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Proxon vs Walrus Memory (2026)

A side-by-side comparison of Proxon and Walrus Memory on pricing, features, and fit, so you can decide which is right for you.

Last updated: July 16, 2026

Quick answer

Proxon and Walrus Memory are both strong choices, but they fit different needs. Choose Proxon if you mainly need auditing all ai applications in use across a large enterprise to identify shadow it risks — its edge is provides comprehensive visibility into both approved and unauthorized ai tool usage. Choose Walrus Memory if you need building ai copilots that remember user preferences and prior conversations — its edge is solves the critical statelessness problem that limits most ai agent frameworks. Proxon starts at On request; Walrus Memory starts at Contact for pricing on production plans.

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Proxon logo
Proxon

Full visibility and control over every AI tool in your organization.

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Walrus Memory logo
Walrus Memory

Give AI agents persistent memory across every app and session.

PricingPaid
PricingFreemium
Starts atOn request
Starts atContact for pricing on production plans
Free tierNo public free tier
Free tierFree tier available for development and testing
RatingNot yet rated
RatingNot yet rated
Best forAuditing all AI applications in use across a large enterprise to identify shadow IT risks
Best forBuilding AI copilots that remember user preferences and prior conversations
Key strengthProvides comprehensive visibility into both approved and unauthorized AI tool usage
Key strengthSolves the critical statelessness problem that limits most AI agent frameworks
Main drawbackPricing is not publicly available, making it difficult to budget without a sales conversation
Main drawbackPricing for production use cases is not clearly published, requiring direct contact

Features compared

Proxon

  • Automated discovery and inventory of all AI tools across an organization, including shadow AI
  • Ownership assignment and policy binding per AI system
  • Real-time spend tracking and budget attribution for each AI tool
  • Centralized compliance and governance dashboard for IT and security teams

Walrus Memory

  • Persistent cross-session memory storage for AI agents
  • Cross-application context sharing so agents stay informed across tools
  • Structured memory retrieval enabling agents to recall relevant past information
  • Easy developer integration to embed memory capabilities into existing agent pipelines

Pros & cons

Proxon

Pros

  • Provides comprehensive visibility into both approved and unauthorized AI tool usage
  • Directly links AI tools to owners, policies, and costs for clear accountability
  • Designed specifically for enterprise security and IT governance workflows

Cons

  • Pricing is not publicly available, making it difficult to budget without a sales conversation
  • May require significant onboarding effort to fully integrate with existing IT infrastructure

Walrus Memory

Pros

  • Solves the critical statelessness problem that limits most AI agent frameworks
  • Enables cross-app memory sharing, reducing duplicated context management work
  • Developer-friendly design makes it straightforward to integrate into existing agent architectures

Cons

  • Pricing for production use cases is not clearly published, requiring direct contact
  • As a relatively new tool, ecosystem documentation and community resources may still be maturing

The verdict

Choose Proxon if

you mainly need to auditing all ai applications in use across a large enterprise to identify shadow it risks. Its edge: provides comprehensive visibility into both approved and unauthorized ai tool usage.

Choose Walrus Memory if

you mainly need to building ai copilots that remember user preferences and prior conversations. Its edge: solves the critical statelessness problem that limits most ai agent frameworks.

Frequently asked questions

Is Proxon better than Walrus Memory?

Neither is universally better. Proxon is stronger for auditing all ai applications in use across a large enterprise to identify shadow it risks, with an edge in provides comprehensive visibility into both approved and unauthorized ai tool usage. Walrus Memory is stronger for building ai copilots that remember user preferences and prior conversations, with an edge in solves the critical statelessness problem that limits most ai agent frameworks. Pick based on your main task.

Which is cheaper, Proxon or Walrus Memory?

Proxon starts at On request and Walrus Memory starts at Contact for pricing on production plans. Free tier: Proxon — No public free tier; Walrus Memory — Free tier available for development and testing.

What is Proxon best for?

Proxon is best for auditing all ai applications in use across a large enterprise to identify shadow it risks, enforcing ai usage policies and mapping each tool to a responsible owner, tracking and controlling ai-related software spend across business units.

What is Walrus Memory best for?

Walrus Memory is best for building ai copilots that remember user preferences and prior conversations, creating multi-step automation agents that maintain task context across sessions, developing customer-facing ai assistants that provide consistent, contextual responses over time.

Do Proxon and Walrus Memory have free plans?

Proxon: No public free tier. Walrus Memory: Free tier available for development and testing. Check each tool's pricing page for current limits, as plans change.