MemMachine

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MemMachine is an AI Agents & Automation tool that provides a universal memory layer for AI agents. It offers scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management.

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At a glance

Pricing

Open Source · Freemium

Free tier

Yes

API

Yes

Skill level

Technical

About

What is MemMachine?

MemMachine is an open-source, long-term memory layer designed for AI agents and LLM-powered applications. It enables AI to learn, store, and recall information from past sessions, transforming stateless chatbots into personalized, context-aware assistants. Key capabilities include episodic memory for graph-based conversational context, profile memory for long-term user facts, and working memory for short-term context. MemMachine ensures memory persistence across restarts, sessions, and model changes. It offers developer-friendly APIs, flexible storage using Neo4j for episodic memory and SQL for profiles, and is LLM agnostic, working with various providers like OpenAI and Anthropic. It can be self-hosted or used via a managed service.

Best used for

Ideal for developers and researchers who need to build intelligent AI agents, manage their state across sessions, and provide personalized experiences. Especially valuable for creating context-aware chatbots, CRM agents, or healthcare navigators that learn and recall information over time.

Common actions

manage AI agent state

provide persistent memory

enable conversational context

store user preferences

integrate AI memory

Capabilities

Key features

Episodic memory
Profile memory
Working memory
Developer-friendly APIs
Flexible storage
LLM agnostic
Self-hosted or cloud

Target Audience

developerdata scientiststartup founder

Integrations

langchainlanggraphcrewaillamaindexaws-strandsn8ndifyfastgpt

Pricing & Plans

Open Source · Freemium

Free

FAQs

What types of memory does MemMachine support for AI agents?

MemMachine supports three primary memory types: Episodic Memory for graph-based conversational context, Profile Memory for long-term user facts and preferences stored in SQL, and Working Memory for short-term context relevant to the current session. This allows for comprehensive state management.

Can MemMachine integrate with existing AI frameworks and LLMs?

Yes, MemMachine is designed for seamless integration. It works with popular AI frameworks like LangChain, LangGraph, CrewAI, and LlamaIndex. It is also LLM agnostic, supporting providers such as OpenAI, Anthropic, Bedrock, and Ollama, ensuring broad compatibility.

Is MemMachine suitable for both self-hosted and cloud deployments?

MemMachine offers flexible deployment options. Users can run it locally, within Docker containers, or utilize their managed service for cloud-based operations. This versatility caters to different infrastructure preferences and scalability needs for AI agent development.

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