Stateful AI chat with zero-setup persistent memory via simple API.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Conversation API — Stateful AI chat with zero-setup persistent memory via simple API. Best for Low-code builders adding chat to apps without backend infrastructure, Startup teams shipping AI features fast with minimal dev overhead, Product managers owning AI features without developer dependency. Free to use.
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Solid pick for teams wanting AI chat with memory fast, without database overhead. But opaque paid tiers and EU/US region lock may limit scaling. Best as a prototyping tool or for low-volume apps.
Compare with: Conversation API vs Cortex.cpp
Last verified: July 2026
Across the latest 8 updates: 6 feature updates and 2 pricing changes.
Restrict assistant access via auth toggle or IP allowlist.
Paid plans target teams that cannot afford mistakes in production.
Write integration tests for assistants as part of AI CI pipeline.
Sandbox plan now includes all features at no cost, no time limit.
Fresh foundation models from OpenAI, Anthropic, and Google integrated.
Conversation API now retrieves past conversations by deployment ID.
Official React package simplifies assistant integration.
Import MCP servers and auto-create Draft actions for each tool.
“Hey everyone, I’m currently planning the development of an app that requires a voice conversation with the ai. It’s education based with the intention of helping the user communicate with an ‘ai client’. I found out GPT 4’s API does not have this included which is a shame because how it works on the app would be perfect for what I’m trying to achieve. Does anyone know of any other ai models that have this feature…”
Real posts from independent users, linked to the source — not testimonials we collected.
How likely is Conversation API to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Conversation API by Amarsia is a managed service that eliminates backend complexity for adding stateful AI chat to applications. Developers can integrate conversational memory using a simple API; all chat history auto-stores in Amarsia's database, requiring only a conversation_id for retrieval. Designed for low-code builders, startup teams, and product managers who want AI chat without dedicated infrastructure engineering. Key features include automatic conversation storage, streaming API for real-time responses, and support for multiple models (OpenAI, Anthropic, Google). The API also supports named message history, conversation metadata, and release versioning. It integrates with Amarsia's broader platform: assistants, knowledge bases (RAG), AI actions, and monitoring. What sets Conversation API apart is its zero-setup persistence—developers iterate on prompts and product logic rather than managing databases or servers. It's part of the Amarsia platform, which also offers sovereign AI for accounting firms, but the API itself is model-agnostic and works for any use case. Versus alternatives like Vercel AI SDK or LangChain, Conversation API provides a simpler, hosted memory layer without requiring vector stores or custom backend code—ideal for rapid prototyping and low-volume production, though pricing for higher tiers remains opaque.
Conversation API is a pragmatic choice when you need to ship conversational AI quickly and don't want to manage a database yourself. The free sandbox tier is generous for experiments and small projects, and the API is dead simple—pass a conversation_id, get back history. Where it falls short is scalability and transparency. Paid tiers are contact-sales only, so for high-volume apps you can't self-serve a price. Also, data residency is limited to EU and US regions—no Asia, no on-prem. If your app needs strict data sovereignty outside those, this isn't for you. Compared to a DIY approach with OpenAI + PostgreSQL, Conversation API saves you the database setup but costs more at scale. For very low volume, the free tier wins. For production above a few thousand conversations, you'll want to negotiate a custom plan. In practice, we like it for internal tools, MVPs, and demos. It's not built for real-time, low-latency stuff like live transcription—that's not its design. We'd pass if you need fine-tuning or full control over the model stack. The broader Amarsia platform especially targets accounting firms with sovereign AI—but the Conversation API itself is generic. If you're in that vertical, the signup bonus (Blue J-like tax assistant) adds value. Bottom line: a well-executed, focused API with a free tier that removes a real pain point. Just know the pricing wall and region limits before you commit.
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