Build Agents that Learn,
With Memory that Lasts.
Meet MemMachine, an open-source memory layer for advanced AI agents. It enables AI-powered applications to learn, store, and recall data and preferences from past sessions to enrich future interactions. MemMachine's memory layer persists across multiple sessions, agents, and large language models, building a sophisticated, evolving user profile. It transforms AI chatbots into personalized, context-aware AI assistants designed to understand and respond with better precision and depth.
Trusted By The Most Innovative Teams
MemMachine provides the memory layer for agents built by world-class engineering teams at the forefront of the AI revolution.
Trusted by teams building with MemMachine.
Profile memory is my favorite part. I’ve been storing and retrieving many of my articles through MemMachine, and the way it handles personalization is beautiful. Instead of creating another slash command or digging through every file I’ve saved, the profile memory just knows. It’s there when I need it. What I really love is that they’ve abstracted all the complexity away while leaving the flexibility to use pieces independently. That’s the sweet spot - powerful but not overwhelming.
Character Engine
MemMachine enabled me to build my dream. AI Sparring Partners that exist everywhere you work, remembers everything about you, patterns, your blind spots, and challenge you instead of validate you. I’m not building chatbots - I’m building your distributed advisory partners that have persistent memory and builds a relationship with you using a simulated artificial consciousness engine. MemMachine was the missing piece, my yin to my yang.
Teamate leverages MemMachine’s advanced memory infrastructure—combining vector databases, graph-based entity and temporal relationships—to power our proactive AI assistant that transforms team collaboration. It allows Teamate to deliver intelligent, context-aware insights that improve with every conversation and automate manual tasks for our customers. We are delighted to see the efficiency boost MemVerge gets by using Teamate internally, and we are excited about the journey ahead to build the best Team-AI collaboration experience powered by the best open-source memory solution in the world.
Agents without Memory Forget
See how an agent with memory provides a compassionate, personalized healthcare experience, while one without creates frustration.
Without MemMachine
With MemMachine
Memory is the Key to Personalization
A generic agent follows a script, ignoring a patient's personal needs and creating a sterile, one-size-fits-all experience. An agent powered by MemMachine remembers what makes each patient unique, allowing it to provide truly empathetic and personalized care.
Go beyond Question and Answer
Build Context-Aware Agents
MemMachine allows your agents to retain and recall information across multiple sessions. They'll understand the full context of a conversation, leading to more relevant, intelligent, and human-like interactions.
Deliver True Personalization
Our Personalization Memory lets agents remember key facts about their users. By recalling preferences, history, and important details, your agent can provide tailored responses that build trust and long-term engagement.
Unlock Complex Workflows
An agent with memory can manage complex, long-running tasks that require remembering previous steps, user feedback, and evolving goals. From managing a CRM to assisting in a healthcare journey, memory is the key to sophisticated automation.
The MemMachine Architecture
Agents Interact via the API Layer
Users interact with an agent, which connects to the MemMachine Memory core through a RESTful API, Python SDK, or MCP Server.
MemMachine Manages Memory
MemMachine processes interactions and stores them in two distinct types: Episodic Memory for conversational context and Profile Memory for long-term user facts.
Data is Persisted to Databases
Memory is persisted to a database layer where Episodic Memory is stored in a graph database and Profile Memory is stored in an SQL database.
Build Intelligent Solutions with Agent Memory
Build Smart Agents for Any Use Case
MemMachine's versatile memory architecture can be applied across any domain, transforming generic bots into specialized, expert assistants. Our growing list of examples showcases the endless possibilities of memory-powered agents that integrate into your own applications and solutions.
Explore Our Examples
Your CRM Assistant
Your agent can recall a client's entire history and deal stage, proactively helping your sales team build relationships and close deals faster.
A Healthcare Navigator
Offer continuous patient support with an agent that remembers medical history and tracks treatment progress to provide a seamless healthcare journey.
A Personal Finance Advisor
Your agent will remember a user's portfolio and risk tolerance, delivering personalized financial insights based on their complete history.
A Content Writer
Build an assistant that remembers your unique style guide and terminology, ensuring perfect consistency across all documentation.
Frequently Asked Questions
Featured Blog Posts
Decheng Xu
November 3, 2025
Integrating OpenAI Agent Builder with the MemMachine MCP server allows your AI agents to store and recall information, …
Decheng Xu
November 3, 2025
AI agents are getting smarter, but there’s a critical challenge: how do you enable different agents across …
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