MemMachine

Freemium

An open source AI memory layer that gives AI agents persistent, contextual memory for personal interactions.

MemMachine is an open-source memory layer designed for AI agents to enable persistent learning and recall. It combines vector databases with graph-based relationships to store user preferences across multiple sessions and models. This tool is built for developers and teams creating context-aware AI assistants that require long-term data retention (verified: 2026-01-29).

Jan 29, 2026
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Pricing: Freemium
Last verified: Jan 29, 2026
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Key facts

Pricing

Freemium

Use cases

Developers building AI agents that require persistent memory to store and recall user preferences across multiple sessions (verified: 2026-01-29), Teams creating proactive AI assistants that utilize graph-based entity and temporal relationships for context-aware collaboration (verified: 2026-01-29), Organizations deploying AI applications that need to maintain consistent memory across different large language models and agents (verified: 2026-01-29)

Strengths

The platform provides an open-source memory infrastructure that combines vector databases with graph-based entity and temporal relationship mapping (verified: 2026-01-29), Users can deploy the system locally on their own infrastructure or utilize managed cloud hosting for production-ready agents (verified: 2026-01-29), The memory layer persists across multiple sessions and different large language models to ensure data is not lost between interactions (verified: 2026-01-29)

Limitations

Access to managed cloud hosting and higher rate limits requires a paid Pro subscription starting at seventy-nine dollars monthly (verified: 2026-01-29), Advanced security features like Single Sign-On and dedicated engineer support are restricted to the custom-priced Enterprise tier (verified: 2026-01-29)

Last verified

Jan 29, 2026

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Strengths

  • The platform provides an open-source memory infrastructure that combines vector databases with graph-based entity and temporal relationship mapping (verified: 2026-01-29)
  • Users can deploy the system locally on their own infrastructure or utilize managed cloud hosting for production-ready agents (verified: 2026-01-29)
  • The memory layer persists across multiple sessions and different large language models to ensure data is not lost between interactions (verified: 2026-01-29)

Limitations

  • Access to managed cloud hosting and higher rate limits requires a paid Pro subscription starting at seventy-nine dollars monthly (verified: 2026-01-29)
  • Advanced security features like Single Sign-On and dedicated engineer support are restricted to the custom-priced Enterprise tier (verified: 2026-01-29)

FAQ

What specific memory architectures does MemMachine use to help AI agents recall information?

MemMachine utilizes a multi-layered memory system that incorporates vector databases along with graph-based entity and temporal relationships. This infrastructure allows AI agents to learn, store, and recall data and preferences from past sessions to enrich future interactions across different models (verified: 2026-01-29).

What are the primary differences between the Open Source and Pro pricing tiers?

The Open Source tier is free forever for developers building locally on their own infrastructure. In contrast, the Pro tier costs seventy-nine dollars per month and includes managed cloud hosting, higher rate limits, and premium integrations (verified: 2026-01-29).

How does the Enterprise plan address the security needs of large organizations?

The Enterprise plan provides advanced security through on-premise or Virtual Private Cloud deployment options. It also includes Single Sign-On, custom Service Level Agreements, and twenty-four-seven support from a dedicated engineer to ensure maximum control and compliance (verified: 2026-01-29).