feat(skills): introduce Mem0 skill graph with dedicated CLI and Vercel AI SDK skills (#4725)
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Saket Aryan
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# Mem0 Node.js / TypeScript SDK Reference
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Complete reference for the `mem0ai` npm package. Covers both the Platform client (managed API) and the Open Source self-hosted variant.
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---
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## Platform Client
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### Installation
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```bash
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npm install mem0ai
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export MEM0_API_KEY="m0-your-api-key"
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```
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### MemoryClient
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```typescript
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import MemoryClient from 'mem0ai';
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const client = new MemoryClient({ apiKey: 'm0-xxx' });
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```
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**Constructor:** `new MemoryClient({ apiKey })`. If `apiKey` is not provided, reads from `MEM0_API_KEY` environment variable.
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- HTTP library: `axios`
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- Timeout: 60 seconds
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- Base URL: `https://api.mem0.ai`
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- All methods are async (return `Promise`)
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---
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### Memory Methods
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#### add(messages, options?)
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Store new memories from messages.
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```typescript
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const messages = [
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{ role: 'user', content: "I'm a vegetarian and allergic to nuts." },
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{ role: 'assistant', content: "Got it! I'll remember that." },
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];
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await client.add(messages, { user_id: 'alice' });
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```
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| Parameter | Type | Description |
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|-----------|------|-------------|
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| `messages` | `Message[]` | Array of `{role, content}` objects |
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| `options.user_id` | string | User identifier |
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| `options.agent_id` | string | Agent identifier |
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| `options.app_id` | string | Application identifier |
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| `options.run_id` | string | Session identifier |
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| `options.metadata` | object | Custom key-value pairs |
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| `options.enable_graph` | boolean | Activate knowledge graph |
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| `options.infer` | boolean | If false, store raw text (default: true) |
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| `options.immutable` | boolean | Prevent future modification |
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| `options.expiration_date` | string | Auto-expiry (`YYYY-MM-DD`) |
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| `options.includes` | string | Preference filter for inclusion |
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| `options.excludes` | string | Preference filter for exclusion |
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**Returns:** `Promise<any>` -- list of events
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#### search(query, options?)
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Search memories by semantic similarity.
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```typescript
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const results = await client.search('dietary preferences', { user_id: 'alice' });
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for (const mem of results.results) {
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console.log(mem.memory, mem.score);
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}
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```
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| Parameter | Type | Description |
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|-----------|------|-------------|
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| `query` | string | Natural language search query |
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| `options.user_id` | string | Filter by user |
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| `options.agent_id` | string | Filter by agent |
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| `options.filters` | object | V2 filter object (`AND`/`OR`/`NOT`) |
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| `options.top_k` | number | Number of results (default: 10) |
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| `options.rerank` | boolean | Enable semantic reranking |
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| `options.threshold` | number | Minimum similarity (default: 0.3) |
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| `options.keyword_search` | boolean | Enable keyword search |
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| `options.enable_graph` | boolean | Include graph relations |
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| `options.filter_memories` | boolean | Precision filtering |
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**Returns:** `Promise<SearchResult>` -- `{results: [{id, memory, score, ...}], relations: [...]}`
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#### get(memoryId)
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```typescript
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const memory = await client.get('ea925981-...');
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```
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#### getAll(options?)
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Retrieve all memories. Requires at least one entity identifier in filters.
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```typescript
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const memories = await client.getAll({ user_id: 'alice' });
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// With filters
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const filtered = await client.getAll({
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filters: { AND: [{ user_id: 'alice' }, { categories: { contains: 'health' } }] },
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});
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```
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| Parameter | Type | Description |
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|-----------|------|-------------|
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| `options.user_id` | string | Filter by user |
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| `options.filters` | object | V2 filter object |
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| `options.page` | number | Page number |
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| `options.page_size` | number | Results per page |
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| `options.enable_graph` | boolean | Include graph relations |
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#### update(memoryId, data)
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```typescript
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await client.update('ea925981-...', { text: 'Updated: vegan since 2024' });
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await client.update('ea925981-...', { text: 'Updated', metadata: { verified: true } });
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```
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| Parameter | Type | Description |
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|-----------|------|-------------|
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| `memoryId` | string | Memory ID |
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| `data.text` | string | New content |
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| `data.metadata` | object | New metadata |
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| `data.timestamp` | string | New timestamp |
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#### delete(memoryId)
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```typescript
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await client.delete('ea925981-...');
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```
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#### deleteAll(options?)
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```typescript
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await client.deleteAll({ user_id: 'alice' });
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```
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#### history(memoryId)
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```typescript
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const history = await client.history('ea925981-...');
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// Returns: [{previous_value, new_value, action, timestamps}]
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```
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---
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### Batch Methods
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#### batchUpdate(memories)
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```typescript
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await client.batchUpdate([
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{ memoryId: 'uuid-1', text: 'Updated text' },
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{ memoryId: 'uuid-2', text: 'Another update' },
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]);
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```
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#### batchDelete(memories)
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```typescript
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await client.batchDelete(['uuid-1', 'uuid-2', 'uuid-3']);
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```
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---
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### User/Entity Management
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#### users()
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```typescript
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const users = await client.users();
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// Returns: {results: [{type: "user", name: "alice"}, ...]}
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```
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#### deleteUser(data) / deleteUsers(data)
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```typescript
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await client.deleteUser({ user_id: 'alice' }); // Single entity
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await client.deleteUsers({ agent_id: 'bot-1' }); // Flexible
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```
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---
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### Project Management
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```typescript
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// Get project config
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const config = await client.getProject({ fields: ['custom_categories'] });
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// Update project settings
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await client.updateProject({
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custom_instructions: 'Extract dietary preferences and health info',
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custom_categories: [{ health: 'Medical and dietary info' }],
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enable_graph: true,
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});
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```
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---
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### Webhooks
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```typescript
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// List
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const webhooks = await client.getWebhooks({ project_id: 'proj_123' });
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// Create
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const webhook = await client.createWebhook({
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url: 'https://your-app.com/webhook',
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name: 'Memory Logger',
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project_id: 'proj_123',
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event_types: ['memory_add', 'memory_update'],
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});
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// Update
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await client.updateWebhook({
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webhook_id: 'wh_123',
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name: 'Updated Logger',
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url: 'https://new-url.com',
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});
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// Delete
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await client.deleteWebhook({ webhook_id: 'wh_123' });
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```
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---
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### Feedback
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```typescript
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await client.feedback({
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memory_id: 'mem-123',
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feedback: 'POSITIVE',
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feedback_reason: 'Accurately captured preference',
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});
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```
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---
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### Export
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```typescript
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const exportReq = await client.createMemoryExport({
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schema: JSON.stringify({ type: 'object', properties: { name: { type: 'string' } } }),
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filters: { user_id: 'alice' },
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});
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const result = await client.getMemoryExport({ memory_export_id: exportReq.id });
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```
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---
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### TypeScript Types
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Key interfaces from `mem0.types.ts`:
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```typescript
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interface Message { role: string; content: string; }
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interface Memory { id: string; memory: string; user_id: string; categories: string[]; score?: number; /* ... */ }
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interface MemoryOptions { user_id?: string; agent_id?: string; app_id?: string; run_id?: string; metadata?: object; /* ... */ }
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interface SearchOptions { user_id?: string; filters?: object; top_k?: number; rerank?: boolean; threshold?: number; /* ... */ }
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interface MemoryHistory { id: string; memory_id: string; previous_value: string; new_value: string; action: string; /* ... */ }
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interface FeedbackPayload { memory_id: string; feedback: string; feedback_reason?: string; }
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interface WebhookCreatePayload { url: string; name: string; project_id: string; event_types: string[]; }
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enum OutputFormat { v1_0 = 'v1.0', v1_1 = 'v1.1' }
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enum API_VERSION { v1 = 'v1', v2 = 'v2' }
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```
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---
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## Open Source / Self-Hosted
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### Installation
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```bash
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npm install mem0ai
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```
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### Memory Class
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```typescript
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import { Memory } from 'mem0ai/oss';
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const m = new Memory(); // Uses default config
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```
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**Import:** `from 'mem0ai/oss'` (NOT the default export -- that is `MemoryClient` for Platform)
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### Configuration
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```typescript
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const config = {
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llm: {
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provider: 'openai', // openai, groq, anthropic, google, ollama, lmstudio, mistral, azure
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config: {
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model: 'gpt-4o-mini',
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apiKey: 'sk-xxx',
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},
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},
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embedder: {
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provider: 'openai', // openai, ollama, lmstudio, google, azure, langchain, anthropic
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config: {
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model: 'text-embedding-3-small',
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apiKey: 'sk-xxx',
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},
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},
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vectorStore: {
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provider: 'qdrant', // memory, qdrant, redis, supabase, langchain, azure_ai_search, pgvector
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config: {
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collectionName: 'my_memories',
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host: 'localhost',
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port: 6333,
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},
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},
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graphStore: { // Optional
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provider: 'neo4j',
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config: {
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url: 'neo4j://localhost:7687',
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username: 'neo4j',
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password: 'password',
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},
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},
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historyDbPath: 'history.db',
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customPrompt: '...',
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enableGraph: false,
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disableHistory: false,
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};
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const m = new Memory(config);
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// Or from dict with validation:
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const m2 = Memory.fromConfig(config);
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```
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### Methods
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All methods are async (return `Promise`):
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#### add(messages, config)
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```typescript
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await m.add('I prefer dark mode', { userId: 'alice' });
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await m.add([
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{ role: 'user', content: 'I like hiking' },
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{ role: 'assistant', content: 'Great outdoor activity!' },
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], { userId: 'alice' });
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```
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| Parameter | Type | Description |
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|-----------|------|-------------|
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| `messages` | `string \| Message[]` | Content to store |
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| `config.userId` | string | User identifier (at least one scope required) |
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| `config.agentId` | string | Agent identifier |
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| `config.runId` | string | Session identifier |
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| `config.metadata` | object | Custom key-value pairs |
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| `config.filters` | object | Additional filters |
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| `config.infer` | boolean | LLM inference (default: true) |
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**Returns:** `Promise<{results: [...], relations?: [...]}>`
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#### search(query, config)
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```typescript
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const results = await m.search('dietary preferences', { userId: 'alice', limit: 5 });
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```
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| Parameter | Type | Description |
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|-----------|------|-------------|
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| `query` | string | Search query |
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| `config.userId` | string | Filter by user |
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| `config.agentId` | string | Filter by agent |
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| `config.runId` | string | Filter by run |
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| `config.limit` | number | Max results (default: 100) |
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| `config.filters` | object | Advanced filters |
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#### get(memoryId) / getAll(config) / update(memoryId, data) / delete(memoryId) / deleteAll(config) / history(memoryId)
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Same interface patterns. Note: OSS `update` takes a string for data, not an object.
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```typescript
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await m.update('mem-id', 'new content');
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```
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#### reset()
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Clear the entire vector store and history.
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```typescript
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await m.reset();
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```
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---
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## Key Differences: Platform vs OSS
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| Aspect | Platform (`MemoryClient`) | OSS (`Memory`) |
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|--------|--------------------------|----------------|
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| **Import** | `import MemoryClient from 'mem0ai'` | `import { Memory } from 'mem0ai/oss'` |
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| **Auth** | API key required (`MEM0_API_KEY`) | No API key -- config-based |
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| **Execution** | API calls to `api.mem0.ai` | Local execution |
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| **Infrastructure** | Fully managed | Self-managed vector DB, embedder, LLM |
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| **Param style** | `snake_case` in options (`user_id`) | `camelCase` in config (`userId`) |
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| **Batch ops** | `batchUpdate`, `batchDelete` | Not available |
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| **Webhooks** | Full CRUD | Not available |
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| **Export** | `createMemoryExport` | Not available |
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| **Feedback** | `feedback()` | Not available |
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| **Project mgmt** | `getProject`, `updateProject` | Not available |
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| **User listing** | `users()`, `deleteUser()` | Not available |
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| **Graph store** | Platform-managed | Self-managed (Neo4j) |
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| **History** | Platform-managed | SQLite (configurable) |
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