xMem
Overview of xMem
What is xMem?
xMem is a memory orchestrator for LLMs (Large Language Models) that combines long-term knowledge and real-time context to create smarter and more relevant AI applications.
How to Use xMem?
Integrate xMem into your LLM application using the API or dashboard. xMem automatically assembles the best context for every LLM call, eliminating the need for manual tuning.
const orchestrator = new xmem({
vectorStore: chromadb,
sessionStore: in-memory,
llmProvider: mistral
});
const response = await orchestrator.query({
input: "Tell me about our previous discussion"
});
Why is xMem important?
LLMs often forget information between sessions, leading to a poor user experience. xMem addresses this by providing persistent memory for every user, ensuring that the AI is always relevant, accurate, and up-to-date.
Key Features:
- Long-Term Memory: Store and retrieve knowledge, notes, and documents with vector search.
- Session Memory: Track recent chats, instructions, and context for recency and personalization.
- RAG Orchestration: Automatically assemble the best context for every LLM call. No manual tuning needed.
- Knowledge Graph: Visualize connections between concepts, facts, and user context in real-time.
Benefits:
- Never lose knowledge or context between sessions.
- Boost LLM accuracy with orchestrated context.
- Works with any open-source LLM and vector DB.
- Easy API and dashboard for seamless integration and monitoring.
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