Amarsia

Amarsia

Ship AI fast, iterate safely — no glue code.

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Amarsia is a reliable AI platform to ship AI features without breaking things. Build and deploy AI workflows as production-ready APIs without SDKs, databases, or infrastructure. Conversations, state, and outputs are stored automatically so iteration feels safe, not risky. With predictable behavior, versioned changes, and clear visibility, teams move faster with confidence — and spend less time debugging AI in production.
This is the 4th launch from Amarsia. View more

Conversation API

Launched this week
Build chatbots with memory using just an API
Building AI chat features often means too much complexity — SDKs, databases, and infrastructure — just to support conversations and memory. Conversations API removes that overhead. Build stateful AI chat without managing backend systems. All chat data is stored for you — you only keep the conversation_id. What it helps with – AI chat memory & state – Faster prompt iteration – No backend setup – Ideal for low-code builders Built after helping builders stuck on AI chat infra instead of product.
Conversation API gallery image
Conversation API gallery image
Conversation API gallery image
Conversation API gallery image
Conversation API gallery image
Free Options
Launch Team / Built With
NMI Payments
NMI Payments
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What do you think? …

Jay Dev

Wow, Amarsia looks amazing! The auto-stored conversation data sounds like a lifesaver for iterating. How does versioning handle changes that impact older conversation histories? Super curious!

Anuj Kapasia

@jaydev13 Great question!

Conversations API has been designed keeping this in mind, any new version release for AI feature would not impact older conversations.

Once a conversation has initiates, its locked in to a version of workflow commit history.

Joey Zhang

Looks well worth checking out.

Anuj Kapasia

@joeyzhangThanks! Definitely worth checking out if you’re a PM or founder. Being able to move fast without lock-in is a real superpower when building something new.

Kavin Jeyasankar

This looks clean! How do you handle long-running conversations as context grows? Do you summarize, chunk, or apply any memory pruning over time?

Viktor Shumylo

Congrats on the launch! I really like how opinionated and minimal this is, just keeping a conversation_id instead of juggling memory, storage, and infra feels very builder-friendly. What kinds of products you’re seeing benefit most from this so far?

Anuj Kapasia

@vik_sh Thanks!
Conversation API is a huge relief—especially for low-code builders like Lovable and Base44. It removes a lot of GenOps overhead, from SDK setup and configuration to databases and AI analytics.

Caris Phoenix

Good idea to include memory out of the box, that's a big time savings for a new chat setup!

Raimo Tuisku

Looking forward to checking this out! In my previous startup we dealt with conversation memory a lot and I still believe AI can help humans communicate better.

Khashayar Mansourizadeh

Very nice, handling the backend for AI agents and bots is not easy. How long can you keep the context? in terms of tokens and time

Anuj Kapasia

@khashayar_mansourizadeh Thanks! There’s no fixed limit on usage—neither time nor tokens.