xMem

Memory Orchestrator for LLMs

Instantly supercharge your LLM apps with xmem: a hybrid memory, that combines long-term knowledge and real-time context for smarter, more relevant AI.

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Memory System Overview

Real-time memory orchestration

Live Demo

Memory Distribution

Context Relevance

Total Memories

14,582

Avg Context

4.2 KB

Retrieval

42ms

Sessions

187

LLMs forget.
Your users notice.

Stop losing context and knowledge between sessions. xmem orchestrates both persistent and session memory for every LLM call—so your AI is always relevant, accurate, and up-to-date.

LLM forgot your last conversation

Lost project or team context

Wasting time repeating yourself

Persistent memory for every user

"Remind me what we discussed?"

"Who are you again?"

"Sorry, I lost that info."

"Welcome back, Alex!"

"Here's your project summary."

"Let's pick up where you left off."

How It Works

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 callno manual tuning needed.

Data Flow

User

Sends prompt

Session Store

In-memory, MongoDB

Orchestrator

Vector DB

Qdrant, ChromaDB, Pinecone

LLM Provider

Llama.cpp, Ollama, OpenAI

Why xmem?

Never Lose Knowledge

Persistent memory ensures user knowledge and context are always available.

Boost LLM Accuracy

Orchestrated context makes every LLM response more relevant and precise.

Open-Source First

Works with any open-source LLM (Llama, Mistral, etc.) and vector DB.

Effortless Integration

Easy API and dashboard for seamless integration and monitoring.

Intelligent Memory Management

Vector Database Integration

Semantic search and retrieval

Active

Embeddings

768d

Chunks

2.4k

Avg. Similarity

0.82

Memory Orchestration

Real-time context assembly

Processing

Context Size

8.2 KB

Sources

Latency

38ms

Easy Integration

memory-orchestration.ts

const

orchestrator =

new

xmem({

vectorStore:

chromadb

sessionStore:

in-memory

llmProvider:

mistral

});