Saket Aryan
3a72dfdc52
Two review findings on this PR. All three client-stack implementations appended our entry and then trimmed to four, so whenever a caller already sent four entries the one dropped was exactly the one the function exists to add. We vanished from our own stack while every caller claim survived. The character cap was worse: slicing the joined string severs an identifier, and the platform parses the fragment as a real client, so a truncated tail arrives as a client literally named "me". Both caps now drop whole entries and the reserved slot is ours, in the Python SDK, the TypeScript SDK and pi-agent. mcp-server has the same fix on the platform branch. The deepseek comment claimed the backend's allowlist recognizes DEEPSEEK_HARNESS. This PR introduced that wording, replacing a neutral one. It is not true until mem0ai/platform#3602 ships, so it now states the dependency. Two pi-agent tests: our entry survives a full caller stack, and every surviving entry is whole rather than a severed tail. Python side verified directly, a 4-entry caller stack keeps mem0-python and long entries are dropped whole. 312 passed 8 skipped, pi-agent 96, bundles clean, TS SDK builds. Claude-Session: https://claude.ai/code/session_01C7tEmH86HAr7GoAAKCEHZb
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:
- Email: founders@mem0.ai
- Join our discord community
- GitHub Issues: Report bugs or request features