diff --git a/docs/core_docs/docs/integrations/chat/chrome_ai.mdx b/docs/core_docs/docs/integrations/chat/chrome_ai.mdx
new file mode 100644
index 000000000000..c13ba779e34a
--- /dev/null
+++ b/docs/core_docs/docs/integrations/chat/chrome_ai.mdx
@@ -0,0 +1,59 @@
+---
+sidebar_label: ChromeAI
+---
+
+import CodeBlock from "@theme/CodeBlock";
+
+# ChatChromeAI
+
+:::info
+This feature is **experimental** and is subject to change.
+:::
+
+:::note
+The `Built-in AI Early Preview Program` by Google is currently in beta. To apply for access or find more information, please visit [this link](https://developer.chrome.com/docs/ai/built-in).
+:::
+
+ChatChromeAI leverages the webGPU and Gemini Nano to run LLMs directly in the browser, without the need for an internet connection.
+This allows for running faster and private models without ever having data leave the consumers device.
+
+## Getting started
+
+Once you've been granted access to the program, follow all steps to download the model.
+
+Once downloaded, you can start using `ChatChromeAI` in the browser as follows:
+
+```typescript
+import { ChatChromeAI } from "@langchain/community/experimental/chat_models/chrome_ai";
+import { HumanMessage } from "@langchain/core/messages";
+
+const model = new ChatChromeAI({
+  temperature: 0.5, // Optional, defaults to 0.5
+  topK: 40, // Optional, defaults to 40
+});
+
+const message = new HumanMessage("Write me a short poem please");
+
+const response = await model.invoke([message]);
+```
+
+### Streaming
+
+`ChatChromeAI` also supports streaming chunks:
+
+```typescript
+import { AIMessageChunk } from "@langchain/core/messages";
+
+let fullMessage: AIMessageChunk | undefined = undefined;
+for await (const chunk of await model.stream([message])) {
+  if (!fullMessage) {
+    fullMessage = chunk;
+  } else {
+    fullMessage = fullMessage.concat(chunk);
+  }
+  console.log(fullMessage.content);
+}
+```
+
+We also have a simple demo application which you can copy to instantly start running `ChatChromeAI` in your browser.
+Navigate to the [README.md](https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-community/src/experimental/chrome_ai/app/README.md) in the `./app` directory of the integration for more instructions.
diff --git a/libs/langchain-community/.gitignore b/libs/langchain-community/.gitignore
index 4246a650f6df..1e47ea0ab61e 100644
--- a/libs/langchain-community/.gitignore
+++ b/libs/langchain-community/.gitignore
@@ -1030,6 +1030,10 @@ experimental/chat_models/ollama_functions.cjs
 experimental/chat_models/ollama_functions.js
 experimental/chat_models/ollama_functions.d.ts
 experimental/chat_models/ollama_functions.d.cts
+experimental/chat_models/chrome_ai.cjs
+experimental/chat_models/chrome_ai.js
+experimental/chat_models/chrome_ai.d.ts
+experimental/chat_models/chrome_ai.d.cts
 chains/graph_qa/cypher.cjs
 chains/graph_qa/cypher.js
 chains/graph_qa/cypher.d.ts
diff --git a/libs/langchain-community/langchain.config.js b/libs/langchain-community/langchain.config.js
index 7012d8e06c5a..e73c23b4938c 100644
--- a/libs/langchain-community/langchain.config.js
+++ b/libs/langchain-community/langchain.config.js
@@ -316,6 +316,7 @@ export const config = {
     "experimental/hubs/makersuite/googlemakersuitehub":
       "experimental/hubs/makersuite/googlemakersuitehub",
     "experimental/chat_models/ollama_functions": "experimental/chat_models/ollama_functions",
+    "experimental/chat_models/chrome_ai": "experimental/chat_models/chrome_ai/chat_models",
     // chains
     "chains/graph_qa/cypher": "chains/graph_qa/cypher"
   },
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 3ef6acbe7890..b7feada5ff7d 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -3022,6 +3022,15 @@
       "import": "./experimental/chat_models/ollama_functions.js",
       "require": "./experimental/chat_models/ollama_functions.cjs"
     },
+    "./experimental/chat_models/chrome_ai": {
+      "types": {
+        "import": "./experimental/chat_models/chrome_ai.d.ts",
+        "require": "./experimental/chat_models/chrome_ai.d.cts",
+        "default": "./experimental/chat_models/chrome_ai.d.ts"
+      },
+      "import": "./experimental/chat_models/chrome_ai.js",
+      "require": "./experimental/chat_models/chrome_ai.cjs"
+    },
     "./chains/graph_qa/cypher": {
       "types": {
         "import": "./chains/graph_qa/cypher.d.ts",
@@ -4067,6 +4076,10 @@
     "experimental/chat_models/ollama_functions.js",
     "experimental/chat_models/ollama_functions.d.ts",
     "experimental/chat_models/ollama_functions.d.cts",
+    "experimental/chat_models/chrome_ai.cjs",
+    "experimental/chat_models/chrome_ai.js",
+    "experimental/chat_models/chrome_ai.d.ts",
+    "experimental/chat_models/chrome_ai.d.cts",
     "chains/graph_qa/cypher.cjs",
     "chains/graph_qa/cypher.js",
     "chains/graph_qa/cypher.d.ts",
diff --git a/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/README.md b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/README.md
new file mode 100644
index 000000000000..d16118000176
--- /dev/null
+++ b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/README.md
@@ -0,0 +1,23 @@
+# ChatChromeAI
+
+This is a simple application designed to run in the browser that uses the webGPU and Gemini Nano.
+Gemini Nano is a LLM which Google Chrome has embedded in the browser. As of 06/26/2024 it is still in beta.
+To request access or find more information, please visit [this link](https://developer.chrome.com/docs/ai/built-in).
+
+## Getting Started
+
+To run this application, you'll first need to build the locally dependencies. From the root of the `langchain-ai/langchainjs` repo, run the following command:
+
+```bash
+yarn build --filter=@langchain/community --filter=@langchain/openai
+```
+
+Once the dependencies are built, navigate into this directory (`libs/langchain-community/src/experimental/chat_models/chrome_ai/app`) and run the following commands:
+
+```bash
+yarn install # install the dependencies
+
+yarn start # start the application
+```
+
+Then, open your browser and navigate to [`http://127.0.0.1:8080/src/chrome_ai.html`](http://127.0.0.1:8080/src/chrome_ai.html).
diff --git a/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/package.json b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/package.json
new file mode 100644
index 000000000000..461f8683a307
--- /dev/null
+++ b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/package.json
@@ -0,0 +1,16 @@
+{
+  "name": "chrome_ai",
+  "packageManager": "yarn@3.4.1",
+  "scripts": {
+    "start": "rm -rf ./dist && yarn webpack && yarn http-server -c-1 -p 8080"
+  },
+  "devDependencies": {
+    "http-server": "^14.0.1",
+    "webpack": "^5.92.1",
+    "webpack-cli": "^5.1.4"
+  },
+  "dependencies": {
+    "@langchain/community": "file:../../../../../",
+    "@langchain/openai": "file:../../../../../../langchain-openai"
+  }
+}
diff --git a/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/src/chrome_ai.html b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/src/chrome_ai.html
new file mode 100644
index 000000000000..f08f7131e587
--- /dev/null
+++ b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/src/chrome_ai.html
@@ -0,0 +1,111 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>ChatChromeAI Example</title>
+    <style>
+      body {
+        font-family: Arial, sans-serif;
+        max-width: 800px;
+        margin: 0 auto;
+        padding: 20px;
+        background-color: #f0f0f0;
+      }
+      h1 {
+        color: #333;
+        text-align: center;
+      }
+      button {
+        background-color: #4caf50;
+        border: none;
+        color: white;
+        padding: 10px 20px;
+        text-align: center;
+        text-decoration: none;
+        display: inline-block;
+        font-size: 16px;
+        margin: 4px 2px;
+        cursor: pointer;
+        border-radius: 4px;
+      }
+      #destroyButton {
+        background-color: #f44336;
+      }
+      form {
+        background-color: white;
+        padding: 20px;
+        border-radius: 8px;
+        box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
+      }
+      input[type="text"] {
+        width: 100%;
+        padding: 12px 20px;
+        margin: 8px 0;
+        box-sizing: border-box;
+        border: 2px solid #ccc;
+        border-radius: 4px;
+      }
+      #responseContainer {
+        background-color: white;
+        padding: 20px;
+        border-radius: 8px;
+        box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
+        margin-top: 20px;
+      }
+      .stats {
+        display: flex;
+        justify-content: space-around;
+        margin-top: 10px;
+      }
+      .stat-pill {
+        padding: 5px 10px;
+        border-radius: 20px;
+        font-size: 14px;
+        color: white;
+      }
+    </style>
+  </head>
+  <body>
+    <h1>LangChain.js🦜🔗 - ChatChromeAI Example</h1>
+
+    <button id="destroyButton">Destroy Model</button>
+
+    <form id="inputForm">
+      <label for="inputField">Enter your input:</label><br />
+      <input
+        type="text"
+        id="inputField"
+        name="inputField"
+        autocomplete="off"
+      /><br />
+      <button type="submit">Submit</button>
+    </form>
+
+    <div id="responseContainer">
+      <div id="responseText"></div>
+      <div id="statsContainer">
+        <div class="stats">
+          <span
+            class="stat-pill"
+            style="background-color: #3498db"
+            id="firstTokenTime"
+            >First Token: -- ms</span
+          >
+          <span
+            class="stat-pill"
+            style="background-color: #2ecc71"
+            id="totalTime"
+            >Total Time: -- ms</span
+          >
+          <span
+            class="stat-pill"
+            style="background-color: #e74c3c"
+            id="totalTokens"
+            >Total Tokens: --</span
+          >
+        </div>
+      </div>
+    </div>
+
+    <script src="../dist/bundle.js"></script>
+  </body>
+</html>
diff --git a/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/src/index.js b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/src/index.js
new file mode 100644
index 000000000000..1edd95feeec2
--- /dev/null
+++ b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/src/index.js
@@ -0,0 +1,68 @@
+import { ChatChromeAI } from "@langchain/community/experimental/chat_models/chrome_ai";
+import { encodingForModel } from "@langchain/core/utils/tiktoken";
+
+const model = new ChatChromeAI();
+const destroyButton = document.getElementById("destroyButton");
+const inputForm = document.getElementById("inputForm");
+const submitButton = inputForm.querySelector("button[type='submit']");
+
+// Initialize the model when the page loads
+window.addEventListener("load", async () => {
+  try {
+    await model.initialize();
+    destroyButton.disabled = false;
+    submitButton.disabled = false;
+  } catch (error) {
+    console.error("Failed to initialize model:", error);
+    alert("Failed to initialize model. Please try refreshing the page.");
+  }
+});
+
+destroyButton.addEventListener("click", () => {
+  model.destroy();
+  destroyButton.disabled = true;
+  submitButton.disabled = true;
+});
+
+inputForm.addEventListener("submit", async (event) => {
+  event.preventDefault();
+  const input = document.getElementById("inputField").value;
+  const humanMessage = ["human", input];
+
+  // Clear previous response
+  const responseTextElement = document.getElementById("responseText");
+  responseTextElement.textContent = "";
+
+  let fullMsg = "";
+  let timeToFirstTokenMs = 0;
+  let totalTimeMs = 0;
+  try {
+    const startTime = performance.now();
+    for await (const chunk of await model.stream(humanMessage)) {
+      if (timeToFirstTokenMs === 0) {
+        timeToFirstTokenMs = performance.now() - startTime;
+      }
+      fullMsg += chunk.content;
+      // Update the response element with the new content
+      responseTextElement.textContent = fullMsg;
+    }
+    totalTimeMs = performance.now() - startTime;
+  } catch (error) {
+    console.error("An error occurred:", error);
+    responseTextElement.textContent = "An error occurred: " + error.message;
+  }
+
+  const encoding = await encodingForModel("gpt2");
+  const numTokens = encoding.encode(fullMsg).length;
+
+  // Update the stat pills
+  document.getElementById(
+    "firstTokenTime"
+  ).textContent = `First Token: ${Math.round(timeToFirstTokenMs)} ms`;
+  document.getElementById("totalTime").textContent = `Total Time: ${Math.round(
+    totalTimeMs
+  )} ms`;
+  document.getElementById(
+    "totalTokens"
+  ).textContent = `Total Tokens: ${numTokens}`;
+});
diff --git a/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/webpack.config.js b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/webpack.config.js
new file mode 100644
index 000000000000..b61b991f68b1
--- /dev/null
+++ b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/webpack.config.js
@@ -0,0 +1,10 @@
+const path = require("path");
+
+module.exports = {
+  entry: "./src/index.js",
+  output: {
+    filename: "bundle.js",
+    path: path.resolve(__dirname, "dist"),
+  },
+  mode: "development",
+};
diff --git a/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/yarn.lock b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/yarn.lock
new file mode 100644
index 000000000000..86d7f91a365a
--- /dev/null
+++ b/libs/langchain-community/src/experimental/chat_models/chrome_ai/app/yarn.lock
@@ -0,0 +1,2622 @@
+# This file is generated by running "yarn install" inside your project.
+# Manual changes might be lost - proceed with caution!
+
+__metadata:
+  version: 6
+  cacheKey: 8
+
+"@discoveryjs/json-ext@npm:^0.5.0":
+  version: 0.5.7
+  resolution: "@discoveryjs/json-ext@npm:0.5.7"
+  checksum: 2176d301cc258ea5c2324402997cf8134ebb212469c0d397591636cea8d3c02f2b3cf9fd58dcb748c7a0dade77ebdc1b10284fa63e608c033a1db52fddc69918
+  languageName: node
+  linkType: hard
+
+"@jridgewell/gen-mapping@npm:^0.3.5":
+  version: 0.3.5
+  resolution: "@jridgewell/gen-mapping@npm:0.3.5"
+  dependencies:
+    "@jridgewell/set-array": ^1.2.1
+    "@jridgewell/sourcemap-codec": ^1.4.10
+    "@jridgewell/trace-mapping": ^0.3.24
+  checksum: ff7a1764ebd76a5e129c8890aa3e2f46045109dabde62b0b6c6a250152227647178ff2069ea234753a690d8f3c4ac8b5e7b267bbee272bffb7f3b0a370ab6e52
+  languageName: node
+  linkType: hard
+
+"@jridgewell/resolve-uri@npm:^3.1.0":
+  version: 3.1.2
+  resolution: "@jridgewell/resolve-uri@npm:3.1.2"
+  checksum: 83b85f72c59d1c080b4cbec0fef84528963a1b5db34e4370fa4bd1e3ff64a0d80e0cee7369d11d73c704e0286fb2865b530acac7a871088fbe92b5edf1000870
+  languageName: node
+  linkType: hard
+
+"@jridgewell/set-array@npm:^1.2.1":
+  version: 1.2.1
+  resolution: "@jridgewell/set-array@npm:1.2.1"
+  checksum: 832e513a85a588f8ed4f27d1279420d8547743cc37fcad5a5a76fc74bb895b013dfe614d0eed9cb860048e6546b798f8f2652020b4b2ba0561b05caa8c654b10
+  languageName: node
+  linkType: hard
+
+"@jridgewell/source-map@npm:^0.3.3":
+  version: 0.3.6
+  resolution: "@jridgewell/source-map@npm:0.3.6"
+  dependencies:
+    "@jridgewell/gen-mapping": ^0.3.5
+    "@jridgewell/trace-mapping": ^0.3.25
+  checksum: c9dc7d899397df95e3c9ec287b93c0b56f8e4453cd20743e2b9c8e779b1949bc3cccf6c01bb302779e46560eb45f62ea38d19fedd25370d814734268450a9f30
+  languageName: node
+  linkType: hard
+
+"@jridgewell/sourcemap-codec@npm:^1.4.10, @jridgewell/sourcemap-codec@npm:^1.4.14":
+  version: 1.4.15
+  resolution: "@jridgewell/sourcemap-codec@npm:1.4.15"
+  checksum: b881c7e503db3fc7f3c1f35a1dd2655a188cc51a3612d76efc8a6eb74728bef5606e6758ee77423e564092b4a518aba569bbb21c9bac5ab7a35b0c6ae7e344c8
+  languageName: node
+  linkType: hard
+
+"@jridgewell/trace-mapping@npm:^0.3.20, @jridgewell/trace-mapping@npm:^0.3.24, @jridgewell/trace-mapping@npm:^0.3.25":
+  version: 0.3.25
+  resolution: "@jridgewell/trace-mapping@npm:0.3.25"
+  dependencies:
+    "@jridgewell/resolve-uri": ^3.1.0
+    "@jridgewell/sourcemap-codec": ^1.4.14
+  checksum: 9d3c40d225e139987b50c48988f8717a54a8c994d8a948ee42e1412e08988761d0754d7d10b803061cc3aebf35f92a5dbbab493bd0e1a9ef9e89a2130e83ba34
+  languageName: node
+  linkType: hard
+
+"@langchain/community@file:../../../../../::locator=chrome_ai%40workspace%3A.":
+  version: 0.2.14
+  resolution: "@langchain/community@file:../../../../../#../../../../../::hash=6c19e0&locator=chrome_ai%40workspace%3A."
+  dependencies:
+    "@langchain/core": ~0.2.9
+    "@langchain/openai": ~0.1.0
+    binary-extensions: ^2.2.0
+    expr-eval: ^2.0.2
+    flat: ^5.0.2
+    js-yaml: ^4.1.0
+    langchain: 0.2.3
+    langsmith: ~0.1.30
+    uuid: ^9.0.0
+    zod: ^3.22.3
+    zod-to-json-schema: ^3.22.5
+  peerDependencies:
+    "@aws-crypto/sha256-js": ^5.0.0
+    "@aws-sdk/client-bedrock-agent-runtime": ^3.583.0
+    "@aws-sdk/client-bedrock-runtime": ^3.422.0
+    "@aws-sdk/client-dynamodb": ^3.310.0
+    "@aws-sdk/client-kendra": ^3.352.0
+    "@aws-sdk/client-lambda": ^3.310.0
+    "@aws-sdk/client-s3": ^3.310.0
+    "@aws-sdk/client-sagemaker-runtime": ^3.310.0
+    "@aws-sdk/client-sfn": ^3.310.0
+    "@aws-sdk/credential-provider-node": ^3.388.0
+    "@azure/search-documents": ^12.0.0
+    "@azure/storage-blob": ^12.15.0
+    "@browserbasehq/sdk": "*"
+    "@clickhouse/client": ^0.2.5
+    "@cloudflare/ai": "*"
+    "@datastax/astra-db-ts": ^1.0.0
+    "@elastic/elasticsearch": ^8.4.0
+    "@getmetal/metal-sdk": "*"
+    "@getzep/zep-cloud": ^1.0.6
+    "@getzep/zep-js": ^0.9.0
+    "@gomomento/sdk": ^1.51.1
+    "@gomomento/sdk-core": ^1.51.1
+    "@google-ai/generativelanguage": "*"
+    "@google-cloud/storage": ^6.10.1 || ^7.7.0
+    "@gradientai/nodejs-sdk": ^1.2.0
+    "@huggingface/inference": ^2.6.4
+    "@layerup/layerup-security": ^1.5.12
+    "@mendable/firecrawl-js": ^0.0.13
+    "@mlc-ai/web-llm": 0.2.46
+    "@mozilla/readability": "*"
+    "@neondatabase/serverless": "*"
+    "@notionhq/client": ^2.2.10
+    "@opensearch-project/opensearch": "*"
+    "@pinecone-database/pinecone": "*"
+    "@planetscale/database": ^1.8.0
+    "@premai/prem-sdk": ^0.3.25
+    "@qdrant/js-client-rest": ^1.8.2
+    "@raycast/api": ^1.55.2
+    "@rockset/client": ^0.9.1
+    "@smithy/eventstream-codec": ^2.0.5
+    "@smithy/protocol-http": ^3.0.6
+    "@smithy/signature-v4": ^2.0.10
+    "@smithy/util-utf8": ^2.0.0
+    "@spider-cloud/spider-client": ^0.0.21
+    "@supabase/postgrest-js": ^1.1.1
+    "@supabase/supabase-js": ^2.10.0
+    "@tensorflow-models/universal-sentence-encoder": "*"
+    "@tensorflow/tfjs-converter": "*"
+    "@tensorflow/tfjs-core": "*"
+    "@upstash/ratelimit": ^1.1.3
+    "@upstash/redis": ^1.20.6
+    "@upstash/vector": ^1.1.1
+    "@vercel/kv": ^0.2.3
+    "@vercel/postgres": ^0.5.0
+    "@writerai/writer-sdk": ^0.40.2
+    "@xata.io/client": ^0.28.0
+    "@xenova/transformers": ^2.5.4
+    "@zilliz/milvus2-sdk-node": ">=2.3.5"
+    apify-client: ^2.7.1
+    assemblyai: ^4.0.0
+    better-sqlite3: ">=9.4.0 <12.0.0"
+    cassandra-driver: ^4.7.2
+    cborg: ^4.1.1
+    cheerio: ^1.0.0-rc.12
+    chromadb: "*"
+    closevector-common: 0.1.3
+    closevector-node: 0.1.6
+    closevector-web: 0.1.6
+    cohere-ai: "*"
+    convex: ^1.3.1
+    couchbase: ^4.3.0
+    crypto-js: ^4.2.0
+    d3-dsv: ^2.0.0
+    discord.js: ^14.14.1
+    dria: ^0.0.3
+    duck-duck-scrape: ^2.2.5
+    epub2: ^3.0.1
+    faiss-node: ^0.5.1
+    firebase-admin: ^11.9.0 || ^12.0.0
+    google-auth-library: "*"
+    googleapis: ^126.0.1
+    hnswlib-node: ^3.0.0
+    html-to-text: ^9.0.5
+    ignore: ^5.2.0
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diff --git a/libs/langchain-community/src/experimental/chat_models/chrome_ai/chat_models.ts b/libs/langchain-community/src/experimental/chat_models/chrome_ai/chat_models.ts
new file mode 100644
index 000000000000..83c8e74171d3
--- /dev/null
+++ b/libs/langchain-community/src/experimental/chat_models/chrome_ai/chat_models.ts
@@ -0,0 +1,187 @@
+import {
+  SimpleChatModel,
+  type BaseChatModelParams,
+} from "@langchain/core/language_models/chat_models";
+import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
+import {
+  CallbackManagerForLLMRun,
+  Callbacks,
+} from "@langchain/core/callbacks/manager";
+import { BaseMessage, AIMessageChunk } from "@langchain/core/messages";
+import { ChatGenerationChunk } from "@langchain/core/outputs";
+import { IterableReadableStream } from "@langchain/core/utils/stream";
+
+export interface AI {
+  canCreateTextSession(): Promise<AIModelAvailability>;
+  createTextSession(options?: AITextSessionOptions): Promise<AITextSession>;
+  defaultTextSessionOptions(): Promise<AITextSessionOptions>;
+}
+
+export interface AITextSession {
+  prompt(input: string): Promise<string>;
+  promptStreaming(input: string): ReadableStream;
+  destroy(): void;
+  clone(): AITextSession;
+}
+
+export interface AITextSessionOptions {
+  topK: number;
+  temperature: number;
+}
+
+export const enum AIModelAvailability {
+  Readily = "readily",
+  AfterDownload = "after-download",
+  No = "no",
+}
+
+export interface ChromeAIInputs extends BaseChatModelParams {
+  topK?: number;
+  temperature?: number;
+  /**
+   * An optional function to format the prompt before sending it to the model.
+   */
+  promptFormatter?: (messages: BaseMessage[]) => string;
+}
+
+export interface ChromeAICallOptions extends BaseLanguageModelCallOptions {}
+
+function formatPrompt(messages: BaseMessage[]): string {
+  return messages
+    .map((message) => {
+      if (typeof message.content !== "string") {
+        throw new Error(
+          "ChatChromeAI does not support non-string message content."
+        );
+      }
+      return `${message._getType()}: ${message.content}`;
+    })
+    .join("\n");
+}
+
+/**
+ * To use this model you need to have the `Built-in AI Early Preview Program`
+ * for Chrome. You can find more information about the program here:
+ * @link https://developer.chrome.com/docs/ai/built-in
+ *
+ * @example
+ * ```typescript
+ * // Initialize the ChatChromeAI model.
+ * const model = new ChatChromeAI({
+ *   temperature: 0.5, // Optional. Default is 0.5.
+ *   topK: 40, // Optional. Default is 40.
+ * });
+ *
+ * // Call the model with a message and await the response.
+ * const response = await model.invoke([
+ *   new HumanMessage({ content: "My name is John." }),
+ * ]);
+ * ```
+ */
+export class ChatChromeAI extends SimpleChatModel<ChromeAICallOptions> {
+  session?: AITextSession;
+
+  temperature = 0.5;
+
+  topK = 40;
+
+  promptFormatter: (messages: BaseMessage[]) => string;
+
+  static lc_name() {
+    return "ChatChromeAI";
+  }
+
+  constructor(inputs?: ChromeAIInputs) {
+    super({
+      callbacks: {} as Callbacks,
+      ...inputs,
+    });
+    this.temperature = inputs?.temperature ?? this.temperature;
+    this.topK = inputs?.topK ?? this.topK;
+    this.promptFormatter = inputs?.promptFormatter ?? formatPrompt;
+  }
+
+  _llmType() {
+    return "chrome-ai";
+  }
+
+  /**
+   * Initialize the model. This method must be called before calling `.invoke()`.
+   */
+  async initialize() {
+    if (typeof window === "undefined") {
+      throw new Error("ChatChromeAI can only be used in the browser.");
+    }
+
+    const { ai } = window as any;
+    const canCreateTextSession = await ai.canCreateTextSession();
+    if (canCreateTextSession === AIModelAvailability.No) {
+      throw new Error("The AI model is not available.");
+    } else if (canCreateTextSession === AIModelAvailability.AfterDownload) {
+      throw new Error("The AI model is not yet downloaded.");
+    }
+
+    this.session = await ai.createTextSession({
+      topK: this.topK,
+      temperature: this.temperature,
+    });
+  }
+
+  /**
+   * Call `.destroy()` to free resources if you no longer need a session.
+   * When a session is destroyed, it can no longer be used, and any ongoing
+   * execution will be aborted. You may want to keep the session around if
+   * you intend to prompt the model often since creating a session can take
+   * some time.
+   */
+  destroy() {
+    if (!this.session) {
+      return console.log("No session found. Returning.");
+    }
+    this.session.destroy();
+  }
+
+  async *_streamResponseChunks(
+    messages: BaseMessage[],
+    _options: this["ParsedCallOptions"],
+    runManager?: CallbackManagerForLLMRun
+  ): AsyncGenerator<ChatGenerationChunk> {
+    if (!this.session) {
+      throw new Error("Session not found. Please call `.initialize()` first.");
+    }
+    const textPrompt = this.promptFormatter(messages);
+
+    const stream = this.session.promptStreaming(textPrompt);
+    const iterableStream = IterableReadableStream.fromReadableStream(stream);
+
+    let previousContent = "";
+    for await (const chunk of iterableStream) {
+      const newContent = chunk.slice(previousContent.length);
+      previousContent += newContent;
+      yield new ChatGenerationChunk({
+        text: newContent,
+        message: new AIMessageChunk({
+          content: newContent,
+          additional_kwargs: {},
+        }),
+      });
+      await runManager?.handleLLMNewToken(newContent);
+    }
+  }
+
+  async _call(
+    messages: BaseMessage[],
+    options: this["ParsedCallOptions"],
+    runManager?: CallbackManagerForLLMRun
+  ): Promise<string> {
+    const chunks = [];
+    for await (const chunk of this._streamResponseChunks(
+      messages,
+      options,
+      runManager
+    )) {
+      chunks.push(chunk.text);
+    }
+    return chunks.join("");
+  }
+}
diff --git a/libs/langchain-community/src/load/import_map.ts b/libs/langchain-community/src/load/import_map.ts
index d06053cbde26..06afe430b297 100644
--- a/libs/langchain-community/src/load/import_map.ts
+++ b/libs/langchain-community/src/load/import_map.ts
@@ -77,3 +77,4 @@ export * as utils__event_source_parse from "../utils/event_source_parse.js";
 export * as experimental__callbacks__handlers__datadog from "../experimental/callbacks/handlers/datadog.js";
 export * as experimental__graph_transformers__llm from "../experimental/graph_transformers/llm.js";
 export * as experimental__chat_models__ollama_functions from "../experimental/chat_models/ollama_functions.js";
+export * as experimental__chat_models__chrome_ai from "../experimental/chat_models/chrome_ai/chat_models.js";