gabrielstein-mem0
8a9915d3fe
Review pass on the PostHog identity-stitching fix:
- Gate _maybe_alias_anon_to_email and _maybeAliasAnonToEmail on telemetry
being enabled. Previous version still read ~/.mem0/config.json and
persisted telemetry.aliased_to even when MEM0_TELEMETRY=false, which
meant re-enabling telemetry later would skip identity merging forever.
Python checks client_telemetry.posthog; TS exports a new
isTelemetryEnabled() getter from telemetry.ts.
- Trim capture_identify properties to {$anon_distinct_id, client_source}.
The full platform metadata duplicated capture_event's payload and is
not needed for $identify; PostHog enriches the person profile from
subsequent events anyway.
- Flatten config.ts: drop the four-helper structure (loadNodeModules /
configPath / loadRawConfig / read+write) into one getNodeFs() + a
shared loadConfig(). Same behaviour, ~30 fewer lines, easier to read.
- Drop the tautological Mem0AnonIds shape test and the
void createMockFetch hack at the end of the TS test file.
- Add tests for the new telemetry-disabled gate (Python + TS).
Logic traced end-to-end: 114 Python tests + 590 TS tests pass. Ruff and
Prettier clean. Zero new typecheck errors.
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