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+183
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import type { BufferWindowMemoryInput } from '@langchain/classic/memory';
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import { BufferWindowMemory } from '@langchain/classic/memory';
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import {
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NodeConnectionTypes,
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type INodeType,
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type INodeTypeDescription,
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type ISupplyDataFunctions,
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type SupplyData,
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} from 'n8n-workflow';
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import { getSessionId } from '@utils/helpers';
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import { logWrapper, getConnectionHintNoticeField } from '@n8n/ai-utilities';
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import {
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sessionIdOption,
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sessionKeyProperty,
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contextWindowLengthProperty,
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expressionSessionKeyProperty,
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} from '../descriptions';
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class MemoryChatBufferSingleton {
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private static instance: MemoryChatBufferSingleton;
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private memoryBuffer: Map<
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string,
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{ buffer: BufferWindowMemory; created: Date; last_accessed: Date }
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>;
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private constructor() {
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this.memoryBuffer = new Map();
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}
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static getInstance(): MemoryChatBufferSingleton {
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if (!MemoryChatBufferSingleton.instance) {
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MemoryChatBufferSingleton.instance = new MemoryChatBufferSingleton();
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}
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return MemoryChatBufferSingleton.instance;
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}
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async getMemory(
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sessionKey: string,
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memoryParams: BufferWindowMemoryInput,
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): Promise<BufferWindowMemory> {
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await this.cleanupStaleBuffers();
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let memoryInstance = this.memoryBuffer.get(sessionKey);
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if (memoryInstance) {
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memoryInstance.last_accessed = new Date();
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} else {
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const newMemory = new BufferWindowMemory(memoryParams);
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memoryInstance = {
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buffer: newMemory,
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created: new Date(),
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last_accessed: new Date(),
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};
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this.memoryBuffer.set(sessionKey, memoryInstance);
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}
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return memoryInstance.buffer;
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}
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private async cleanupStaleBuffers(): Promise<void> {
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const oneHourAgo = new Date(Date.now() - 60 * 60 * 1000);
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for (const [key, memoryInstance] of this.memoryBuffer.entries()) {
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if (memoryInstance.last_accessed < oneHourAgo) {
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await this.memoryBuffer.get(key)?.buffer.clear();
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this.memoryBuffer.delete(key);
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}
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}
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}
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}
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export class MemoryBufferWindow implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Simple Memory',
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name: 'memoryBufferWindow',
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icon: 'fa:database',
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iconColor: 'black',
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group: ['transform'],
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version: [1, 1.1, 1.2, 1.3],
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description: 'Stores in n8n memory, so no credentials required',
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defaults: {
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name: 'Simple Memory',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Memory'],
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Memory: ['For beginners'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorybufferwindow/',
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},
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],
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},
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},
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builderHint: {
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message:
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'Reuse with multiple agents in the same workflow by connecting to multiple agent nodes so agents have a shared context.',
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},
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inputs: [],
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outputs: [NodeConnectionTypes.AiMemory],
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outputNames: ['Memory'],
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properties: [
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getConnectionHintNoticeField([NodeConnectionTypes.AiAgent]),
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{
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displayName:
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'This node stores memory locally in the n8n instance. It is not compatible with Queue Mode or Multi-Main setups, as memory will not be shared across workers. For production use with scaling, consider using an external memory store such as Redis, Postgres, or another persistent memory node.',
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name: 'scalingNotice',
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type: 'notice',
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default: '',
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},
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{
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displayName: 'Session Key',
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name: 'sessionKey',
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type: 'string',
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default: 'chat_history',
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description: 'The key to use to store the memory in the workflow data',
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displayOptions: {
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show: {
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'@version': [1],
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},
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},
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},
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{
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displayName: 'Session ID',
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name: 'sessionKey',
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type: 'string',
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default: '={{ $json.sessionId }}',
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description: 'The key to use to store the memory',
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displayOptions: {
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show: {
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'@version': [1.1],
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},
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},
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},
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{
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...sessionIdOption,
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displayOptions: {
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show: {
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'@version': [{ _cnd: { gte: 1.2 } }],
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},
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},
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},
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expressionSessionKeyProperty(1.3),
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sessionKeyProperty,
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contextWindowLengthProperty,
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],
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};
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async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
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const contextWindowLength = this.getNodeParameter('contextWindowLength', itemIndex) as number;
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const workflowId = this.getWorkflow().id;
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const memoryInstance = MemoryChatBufferSingleton.getInstance();
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const nodeVersion = this.getNode().typeVersion;
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let sessionId;
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if (nodeVersion >= 1.2) {
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sessionId = getSessionId(this, itemIndex);
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} else {
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sessionId = this.getNodeParameter('sessionKey', itemIndex) as string;
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}
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const memory = await memoryInstance.getMemory(`${workflowId}__${sessionId}`, {
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k: contextWindowLength,
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inputKey: 'input',
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memoryKey: 'chat_history',
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outputKey: 'output',
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returnMessages: true,
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});
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return {
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response: logWrapper(memory, this),
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};
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}
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}
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