Addresses review feedback on #6944. The Performance Improvements table in platform-v2-to-v3.mdx still read 91.6 (+20.2) / 93.4 (+25.6) while the Overview prose in the same file already read 92.5 / 94.4, so the page stated both sets of numbers. Reconciled against the research team's current figures in README.md: 71.4 -> 92.5 (+21.1) and 67.8 -> 94.4 (+26.6). Delivered the three one-liner sweep edits the PR description claimed but never shipped: the README banner alt text, the mem0-ts README title and lede, and the docs/introduction.mdx frontmatter description. The dated changelog entry at 91.6 / 93.4 stays as-is; it records what was announced on 2026-04-14.
Mem0 - The Memory Layer for AI Agents
Mem0 is the memory layer for AI agents. 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:
- Email: founders@mem0.ai
- Join our discord community
- GitHub Issues: Report bugs or request features