fix(sdk): removing the enable graph flag and switching from snake case to camel case for client ts sdk (#4776)
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kartik
co-authored by
Claude Opus 4.6
Claude Opus 4.6
parent
e44b46ef2e
commit
9d6b79a14e
@@ -81,7 +81,6 @@ result = await memory.add(
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conversation,
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user_id="traveler-42",
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metadata={"trip": "japan-2025", "preferences": ["boutique", "no-shellfish"]},
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enable_graph=True,
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run_id="planning-call-1",
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)
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```
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@@ -101,7 +100,6 @@ const conversation = [
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const result = await memory.add(conversation, {
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userId: "traveler-42",
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metadata: { trip: "japan-2025", preferences: ["boutique", "no-shellfish"] },
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enableGraph: true,
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runId: "planning-call-1",
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});
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```
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@@ -163,10 +161,6 @@ await memory.update(matches.results[0].id, {
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</Tab>
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</Tabs>
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<Tip>
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Need to pause graph writes on a per-request basis? Pass `enableGraph: false` (TypeScript) or `enable_graph=False` (Python) when latency matters more than relationship building.
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</Tip>
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## Clean up
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<Tabs>
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@@ -192,8 +186,6 @@ await memory.deleteAll({ userId: "traveler-42", runId: "planning-call-1" });
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## Quick recovery
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- `Missing required key enableGraph`: update the SDK to `mem0ai>=0.4.0`.
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- `Graph backend unavailable`: retry with `enableGraph=False` and inspect your graph provider status.
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- Empty results with filters: log `filters` values and confirm metadata keys match (case-sensitive).
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<Warning>
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@@ -50,7 +50,7 @@ const messages = [
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{"role": "user", "content": "Alice loves playing badminton"},
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{"role": "assistant", "content": "That's great! Alice is a fitness freak"},
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];
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await client.add(messages, { user_id: "alice" });
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await client.add(messages, { userId: "alice" });
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```
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</CodeGroup>
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@@ -66,7 +66,7 @@ await client.search("What is Alice's favorite sport?", user_id="alice")
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```
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```javascript JavaScript
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await client.search("What is Alice's favorite sport?", { user_id: "alice" });
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await client.search("What is Alice's favorite sport?", { userId: "alice" });
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```
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</CodeGroup>
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@@ -118,7 +118,7 @@ await client.delete_all(user_id="alice")
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```
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```javascript JavaScript
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await client.deleteAll({ user_id: "alice" });
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await client.deleteAll({ userId: "alice" });
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```
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</CodeGroup>
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@@ -25,7 +25,7 @@ const messages = [
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{"role": "assistant", "content": "Great! I'll remember your preference for Italian cuisine."}
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];
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await client.add(messages, { user_id: "user123", version: "v2" });
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await client.add(messages, { userId: "user123", version: "v2" });
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```
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</CodeGroup>
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@@ -65,14 +65,14 @@ const messages1 = [
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{"role": "user", "content": "Hi, I'm Sarah from New York"},
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{"role": "assistant", "content": "Hello Sarah! Nice to meet you."}
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];
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await client.add(messages1, { user_id: "sarah", version: "v2" });
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await client.add(messages1, { userId: "sarah", version: "v2" });
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// Later interaction - just send new messages
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const messages2 = [
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{"role": "user", "content": "I'm planning a trip to Italy next month"},
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{"role": "assistant", "content": "How exciting! Italy is beautiful this time of year."}
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];
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await client.add(messages2, { user_id: "sarah", version: "v2" });
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await client.add(messages2, { userId: "sarah", version: "v2" });
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// Mem0 automatically knows Sarah is from New York and can use this context
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```
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</CodeGroup>
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@@ -104,7 +104,7 @@ const messages = [
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{"role": "assistant", "content": "I've noted your allergies for future reference."}
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];
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await client.add(messages, { user_id: "user123", version: "v2" });
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await client.add(messages, { userId: "user123", version: "v2" });
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// This allergy info will be available in ALL future interactions
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```
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</CodeGroup>
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@@ -143,21 +143,21 @@ const messages1 = [
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{"role": "user", "content": "I want to plan a 5-day trip to Tokyo"},
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{"role": "assistant", "content": "Perfect! Let's plan your Tokyo adventure."}
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];
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await client.add(messages1, { user_id: "user123", run_id: "tokyo-trip-2024", version: "v2" });
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await client.add(messages1, { userId: "user123", runId: "tokyo-trip-2024", version: "v2" });
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// Later in the same trip planning session
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const messages2 = [
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{"role": "user", "content": "I prefer staying near Shibuya"},
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{"role": "assistant", "content": "Great choice! Shibuya is very convenient."}
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];
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await client.add(messages2, { user_id: "user123", run_id: "tokyo-trip-2024", version: "v2" });
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await client.add(messages2, { userId: "user123", runId: "tokyo-trip-2024", version: "v2" });
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// Different session for work project (separate context)
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const workMessages = [
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{"role": "user", "content": "Let's discuss the Q4 marketing strategy"},
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{"role": "assistant", "content": "Sure! What are your main goals for Q4?"}
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];
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await client.add(workMessages, { user_id: "user123", run_id: "q4-marketing", version: "v2" });
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await client.add(workMessages, { userId: "user123", runId: "q4-marketing", version: "v2" });
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```
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</CodeGroup>
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@@ -33,7 +33,7 @@ Extract only health and wellness information:
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Exclude: Personal identifiers, financial data
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`;
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await client.project.update({ custom_instructions: prompt });
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await client.project.update({ customInstructions: prompt });
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```
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</CodeGroup>
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@@ -60,11 +60,11 @@ print(response["custom_instructions"])
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```javascript JavaScript
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// Set instructions for your project
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await client.project.update({ custom_instructions: "Your guidelines here..." });
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await client.project.update({ customInstructions: "Your guidelines here..." });
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// Retrieve current instructions
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const response = await client.project.get({ fields: ["custom_instructions"] });
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console.log(response.custom_instructions);
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const response = await client.project.get({ fields: ["customInstructions"] });
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console.log(response.customInstructions);
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```
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</CodeGroup>
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@@ -145,7 +145,7 @@ Extract customer service information for better support:
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Exclude: Payment card numbers, passwords, personal identifiers.
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`;
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await client.project.update({ custom_instructions: instructions });
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await client.project.update({ customInstructions: instructions });
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```
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</CodeGroup>
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</Tab>
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@@ -198,7 +198,7 @@ Extract learning-related information for personalized education:
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Exclude: Specific grades, personal identifiers, financial information.
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`;
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await client.project.update({ custom_instructions: educationPrompt });
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await client.project.update({ customInstructions: educationPrompt });
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```
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</CodeGroup>
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</Tab>
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@@ -251,7 +251,7 @@ Extract financial planning information for advisory services:
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Exclude: Account numbers, SSNs, passwords, specific financial amounts.
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`;
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await client.project.update({ custom_instructions: financePrompt });
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await client.project.update({ customInstructions: financePrompt });
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```
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</CodeGroup>
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</Tab>
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@@ -1,333 +0,0 @@
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---
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title: Graph Memory
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description: "Enable graph-based memory retrieval for more contextually relevant results"
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---
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## Overview
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Graph Memory enhances the memory pipeline by creating relationships between entities in your data. It builds a network of interconnected information for more contextually relevant search results.
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This feature allows your AI applications to understand connections between entities, providing richer context for responses. It's ideal for applications needing relationship tracking and nuanced information retrieval across related memories.
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## How Graph Memory Works
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The Graph Memory feature analyzes how each entity connects and relates to each other. When enabled:
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1. Mem0 automatically builds a graph representation of entities
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2. Vector search returns the top semantic matches (with any reranker you configure)
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3. Graph relations are returned alongside those results to provide additional context—they do not reorder the vector hits
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## Using Graph Memory
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To use Graph Memory, you need to enable it in your API calls by setting the `enable_graph=True` parameter.
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### Adding Memories with Graph Memory
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When adding new memories, enable Graph Memory to automatically build relationships with existing memories:
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<CodeGroup>
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```python Python
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from mem0 import MemoryClient
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client = MemoryClient(api_key="your-api-key")
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messages = [
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{"role": "user", "content": "My name is Joseph"},
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{"role": "assistant", "content": "Hello Joseph, it's nice to meet you!"},
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{"role": "user", "content": "I'm from Seattle and I work as a software engineer"}
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]
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# Enable graph memory when adding
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client.add(
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messages,
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user_id="joseph",
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enable_graph=True
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)
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```
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```javascript JavaScript
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import { MemoryClient } from "mem0";
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const client = new MemoryClient({ apiKey: "your-api-key" });
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const messages = [
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{ role: "user", content: "My name is Joseph" },
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{ role: "assistant", content: "Hello Joseph, it's nice to meet you!" },
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{ role: "user", content: "I'm from Seattle and I work as a software engineer" }
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];
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// Enable graph memory when adding
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await client.add({
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messages,
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user_id: "joseph",
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enable_graph: true
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});
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```
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```json Output
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{
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"results": [
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{
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"memory": "Name is Joseph",
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"event": "ADD",
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"id": "4a5a417a-fa10-43b5-8c53-a77c45e80438"
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},
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{
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"memory": "Is from Seattle",
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"event": "ADD",
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"id": "8d268d0f-5452-4714-b27d-ae46f676a49d"
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},
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{
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"memory": "Is a software engineer",
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"event": "ADD",
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"id": "5f0a184e-ddea-4fe6-9b92-692d6a901df8"
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}
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]
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}
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```
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</CodeGroup>
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The graph memory would look like this:
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<Frame>
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<img src="/images/graph-platform.png" alt="Graph Memory Visualization showing relationships between entities" />
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</Frame>
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<Caption>Graph Memory creates a network of relationships between entities, enabling more contextual retrieval</Caption>
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<Note>
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Response for the graph memory's `add` operation will not be available directly in the response. As adding graph memories is an asynchronous operation due to heavy processing, you can use the `get_all()` endpoint to retrieve the memory with the graph metadata.
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</Note>
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### Searching with Graph Memory
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When searching memories, Graph Memory helps retrieve entities that are contextually important even if they're not direct semantic matches.
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<CodeGroup>
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```python Python
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# Search with graph memory enabled
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results = client.search(
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"what is my name?",
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user_id="joseph",
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enable_graph=True
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)
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print(results)
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```
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```javascript JavaScript
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// Search with graph memory enabled
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const results = await client.search({
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query: "what is my name?",
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user_id: "joseph",
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enable_graph: true
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});
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console.log(results);
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```
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```json Output
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{
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"results": [
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{
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"id": "4a5a417a-fa10-43b5-8c53-a77c45e80438",
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"memory": "Name is Joseph",
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"user_id": "joseph",
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"metadata": null,
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"categories": ["personal_details"],
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"immutable": false,
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"created_at": "2025-03-19T09:09:00.146390-07:00",
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"updated_at": "2025-03-19T09:09:00.146404-07:00",
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"score": 0.3621795393335552
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},
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{
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"id": "8d268d0f-5452-4714-b27d-ae46f676a49d",
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"memory": "Is from Seattle",
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"user_id": "joseph",
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"metadata": null,
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"categories": ["personal_details"],
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"immutable": false,
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"created_at": "2025-03-19T09:09:00.170680-07:00",
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"updated_at": "2025-03-19T09:09:00.170692-07:00",
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"score": 0.31212713194651254
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}
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],
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"relations": [
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{
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"source": "joseph",
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"source_type": "person",
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"relationship": "name",
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"target": "joseph",
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"target_type": "person",
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"score": 0.39
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}
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]
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}
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```
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</CodeGroup>
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<Note>
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`results` always reflects the vector search order (optionally reranked). Graph Memory augments that response by adding related entities in the `relations` array; it does not re-rank the vector results automatically.
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</Note>
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### Retrieving All Memories with Graph Memory
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When retrieving all memories, Graph Memory provides additional relationship context:
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<Callout type="warning" title="Filters Required">
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`get_all()` now requires filters to be specified.
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</Callout>
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<CodeGroup>
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```python Python
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# Get all memories with graph context
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memories = client.get_all(
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filters={"AND": [{"user_id": "joseph"}]},
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enable_graph=True
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)
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print(memories)
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```
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```javascript JavaScript
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// Get all memories with graph context
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const memories = await client.getAll({
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filters: {"AND": [{"user_id": "joseph"}]},
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enable_graph: true
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});
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console.log(memories);
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```
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```json Output
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{
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"results": [
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{
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"id": "5f0a184e-ddea-4fe6-9b92-692d6a901df8",
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"memory": "Is a software engineer",
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"user_id": "joseph",
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"metadata": null,
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"categories": ["professional_details"],
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"immutable": false,
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"created_at": "2025-03-19T09:09:00.194116-07:00",
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"updated_at": "2025-03-19T09:09:00.194128-07:00",
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},
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{
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"id": "8d268d0f-5452-4714-b27d-ae46f676a49d",
|
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"memory": "Is from Seattle",
|
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"user_id": "joseph",
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"metadata": null,
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"categories": ["personal_details"],
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"immutable": false,
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"created_at": "2025-03-19T09:09:00.170680-07:00",
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"updated_at": "2025-03-19T09:09:00.170692-07:00",
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},
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{
|
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"id": "4a5a417a-fa10-43b5-8c53-a77c45e80438",
|
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"memory": "Name is Joseph",
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"user_id": "joseph",
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"metadata": null,
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"categories": ["personal_details"],
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"immutable": false,
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"created_at": "2025-03-19T09:09:00.146390-07:00",
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"updated_at": "2025-03-19T09:09:00.146404-07:00",
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}
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],
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"relations": [
|
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{
|
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"source": "joseph",
|
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"source_type": "person",
|
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"relationship": "name",
|
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"target": "joseph",
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"target_type": "person"
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},
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{
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"source": "joseph",
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"source_type": "person",
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"relationship": "city",
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"target": "seattle",
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"target_type": "city"
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},
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{
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"source": "joseph",
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"source_type": "person",
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"relationship": "job",
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"target": "software engineer",
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"target_type": "job"
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}
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]
|
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}
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```
|
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|
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</CodeGroup>
|
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|
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### Setting Graph Memory at Project Level
|
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|
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Instead of passing `enable_graph=True` to every add call, you can enable it once at the project level:
|
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|
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<CodeGroup>
|
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|
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```python Python
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from mem0 import MemoryClient
|
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|
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client = MemoryClient(api_key="your-api-key")
|
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|
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# Enable graph memory for all operations in this project
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client.project.update(enable_graph=True)
|
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|
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# Now all add operations will use graph memory by default
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messages = [
|
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{"role": "user", "content": "My name is Joseph"},
|
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{"role": "assistant", "content": "Hello Joseph, it's nice to meet you!"},
|
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{"role": "user", "content": "I'm from Seattle and I work as a software engineer"}
|
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]
|
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|
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client.add(
|
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messages,
|
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user_id="joseph"
|
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)
|
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```
|
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|
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```javascript JavaScript
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import { MemoryClient } from "mem0";
|
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|
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const client = new MemoryClient({ apiKey: "your-api-key" });
|
||||
|
||||
// Enable graph memory for all operations in this project
|
||||
await client.project.update({ enable_graph: true });
|
||||
|
||||
// Now all add operations will use graph memory by default
|
||||
const messages = [
|
||||
{ role: "user", content: "My name is Joseph" },
|
||||
{ role: "assistant", content: "Hello Joseph, it's nice to meet you!" },
|
||||
{ role: "user", content: "I'm from Seattle and I work as a software engineer" }
|
||||
];
|
||||
|
||||
await client.add({
|
||||
messages,
|
||||
user_id: "joseph"
|
||||
});
|
||||
```
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
|
||||
## Best Practices
|
||||
|
||||
- Enable Graph Memory for applications where understanding context and relationships between memories is important.
|
||||
- Graph Memory works best with a rich history of related conversations.
|
||||
- Consider Graph Memory for long-running assistants that need to track evolving information.
|
||||
|
||||
## Performance Considerations
|
||||
|
||||
Graph Memory requires additional processing and may increase response times slightly for very large memory stores. However, for most use cases, the improved retrieval quality outweighs the minimal performance impact.
|
||||
|
||||
If you have any questions, please feel free to reach out to us using one of the following methods:
|
||||
|
||||
<Snippet file="get-help.mdx" />
|
||||
@@ -206,5 +206,5 @@ config = {"graph_store": {"threshold": 0.7}} # Valid: 0.0 ≤ x ≤ 1.0
|
||||
|
||||
## Related
|
||||
|
||||
- [Graph Memory](/platform/features/graph-memory)
|
||||
- [Graph Memory](/open-source/features/graph-memory)
|
||||
- [Issue #3590](https://github.com/mem0ai/mem0/issues/3590)
|
||||
|
||||
@@ -134,7 +134,7 @@ const filters = {
|
||||
const responseWithInstructions = await client.createMemoryExport({
|
||||
schema: json_schema,
|
||||
filters: filters,
|
||||
export_instructions: export_instructions
|
||||
exportInstructions: export_instructions
|
||||
});
|
||||
|
||||
console.log(responseWithInstructions);
|
||||
@@ -176,10 +176,10 @@ print(response)
|
||||
|
||||
```javascript JavaScript
|
||||
// Retrieve using export ID
|
||||
const memory_export_id = "550e8400-e29b-41d4-a716-446655440000";
|
||||
const memoryExportId = "550e8400-e29b-41d4-a716-446655440000";
|
||||
|
||||
const response = await client.getMemoryExport({
|
||||
memory_export_id: memory_export_id
|
||||
memoryExportId: memoryExportId
|
||||
});
|
||||
|
||||
console.log(response);
|
||||
|
||||
@@ -67,7 +67,7 @@ const messages = [
|
||||
},
|
||||
]
|
||||
|
||||
await client.add(messages, { user_id: "alice" })
|
||||
await client.add(messages, { userId: "alice" })
|
||||
```
|
||||
|
||||
```json Output
|
||||
@@ -166,7 +166,7 @@ const imageMessage = {
|
||||
}
|
||||
};
|
||||
|
||||
await client.add([imageMessage], { user_id: "alice" })
|
||||
await client.add([imageMessage], { userId: "alice" })
|
||||
```
|
||||
</CodeGroup>
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ Mem0 Platform features help managed deployments scale from basic filtering to gr
|
||||
<Card title="Go Real-Time with Async" icon="bolt" href="/platform/features/async-client">
|
||||
Non-blocking add/search requests for agents.
|
||||
</Card>
|
||||
<Card title="Unlock Graph Memory" icon="circle-nodes" href="/platform/features/graph-memory">
|
||||
<Card title="Unlock Graph Memory" icon="circle-nodes" href="/open-source/features/graph-memory">
|
||||
Relationship-aware recall across entities.
|
||||
</Card>
|
||||
<Card
|
||||
|
||||
@@ -76,7 +76,7 @@ const unixTimestamp = Math.floor(fiveDaysAgo.getTime() / 1000);
|
||||
const messages = [
|
||||
{"role": "user", "content": "I'm travelling to SF"}
|
||||
]
|
||||
client.add(messages, { user_id: "user1", timestamp: unixTimestamp })
|
||||
client.add(messages, { userId: "user1", timestamp: unixTimestamp })
|
||||
.then(response => console.log(response))
|
||||
.catch(error => console.error(error));
|
||||
```
|
||||
@@ -131,7 +131,7 @@ const january2023Timestamp = 1672531200; // Unix timestamp for 2023-01-01 00:00
|
||||
const messages = [
|
||||
{"role": "user", "content": "I'm travelling to SF"}
|
||||
]
|
||||
client.add(messages, { user_id: "user1", timestamp: january2023Timestamp })
|
||||
client.add(messages, { userId: "user1", timestamp: january2023Timestamp })
|
||||
.then(response => console.log(response))
|
||||
.catch(error => console.error(error));
|
||||
```
|
||||
|
||||
@@ -68,7 +68,7 @@ const messages = [
|
||||
{"role": "user", "content": "I'm a vegetarian and allergic to nuts."},
|
||||
{"role": "assistant", "content": "Got it! I'll remember your dietary preferences."}
|
||||
];
|
||||
await client.add(messages, { user_id: "user123" });
|
||||
await client.add(messages, { userId: "user123" });
|
||||
````
|
||||
|
||||
```bash cURL
|
||||
|
||||
Reference in New Issue
Block a user