Files
mem0/mem0-ts
Younes Slaoui f34e42eef3 fix(telemetry): only stitch oss identities with evidence of real oss usage
MemoryClient init fired PostHog $identify for anon ids the SDKs had minted
themselves (Python: setup_config() at import time; TS: getOrCreateMem0UserId()
inside the alias path), so ~90% of stitches merged event-less anon persons
into platform users, worst in ephemeral containers.

- never create the anon id from platform client paths; Python mints lazily in
  Memory/AsyncMemory init, gated on MEM0_TELEMETRY
- record telemetry.oss_used_at when OSS Memory genuinely initializes (both
  SDKs, shared ~/.mem0/config.json key) and only stitch the oss user_id when
  the marker is present; cli anon id stays presence-based
- stamp client_version on $identify so fixed-SDK stitches are separable from
  old-SDK noise in PostHog
2026-06-11 12:55:57 -07:00
..
2025-02-27 15:19:17 -08:00
2025-02-27 15:19:17 -08:00

Mem0 - The Memory Layer for Your AI Apps

Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users. We offer both cloud and open-source solutions to cater to different needs.

See the complete OSS Docs. See the complete Platform API Reference.

1. Installation

For the open-source version, you can install the Mem0 package using npm:

npm i mem0ai

2. API Key Setup

For the cloud offering, sign in to Mem0 Platform to obtain your API Key.

3. Client Features

Cloud Offering

The cloud version provides a comprehensive set of features, including:

  • Memory Operations: Perform CRUD operations on memories.
  • Search Capabilities: Search for relevant memories using advanced filters.
  • Memory History: Track changes to memories over time.
  • Error Handling: Robust error handling for API-related issues.
  • Async/Await Support: All methods return promises for easy integration.

Open-Source Offering

The open-source version includes the following top features:

  • Memory Management: Add, update, delete, and retrieve memories.
  • Vector Store Integration: Supports various vector store providers for efficient memory retrieval.
  • LLM Support: Integrates with multiple LLM providers for generating responses.
  • Customizable Configuration: Easily configure memory settings and providers.
  • SQLite Storage: Use SQLite for memory history management.

4. Memory Operations

Mem0 provides a simple and customizable interface for performing memory operations. You can create long-term and short-term memories, search for relevant memories, and manage memory history.

5. Error Handling

The MemoryClient throws errors for any API-related issues. You can catch and handle these errors effectively.

6. Using with async/await

All methods of the MemoryClient return promises, allowing for seamless integration with async/await syntax.

7. Testing the Client

To test the MemoryClient in a Node.js environment, you can create a simple script to verify the functionality of memory operations.

Getting Help

If you have any questions or need assistance, please reach out to us: