conversation-memory

interface MemorySystem {
    // Buffer: Current conversation (in context)
    buffer: ConversationBuffer;
    // Short-term: Recent interactions (session)
    shortTerm: ShortTermMemory;
    // Long-term: Persistent across sessions
    longTerm: LongTermMemory;
    // Entity: Facts about people, places, things
    entity: EntityMemory;
}
 
class TieredMemory implements MemorySystem {
    async addMessage(message: Message): Promise<void> {
        // Always add to buffer
        this.buffer.add(message);
        // Extract entities
        const entities = await extractEntities(message);
        for (const entity of entities) {
            await this.entity.upsert(entity);
        }
        // Check for memorable content
        if (await isMemoryWorthy(message)) {
            await this.shortTerm.add({
                content: message.content,
                timestamp: Date.now(),
                importance: await scoreImportance(message)
            });
        }
    }
 
    async consolidate(): Promise<void> {
        // Move important short-term to long-term
        const memories = await this.shortTerm.getOld(24 * 60 * 60 * 1000);
        for (const memory of memories) {
            if (memory.importance > 0.7 || memory.referenced > 2) {
                await this.longTerm.add(memory);
            }
            await this.shortTerm.remove(memory.id);
        }
    }
 
    async buildContext(query: string): Promise<string> {
        const parts: string[] = [];
        // Relevant long-term memories
        const longTermRelevant = await this.longTerm.search(query, 3);
        if (longTermRelevant.length) {
            parts.push('## Relevant Memories\n' +
                longTermRelevant.map(m => `- ${m.content}`).join('\n'));
        }
        // Relevant entities
        const entities = await this.entity.getRelevant(query);
        if (entities.length) {
            parts.push('## Known Entities\n' +
                entities.map(e => `- ${e.name}: ${e.facts.join(', ')}`).join('\n'));
        }
        // Recent conversation
        const recent = this.buffer.getRecent(10);
        parts.push('## Recent Conversation\n' + formatMessages(recent));
 
        return parts.join('\n\n');
    }
}

interface Entity {
    id: string;
    name: string;
    type: 'person' | 'place' | 'thing' | 'concept';
    facts: Fact[];
    lastMentioned: number;
    mentionCount: number;
}
interface Fact {
    content: string;
    confidence: number;
    source: string;  // Which message this came from
    timestamp: number;
}
 
class EntityMemory {
    async extractAndStore(message: Message): Promise<void> {
        // Use LLM to extract entities and facts
        const extraction = await llm.complete(`
            Extract entities and facts from this message.
            Return JSON: { "entities": [
                { "name": "...", "type": "...", "facts": ["..."] }
            ]}
 
            Message: "${message.content}"
        `);
        const { entities } = JSON.parse(extraction);
        for (const entity of entities) {
            await this.upsert(entity, message.id);
        }
    }
 
    async upsert(entity: ExtractedEntity, sourceId: string): Promise<void> {
        const existing = await this.store.get(entity.name.toLowerCase());
        if (existing) {
            // Merge facts, avoiding duplicates
            for (const fact of entity.facts) {
                if (!this.hasSimilarFact(existing.facts, fact)) {
                    existing.facts.push({
                        content: fact,
                        confidence: 0.9,
                        source: sourceId,
                        timestamp: Date.now()
                    });
                }
            }
            existing.lastMentioned = Date.now();
            existing.mentionCount++;
            await this.store.set(existing.id, existing);
        } else {
            // Create new entity
            await this.store.set(entity.name.toLowerCase(), {
                id: generateId(),
                name: entity.name,
                type: entity.type,
                facts: entity.facts.map(f => ({
                    content: f,
                    confidence: 0.9,
                    source: sourceId,
                    timestamp: Date.now()
                })),
                lastMentioned: Date.now(),
                mentionCount: 1
            });
        }
    }
}

async function promptWithMemory(
    query: string,
    memory: MemorySystem,
    systemPrompt: string
): Promise<string> {
    // Retrieve relevant memories
    const relevantMemories = await memory.longTerm.search(query, 5);
    const entities = await memory.entity.getRelevant(query);
    const recentContext = memory.buffer.getRecent(5);
 
    // Build memory-augmented prompt
    const prompt = `
${systemPrompt}
 
## User Context
${entities.length ? `Known about user:\n${entities.map(e =>
    `- ${e.name}: ${e.facts.map(f => f.content).join('; ')}`
).join('\n')}` : ''}
 
${relevantMemories.length ? `Relevant past interactions:\n${relevantMemories.map(m =>
    `- [${formatDate(m.timestamp)}] ${m.content}`
).join('\n')}` : ''}
 
## Recent Conversation
${formatMessages(recentContext)}
 
## Current Query
${query}
    `.trim();
 
    const response = await llm.complete(prompt);
 
    // Extract any new memories from response
    await memory.addMessage({ role: 'assistant', content: response });
 
    return response;
}

// Implement memory lifecycle management
 
class ManagedMemory {
    // Limits
    private readonly SHORT_TERM_MAX = 100;
    private readonly LONG_TERM_MAX = 10000;
    private readonly CONSOLIDATION_INTERVAL = 24 * 60 * 60 * 1000;
 
    async add(memory: Memory): Promise<void> {
        // Score importance before storing
        const score = await this.scoreImportance(memory);
        if (score < 0.3) return;  // Don't store low-importance
 
        memory.importance = score;
        await this.shortTerm.add(memory);
 
        // Check limits
        await this.enforceShortTermLimit();
    }
 
    async enforceShortTermLimit(): Promise<void> {
        const count = await this.shortTerm.count();
        if (count > this.SHORT_TERM_MAX) {
            // Consolidate: move important to long-term, delete rest
            const memories = await this.shortTerm.getAll();
            memories.sort((a, b) => b.importance - a.importance);
 
            const toKeep = memories.slice(0, this.SHORT_TERM_MAX * 0.7);
            const toConsolidate = memories.slice(this.SHORT_TERM_MAX * 0.7);
 
            for (const m of toConsolidate) {
                if (m.importance > 0.7) {
                    await this.longTerm.add(m);
                }
                await this.shortTerm.remove(m.id);
            }
        }
    }
 
    async scoreImportance(memory: Memory): Promise<number> {
        const factors = {
            hasUserPreference: /prefer|like|don't like|hate|love/i.test(memory.content) ? 0.3 : 0,
            hasDecision: /decided|chose|will do|won't do/i.test(memory.content) ? 0.3 : 0,
            hasFactAboutUser: /my|I am|I have|I work/i.test(memory.content) ? 0.2 : 0,
            length: memory.content.length > 100 ? 0.1 : 0,
            userMessage: memory.role === 'user' ? 0.1 : 0,
        };
 
        return Object.values(factors).reduce((a, b) => a + b, 0);
    }
}

// Intelligent memory retrieval
 
async function retrieveRelevant(
    query: string,
    memories: MemoryStore,
    maxResults: number = 5
): Promise<Memory[]> {
    // 1. Semantic search
    const candidates = await memories.semanticSearch(query, maxResults * 3);
 
    // 2. Score relevance with context
    const scored = await Promise.all(candidates.map(async (m) => {
        const relevanceScore = await llm.complete(`
            Rate 0-1 how relevant this memory is to the query.
            Query: "${query}"
            Memory: "${m.content}"
            Return just the number.
        `);
        return { ...m, relevance: parseFloat(relevanceScore) };
    }));
 
    // 3. Filter low relevance
    const relevant = scored.filter(m => m.relevance > 0.5);
 
    // 4. Sort and limit
    return relevant
        .sort((a, b) => b.relevance - a.relevance)
        .slice(0, maxResults);
}

// Strict user isolation in memory
 
class IsolatedMemory {
    private getKey(userId: string, memoryId: string): string {
        // Namespace all keys by user
        return `user:${userId}:memory:${memoryId}`;
    }
 
    async add(userId: string, memory: Memory): Promise<void> {
        // Validate userId is authenticated
        if (!isValidUserId(userId)) {
            throw new Error('Invalid user ID');
        }
 
        const key = this.getKey(userId, memory.id);
        memory.userId = userId;  // Tag with user
        await this.store.set(key, memory);
    }
 
    async search(userId: string, query: string): Promise<Memory[]> {
        // CRITICAL: Filter by user in query
        return await this.store.search({
            query,
            filter: { userId: userId },  // Mandatory filter
            limit: 10
        });
    }
 
    async delete(userId: string, memoryId: string): Promise<void> {
        const memory = await this.get(userId, memoryId);
        // Verify ownership before delete
        if (memory.userId !== userId) {
            throw new Error('Access denied');
        }
        await this.store.delete(this.getKey(userId, memoryId));
    }
 
    // User data export (GDPR compliance)
    async exportUserData(userId: string): Promise<Memory[]> {
        return await this.store.getAll({ userId });
    }
 
    // User data deletion (GDPR compliance)
    async deleteUserData(userId: string): Promise<void> {
        const memories = await this.exportUserData(userId);
        for (const m of memories) {
            await this.store.delete(this.getKey(userId, m.id));
        }
    }
}

1. Design memory tiers
2. Implement storage and retrieval
3. Integrate with context management
4. Add consolidation and cleanup