@openclueo/mcp
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OpenClueo MCP Server - AI Personality Layer for Model Context Protocol
202 lines • 7.66 kB
JavaScript
import fs from 'fs/promises';
import path from 'path';
import { v4 as uuidv4 } from 'uuid';
export class MemoryManager {
memoryDir;
sessionId;
cache = new Map();
constructor(memoryDir = './memory') {
this.memoryDir = memoryDir;
this.sessionId = uuidv4();
this.ensureMemoryDir();
}
async ensureMemoryDir() {
try {
await fs.mkdir(this.memoryDir, { recursive: true });
}
catch (error) {
console.error('Failed to create memory directory:', error);
}
}
getFilePath(type) {
return path.join(this.memoryDir, `${type}.json`);
}
// Generic memory operations
async save(entry) {
try {
const filePath = this.getFilePath(entry.type);
const existing = await this.load(entry.type);
existing.push(entry);
// Keep only last 1000 entries per type
const trimmed = existing.slice(-1000);
await fs.writeFile(filePath, JSON.stringify(trimmed, null, 2));
// Update cache
this.cache.set(entry.type, trimmed);
}
catch (error) {
console.error(`Failed to save memory entry of type ${entry.type}:`, error);
}
}
async load(type) {
try {
// Check cache first
if (this.cache.has(type)) {
return this.cache.get(type);
}
const filePath = this.getFilePath(type);
const data = await fs.readFile(filePath, 'utf-8');
const entries = JSON.parse(data);
// Convert timestamp strings back to Date objects
const processedEntries = entries.map((entry) => ({
...entry,
timestamp: new Date(entry.timestamp)
}));
this.cache.set(type, processedEntries);
return processedEntries;
}
catch (error) {
// File doesn't exist or other error - return empty array
return [];
}
}
// Personality usage tracking
async recordPersonalityUsage(personalityConfig, context, presetId, success = true, userId) {
const entry = {
id: uuidv4(),
timestamp: new Date(),
userId,
sessionId: this.sessionId,
type: 'personality_usage',
data: {
personalityConfig,
presetId,
context,
success
}
};
await this.save(entry);
}
// Get personality suggestions based on context
async getPersonalitySuggestions(context, userId) {
const usages = await this.load('personality_usage');
// Filter by context and user (if provided)
const relevantUsages = usages.filter(usage => usage.data.context === context &&
(userId ? usage.userId === userId : true) &&
usage.data.success);
// Count frequency of personality configs
const personalityFreq = new Map();
relevantUsages.forEach(usage => {
const configKey = JSON.stringify(usage.data.personalityConfig);
const existing = personalityFreq.get(configKey);
if (existing) {
existing.count++;
}
else {
personalityFreq.set(configKey, { config: usage.data.personalityConfig, count: 1 });
}
});
// Return top 3 most used personalities for this context
return Array.from(personalityFreq.values())
.sort((a, b) => b.count - a.count)
.slice(0, 3)
.map(item => item.config);
}
// Record conversation
async recordConversation(messages, personality, outcome = 'success', userId) {
const entry = {
id: uuidv4(),
timestamp: new Date(),
userId,
sessionId: this.sessionId,
type: 'conversation',
data: {
messages,
personality,
outcome
}
};
await this.save(entry);
}
// Get recent conversations
async getRecentConversations(limit = 10, userId) {
const conversations = await this.load('conversation');
return conversations
.filter(conv => userId ? conv.userId === userId : true)
.sort((a, b) => b.timestamp.getTime() - a.timestamp.getTime())
.slice(0, limit);
}
// Project settings
async saveProjectSetting(projectPath, projectName, defaultPersonality, userId) {
const entry = {
id: uuidv4(),
timestamp: new Date(),
userId,
sessionId: this.sessionId,
type: 'project_setting',
data: {
projectPath,
projectName,
defaultPersonality
}
};
await this.save(entry);
}
async getProjectSetting(projectPath, userId) {
const settings = await this.load('project_setting');
const projectSetting = settings
.filter(setting => setting.data.projectPath === projectPath &&
(userId ? setting.userId === userId : true))
.sort((a, b) => b.timestamp.getTime() - a.timestamp.getTime())[0];
return projectSetting || null;
}
// Analytics and insights
async getUsageStats(userId) {
const usages = await this.load('personality_usage');
const userUsages = usages.filter(usage => userId ? usage.userId === userId : true);
// Count personalities
const personalityCount = new Map();
const contextCount = new Map();
let successCount = 0;
userUsages.forEach(usage => {
const configKey = JSON.stringify(usage.data.personalityConfig);
personalityCount.set(configKey, usage.data.personalityConfig);
const contextCount_current = contextCount.get(usage.data.context) || 0;
contextCount.set(usage.data.context, contextCount_current + 1);
if (usage.data.success)
successCount++;
});
const topPersonalities = Array.from(personalityCount.entries())
.map(([key, config]) => ({
config,
count: userUsages.filter(u => JSON.stringify(u.data.personalityConfig) === key).length
}))
.sort((a, b) => b.count - a.count)
.slice(0, 5);
const topContexts = Array.from(contextCount.entries())
.map(([context, count]) => ({ context, count }))
.sort((a, b) => b.count - a.count)
.slice(0, 5);
return {
totalUsages: userUsages.length,
topPersonalities,
topContexts,
successRate: userUsages.length > 0 ? successCount / userUsages.length : 0
};
}
// Clear old memories (older than specified days)
async cleanup(olderThanDays = 30) {
const cutoffDate = new Date();
cutoffDate.setDate(cutoffDate.getDate() - olderThanDays);
const types = ['personality_usage', 'preference', 'conversation', 'project_setting'];
for (const type of types) {
const entries = await this.load(type);
const filtered = entries.filter(entry => entry.timestamp > cutoffDate);
if (filtered.length !== entries.length) {
const filePath = this.getFilePath(type);
await fs.writeFile(filePath, JSON.stringify(filtered, null, 2));
this.cache.set(type, filtered);
}
}
}
}
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