xmem

Adds persistent memory and real-time context to any LLM app, so AI remembers past conversations and knowledge.

Verified API available
Quick facts
What is it Adds persistent memory and real-time context to any LLM app, so AI remembers past conversations and knowledge.
Pricing Unknown
Platform API
API Yes
Best for Building chatbots that remember user history, Creating AI copilots with persistent project knowledge
Domain registered 2024

Data updated Aug. 1, 2026

What does xmem do?

xmem is a memory orchestrator designed to solve a fundamental problem in AI applications: forgetfulness. It provides a hybrid memory system that combines long-term knowledge storage with real-time session context, ensuring that your LLM-powered apps remember past conversations, user preferences, and project details. Instead of starting from scratch every time, your AI can pick up where it left off, delivering more relevant and accurate responses.

The tool works by intelligently orchestrating information from two sources. Long-term memory uses vector search to store and retrieve documents, notes, and knowledge. Session memory tracks the immediate context of recent chats. xmem's core innovation is its automatic RAG (Retrieval-Augmented Generation) orchestration, which dynamically assembles the most relevant context from both sources for every LLM call, without requiring manual tuning. It integrates with popular open-source LLMs like Llama and Mistral, and vector databases like Qdrant and Pinecone, offering flexibility and control.

This tool is a game-changer for developers and teams building serious AI applications. If you're creating a customer support chatbot, an internal knowledge copilot, or any agentic AI system, xmem ensures your tool becomes smarter and more personalized over time. It turns a stateless LLM into a knowledgeable assistant that builds relationships with users, remembers their history, and provides consistently useful interactions.

#ai api#context management#knowledge graph#llm-memory#open source ai#rag-orchestration#vector database

Key features

What makes it stand out
01
Hybrid memory system combining long-term storage and session context
02
Automatic RAG orchestration to assemble the best context for each query
03
Works with any open-source LLM (Llama, Mistral) and vector database
04
Real-time knowledge graph to visualize and link concepts dynamically
05
Easy API and dashboard for seamless integration and monitoring

Who is xmem for?

Who benefits most from this tool
Building chatbots that remember user history
Creating AI copilots with persistent project knowledge
Developing agentic AI systems that learn over time

Trust & presence

Domain Domain registered 2024

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