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Respan Gateway vs Walrus Memory (2026)

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

Last updated: June 18, 2026

Quick answer

Respan Gateway and Walrus Memory are both strong choices, but they fit different needs. Choose Respan Gateway if you mainly need managing multi-provider llm traffic for production ai applications — its edge is combines routing, observability, and evals in a single platform reducing tool sprawl. 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. Respan Gateway starts at Paid plans estimated from around $49/month based on usage volume; Walrus Memory starts at Contact for pricing on production plans.

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Respan Gateway logo
Respan Gateway

Route, observe, and evaluate every AI call in one place.

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Walrus Memory logo
Walrus Memory

Give AI agents persistent memory across every app and session.

PricingFreemium
PricingFreemium
Starts atPaid plans estimated from around $49/month based on usage volume
Starts atContact for pricing on production plans
Free tierFree tier available with limited requests and basic observability features
Free tierFree tier available for development and testing
RatingNot yet rated
RatingNot yet rated
Best forManaging multi-provider LLM traffic for production AI applications
Best forBuilding AI copilots that remember user preferences and prior conversations
Key strengthCombines routing, observability, and evals in a single platform reducing tool sprawl
Key strengthSolves the critical statelessness problem that limits most AI agent frameworks
Main drawbackRelatively new platform so documentation and community resources are still maturing
Main drawbackPricing for production use cases is not clearly published, requiring direct contact

Features compared

Respan Gateway

  • Unified LLM routing across multiple AI providers with a single API endpoint
  • Built-in observability including request tracing, latency monitoring, and logging
  • Automated evaluations to benchmark and compare model outputs at scale
  • Fallback and retry logic to handle provider outages and reduce downtime

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

Respan Gateway

Pros

  • Combines routing, observability, and evals in a single platform reducing tool sprawl
  • Provider-agnostic design makes it easy to swap or mix LLM providers
  • Saves engineering time by replacing custom middleware with ready-built infrastructure

Cons

  • Relatively new platform so documentation and community resources are still maturing
  • Advanced evaluation customization may require technical setup not suited for non-developers

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 Respan Gateway if

you mainly need to managing multi-provider llm traffic for production ai applications. Its edge: combines routing, observability, and evals in a single platform reducing tool sprawl.

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 Respan Gateway better than Walrus Memory?

Neither is universally better. Respan Gateway is stronger for managing multi-provider llm traffic for production ai applications, with an edge in combines routing, observability, and evals in a single platform reducing tool sprawl. 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, Respan Gateway or Walrus Memory?

Respan Gateway starts at Paid plans estimated from around $49/month based on usage volume and Walrus Memory starts at Contact for pricing on production plans. Free tier: Respan Gateway — Free tier available with limited requests and basic observability features; Walrus Memory — Free tier available for development and testing.

What is Respan Gateway best for?

Respan Gateway is best for managing multi-provider llm traffic for production ai applications, running automated evals to compare model quality across openai and anthropic, monitoring api costs and latency to optimize ai infrastructure spending.

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 Respan Gateway and Walrus Memory have free plans?

Respan Gateway: Free tier available with limited requests and basic observability features. Walrus Memory: Free tier available for development and testing. Check each tool's pricing page for current limits, as plans change.