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mem0/mem0-ts/README.md
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kartik-mem0 937fb01a0c Revert the README rewrite, keep the benchmark and one-liner fixes
The README first-fold restructure is being handled separately, so drop it
from this PR rather than block the two changes that do not depend on it.

README.md and mem0-ts/README.md go back to main verbatim. What stays:

- docs/migration/oss-v2-to-v3.mdx and platform-v2-to-v3.mdx still said
  91.6 LoCoMo / 93.4 LongMemEval. main's README already publishes 92.5
  and 94.4, so the migration guides were the stale side of that
  disagreement, not the README.
- the product one-liner is unified across the 11 other places that each
  worded it differently.
2026-08-13 19:27:20 +05:30

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Markdown

# 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](https://docs.mem0.ai/open-source/node-quickstart).
See the complete [Platform API Reference](https://docs.mem0.ai/api-reference).
## 1. Installation
For the open-source version, you can install the Mem0 package using npm:
```bash
npm i mem0ai
```
## 2. API Key Setup
For the cloud offering, sign in to [Mem0 Platform](https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=mem0-ts-readme) 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](https://mem0.ai/discord)
- GitHub Issues: [Report bugs or request features](https://github.com/mem0ai/mem0/issues)