session data. You can use them if you want to change your session data without breaking all previous data.

This works by giving version numbers to the data, and then writing small migration functions. The migration functions define how to upgrade session data from one version to the next.

We will try to illustrate this by example. Let’s say that you stored information about the pet of a user. So far, you only stored the names of the pets in a string array in ctx.session.petNames.

interface SessionData {
  petNames: string[];
}

Now, you get the idea that you also want to store the age of the pets.

You could do this:

interface SessionData {
  petNames: string[];
  petBirthdays?: number[];
}

This would not break your existing session data. However, this is not so great, because the names and the birthdays are now stored in different places. Ideally, your session data should look like this:

interface Pet {
  name: string;
  birthday?: number;
}

interface SessionData {
  pets: Pet[];
}

Migration functions let you transform the old string array into the new array of pet objects.

TypeScriptJavaScript

interface OldSessionData {
  petNames: string[];
}

function addBirthdayToPets(old: OldSessionData): SessionData {
  return {
    pets: old.petNames.map((name) => ({ name })),
  };
}

const enhanced = enhanceStorage({
  storage,
  migrations: {
    1: addBirthdayToPets,
  },
});

function addBirthdayToPets(old) {
  return {
    pets: old.petNames.map((name) => ({ name })),
  };
}

const enhanced = enhanceStorage({
  storage,
  migrations: {
    1: addBirthdayToPets,
  },
});

Whenever session data is read, the storage enhancement will check if the session data is already at version 1. If the version is lower (or missing because you were not using this feature before) then the migration function will be run. This upgrades the data to version 1. Hence, in your bot, you can always just assume that your session data has the most up to date structure, and the storage enhancement will take care of the rest and migrate your data as necessary.

As time evolves and your bot changes further, you can add more and more migration functions:

const enhanced = enhanceStorage({
  storage,
  migrations: {
    1: addBirthdayToPets,
    2: addIsFavoriteFlagToPets,
    3: addUserSettings,
    10: extendUserSettings,
    10.1: fixUserSettings,
    11: compressData,
  },
});

You can pick any JavaScript numbers as versions. No matter how far the session data for a chat has evolved, as soon as it is read, it will be migrated through the versions until it uses the most recent structure.

Types for Storage Enhancements

When you use storage enhancements, your storage adapter will have to store more data than just your session data. For example, it has to store the time when the session was last stored so that it can correctly expire the data upon timeout. In some cases, TypeScript will be able to infer the correct types for your storage adapter. However, more often than not, you need to annotate the types of the session data explicitly in several places.

The following example code snippet illustrates how to use the timeout enhancement with correct TypeScript types.

interface SessionData {
  count: number;
}

type MyContext = Context & SessionFlavor<SessionData>;

const bot = new Bot<MyContext>("");

bot.use(
  session({
    initial(): SessionData {
      return { count: 0 };
    },
    storage: enhanceStorage({
      storage: new MemorySessionStorage<Enhance<SessionData>>(),
      millisecondsToLive: 60_000,
    }),
  }),
);

bot.on("message", (ctx) => ctx.reply(`Chat count is ${ctx.session.count++}`));

bot.start();

Note that every storage adapter is able to take a type parameter. For example, for free sessions, you can use freeStorage<Enhance<SessionData>> instead of MemorySessionStorage<Enhance<SessionData>>. The same is true for all other storage adapters.

Plugin Summary

This plugin is built-in into the core of grammY. You don’t need to install anything to use it. Simply import everything from grammY itself.

Also, both the documentation and the API reference of this plugin are unified with the core package.

Sessions and Storing Data (built-in) ​

Why Must We Think About Storage? ​

What Are Sessions? ​

When to Use Sessions ​

How to Use Sessions ​

Example Usage ​

Initial Session Data ​

Session Keys ​

Chat Migrations ​

Storing Your Data ​

Known Storage Adapters ​

RAM (default) ​

Free Storage ​

External Storage Solutions ​

Multi Sessions ​

Lazy Sessions ​

Storage Enhancements ​

Timeouts ​

Migrations ​

Types for Storage Enhancements ​

Plugin Summary ​

Sessions and Storing Data (built-in)

Why Must We Think About Storage?

What Are Sessions?

When to Use Sessions

How to Use Sessions

Example Usage

Initial Session Data

Session Keys

Chat Migrations

Storing Your Data

Known Storage Adapters

RAM (default)

Free Storage

External Storage Solutions

Multi Sessions

Lazy Sessions

Storage Enhancements

Timeouts

Migrations

Types for Storage Enhancements

Plugin Summary