One memory. The right fit for you.

For your own work, your team, or your company. Compare what you need, then talk to us about the right starting point.

Personal

Your knowledge. Every assistant.

Keep your notes, conversations and project context together. Pick up the work in the AI you choose.

  • One memory across your connected AI clients
  • Notes, documents, conversations and code
  • Search, facts, people and timelines
  • Research, writing and daily-work skills
  • Page history, corrections and Markdown export
  • Your own sources, credentials and model-spend limits
  • Agent setup for your personal workflows
Talk to us

Team

Shared context. Individual access.

Give the team a common source of knowledge while each person keeps working in their preferred AI.

  • Everything in Personal
  • Shared team sources alongside personal memory
  • Individual credentials, grants and revocation
  • Meetings, handovers and customer-context workflows
  • Recurring work through your connected agent runner
  • Member enrollment, activity records and spend controls
  • Configured agent roles, skills and team handoffs
Talk to us

Enterprise

Your organization. Your infrastructure.

Connect people, teams and company knowledge with explicit access boundaries and an operator view of the system.

  • Everything in Team
  • Personal, team and company source layouts
  • Private deployment in your AWS account
  • Operator administration, diagnostics and usage visibility
  • Scoped access for collaborators and partner projects
  • Knowledge migration, backups and rollout planning
  • Agent configuration and rollout across teams
Talk to us

Choose the scope that fits your work. Talk to us for pricing and setup. The MIT-licensed core has no per-seat software fee; infrastructure, AI clients and model usage are billed by your providers.

What each option includes.

On a small screen, scroll the table sideways to compare all three options.

Every option uses the same open-source core. The source layout, people and deployment scope grow with you.

Personal, Team and Enterprise
What you can doPersonalTeamEnterprise
Your AI and applications
Claude, ChatGPT and CodexSupported MCP connectionsSupported MCP connectionsSupported MCP connections
Your email, calendar, CRM and other applicationsThrough your agent’s connectorsThrough your agent’s connectorsThrough your agent’s connectors
Conversations and messagesIn your connected AI clientIn your connected AI clientIn your connected AI client
Choose the AI model for your workIn your AI clientEach person’s AI clientYour configured AI clients
CLI and MCP accessIncludedIncludedIncluded
Conversation exports and coding-session importsIncludedIncludedIncluded
Memory and pages
One memory across your assistantsPersonal sourcesPersonal and shared sourcesPersonal, team and company sources
Search by meaning and by wordsIncludedIncludedIncluded
Linked pages, history and source referencesIncludedIncludedIncluded
Facts, people, projects and timelinesIncludedIncludedIncluded
Correct outdated knowledge and trace its sourceIncludedIncludedIncluded
Code definitions, references and impact analysisWith a code indexWith a code indexWith a code index
Background memory maintenanceOn your running serverOn your running serverOn your running server
Skills and daily work
Reusable skills your agent can inspect and runIncludedIncludedIncluded
Briefings, research and reading workflowsIncludedIncludedIncluded
Meeting notes, transcripts and follow-upsIncludedIncludedIncluded
Customer communications, launches and business reviewsWith connected source toolsWith connected source toolsWith connected source tools
Scheduled work, even with your laptop closedWith an always-on agent runnerWith an always-on agent runnerWith an always-on agent runner
Bounded research jobs and saved resultsOperator-configuredOperator-configuredOperator-configured
Agents
Agent roles and instructionsPersonal workflowsShared team workflowsOrganization workflows
Tools, skills and memory configurationScoped to your setupScoped to your setupScoped to your setup
Agent coordination and review stepsAs configuredAs configuredAs configured
Evaluation, examples and handoverAgreed setup scopeAgreed setup scopeAgreed setup scope
Control and visibility
Read sources and write destinations per connectionIncludedIncludedIncluded
Individual credentials and access revocationIncludedIncludedIncluded
Daily model-spend capsPer credentialPer credential or memberPer credential or member
Request logs and operator diagnosticsYour deploymentYour deploymentYour deployment
Review knowledge before sharing itIncludedIncludedIncluded
Teams and organizations
A shared knowledge source for the teamYour own sourcesTeam source layoutMultiple team source layouts
Personal memory alongside shared knowledgePersonal memoryPer-person sources and grantsPer-person sources and grants
Organization connector and member enrollmentIndividual connectionShared app, individual grantsShared app, individual grants
External collaboratorsExplicit source grantsExplicit source grantsExplicit source grants
Operator administrationDeployment adminDeployment adminDeployment admin
CLI provisioning and access managementIncludedIncludedIncluded
Ownership and deployment
Open-source memory and readable skill instructionsMIT licensedMIT licensedMIT licensed
Read, correct and export your knowledgeMarkdown page exportMarkdown page exportMarkdown page export
Private infrastructure and databaseYour AWS accountYour AWS accountYour AWS account
AI usage and billingYour provider accountsYour provider accountsYour provider accounts
Deployment and rollout scopePersonal useTeam rolloutOrganization rollout

How pricing works.

Your sources, agent roles, team size, deployment and model usage determine the setup. We’ll work through those with you and agree the scope before you start. Agent configuration and handover are agreed as part of your setup.

Memrain runs in your infrastructure. Chat, application connectors and general workflow scheduling run through the AI clients and agent runners you connect. Provider subscriptions and usage are separate; the options above do not include prepaid AI credits.

Understand model-spend caps

Keep the context. Move the work forward.

Connect your knowledge to the AI you already use. Find your starting point and make the next conversation count.

Explore plans

Find your AI client