AI Infrastructure & MLOps Freemium

MemMachine

Open-source persistent memory for personalized, context-aware AI agents

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PricingFreemium
Starting price$79/mo/project
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentSelf Hosted
Last verifiedJuly 29, 2026
Overview

Tool overview

MemMachine is listed under AI Infrastructure & MLOps AI tools.

Summary

What is MemMachine?

MemMachine is an open-source memory layer for AI agents. It stores working, episodic, and profile memory across sessions and model changes, exposes SDK, REST, and MCP access, and supports local, cloud, VPC, and on-premises deployment.

Best fit

Best for

Developers building agents that need durable, portable, governed memory

Audience

Who is it for?

AI application developersAgent platform teamsMachine learning engineersEnterprise architecture teams
Recommendation

Decision note

Confirm memory volume, retention, embeddings and model costs, SDK choice, framework support, tenant isolation, VPC or on-prem requirements, support, sandbox limits, and the current Pro or Enterprise terms.

Capabilities

Key features

Working, episodic, and profile memory

Persistence across sessions and model changes

Python, TypeScript, REST, and MCP access

Framework integrations for popular agent stacks

Local, cloud, VPC, and on-premises deployment

Open-source Apache-2.0 core

Workflows

Use cases

Adding long-term memory to assistants

Sharing context across agent frameworks

Building personalized customer experiences

Deploying governed memory in private environments

Strengths

Pros

  • Open-source and platform-agnostic
  • Supports multiple memory types
  • Offers broad SDK and framework access
Considerations

Cons

  • Memory quality depends on application design
  • Persistent data creates privacy obligations
  • Managed tiers add project-level cost
Considerations

Limitations

MemMachine can store incorrect, sensitive, outdated, or excessive context and retrieve it at the wrong time. Teams must enforce consent, minimization, access controls, retention, deletion, testing, and human review for consequential decisions.

Cost

Pricing details

Pricing modelFreemium
Starting price$79/mo/project
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source tierMonthly per-project subscriptionCustom enterprise agreement
Pricing context

Pricing note

MemMachine offers an open-source tier at $0 forever. The official pricing page lists Pro at $79 per month per project and Enterprise with custom commercial terms. A free sandbox route is available for evaluation.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

LangChain

LangGraph

CrewAI

LlamaIndex

AWS Strands

n8n

Dify

FastGPT

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredYes
Open sourceYes
LicenseApache-2.0
DeploymentSelf Hosted
CompanyMemVerge
Models / versionsWorking Memory Episodic Memory Profile Memory MCP Server
Editions / plansOpen Source Pro Enterprise
Data confidenceHigh
Last verifiedJuly 29, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

MemMachine is an open-source memory layer for AI agents. It stores working, episodic, and profile memory across sessions and model changes, exposes SDK, REST, and MCP access, and supports local, cloud, VPC, and on-premises deployment.
Developers building agents that need durable, portable, governed memory
The listed pricing model for MemMachine is Freemium. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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