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AI · head to head

Replika vs Seldon

Replika logo

Replika

AI

AI companion for meaningful conversations

From
Free
Free plan
Yes
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Free plan
Yes

The short version

  • Each has a real cost: Replika pricing not published on main website or pricing page; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • They diverge on capability: Replika covers Conversational AI, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Replika and Seldon actually diverge.

Attributes where Replika and Seldon differ
AttributeReplikaSeldon
PlatformsIos, Android, WebLinux
CategoryAIMachine Learning
Founded20162014

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Replika

  • Conversational AI
  • Memory
  • Emotional support
  • Voice calls
  • AR features
  • Mobile apps
  • Ios support
  • Android support

Only in Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

What people use each for

The jobs each tool is most often brought in to do.

Replika

  • ai tools managementnot Seldon
  • Workflow automationnot Seldon
  • Reportingnot Seldon

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Replika
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Replika
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Replika
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Replika

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Replika

  • Pricing not published on main website or pricing page

Seldon

  • Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
  • Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
  • Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
  • Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.

Pricing, plan by plan

Replika

Free
  • FreeFree
    • Basic conversations
    • Memory
  • Pro$7.99/month
    • All features
    • Voice calls
    • AR

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

Which should you pick?

Choose Replika if

  • You need conversational ai.
  • You want to start without paying.
  • You work on Ios, Android, Web.
  • You also want memory.

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.

Questions people ask

Is Replika or Seldon better?
Neither clearly leads. Replika starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Replika or Seldon?
Replika starts at Free and Seldon at Free.
Does Replika or Seldon run on more platforms?
Replika runs on Ios, Android, Web. Seldon runs on Linux.
Can I use Replika for free?
Both have a free tier, so you can try either at no cost before committing.
What is Replika best used for?
Replika is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Seldon is typically brought in for.
What can Replika do that Seldon cannot?
Replika covers Conversational AI, Memory, Emotional support, Voice calls. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Replika: How much does Replika cost?

Replika does not publish specific pricing information on its website. The app directs users to get the application, suggesting a subscription model exists, but pricing tiers and costs are not disclosed on the public site.

Source
Seldon: Is Seldon open source?

Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.

Seldon: What is the difference between v1 and v2?

Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.

Seldon: Do I need Kubernetes?

Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.

Seldon: What is MLServer?

Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.

Seldon: Do I have to run Kafka?

For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.

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