Conversation API vs Temporal AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionConversation APITemporal AI
Complexity/SetupLow – zero-setup: API key + conversation_id, dashboard management.High – requires SDK, workflow code, infrastructure (workers, queues).
Primary Use CaseStateful AI chat with auto-persistent memory for conversational apps.Durable execution for AI agents, microservices, long-running workflows.
State ManagementAutomatic database storage of conversation history via conversation_id.Automatic state capture at every step, survives crashes/retries.
Supported ModelsOpenAI GPT, Anthropic Claude, Google Gemini (latest models from news).Any via SDK integration (e.g., OpenAI Agents SDK, Google ADK).
Pricing ModelFreemium: Free Sandbox (full features, free forever); paid Core/Scale plans from April 2026.Freemium: self-hosted open-source free; Temporal Cloud usage-based billing (June 2026).
Target AudienceLow-code builders, startups, product managers, solo founders.Engineers building reliable, fault-tolerant systems.

Choose Temporal AI if you are building production-grade AI agents or complex microservice workflows that demand durability, automatic retries, and full execution visibility. Choose Conversation API if you need to add stateful AI chat to your app with minimal backend effort and zero infrastructure management, ideal for rapid prototyping and low-code teams. Temporal offers more power and flexibility but requires significant setup; Conversation API trades depth for simplicity and speed.

Try Conversation APITry Temporal AI
Conversation API
Conversation API

Stateful AI chat API with built-in memory for app developers

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Temporal AI
Temporal AI

Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.

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Pricing
Freemium
Freemium
Plans
$0/mo
$49/mo
$399/mo
Custom quote
$0/mo (with $1,000 in credits)
$100/mo
$500/mo
Custom
Popularity
2 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
WebAPI
WebAPICLI
Categories
📦 LLM App Frameworks & SDKs🧠 Agent Memory & Runtimes
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Automatic conversation storage with conversation_id
Named conversations and message history retrieval
Metadata attachment to chat threads
Streaming API for real-time responses
Multi-model routing: OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek
Amazon Bedrock API key support for BYOK workflows
Release meta support for tracking assistant versions
Tools 3.0 pause/resume tool calling for debugging
JavaScript SDK (@amarsia/sdk) and React hooks (@amarsia/react)
Testing playground for iteration
Security toggles: authentication and IP allowlist
Monitoring dashboard for interaction analytics
Knowledge base with RAG and drag-and-drop upload
URL scraping for knowledge bases
Web search tool
Durable execution with automatic state capture
Workflow orchestration with automatic retry and recovery
Activities with automatic retries and timeouts
Native SDKs for Python, Go, TypeScript, Ruby, C#, Java, PHP, Rust (preview)
Human-in-the-loop with signals and pause/resume
Saga pattern via compensating transactions
Full visibility UI for workflow state
Serverless Workers for Google Cloud Run (pre-release)
Serverless Workers for AWS Lambda (public preview)
Standalone Activities for independent execution
Workflow Streams for real-time interactivity
Task Queue Priority & Fairness (GA)
Temporal Worker Controller (GA) for K8s lifecycle
External Storage for large payloads (public preview)
Custom Roles for granular permissions (pre-release)
Integrations
OpenAI
Anthropic
Google
DeepSeek
Amazon Bedrock
MCP
LangGraph
OpenAI Agents SDK
Google ADK
Google Cloud Run
AWS Lambda
Azure
Slack
NVIDIA
Salesforce
Twilio
Docker
Kubernetes
Braintrust

Who should pick which

  • Solo founder building a customer support chatbot
    Pick: Conversation API

    Conversation API's zero-setup stateful memory and dashboard let you launch quickly without dev ops - perfect for solo devs with limited time.

  • Engineering team building a financial transaction pipeline with rollbacks
    Pick: Temporal AI

    Temporal's Saga pattern, automatic retries, and state capture are ideal for reliable multi-step transactions in a production environment.

  • Product manager adding AI chat to a SaaS app
    Pick: Conversation API

    With Conversation API's no-code assistant builder and monitoring dashboard, PMs can own the feature without developer dependency.

  • AI startup building a multi-agent orchestration system
    Pick: Temporal AI

    Temporal's durable execution, serverless workers, and AI agent SDK integrations (OpenAI, Google ADK) provide the fault tolerance and visibility needed for production AI agents.

  • Low-code builder prototyping a chat app with memory
    Pick: Conversation API

    Conversation API's simple REST API and JavaScript SDK make it easy to add persistent chat in minutes without backend setup.

Frequently Asked Questions

Conversation API vs Temporal AI: which should you choose?

Choose Temporal AI if you are building production-grade AI agents or complex microservice workflows that demand durability, automatic retries, and full execution visibility. Choose Conversation API if you need to add stateful AI chat to your app with minimal backend effort and zero infrastructure management, ideal for rapid prototyping and low-code teams. Temporal offers more power and flexibility but requires significant setup; Conversation API trades depth for simplicity and speed.

Can Temporal AI be used for simple chat applications?

Yes, but it's overkill. Temporal is designed for durable orchestrations; for simple stateful chat, Conversation API provides a lighter, purpose-built solution.

Does Conversation API support custom fine-tuned models?

No, it only supports the listed models (OpenAI, Anthropic, Google). For custom fine-tuning, you would need another solution.

Is Temporal truly free for self-hosted use?

Yes, the open-source Temporal Server is free to self-host. The Cloud offering has usage-based pricing (as of June 2026 news).

Can Conversation API be used for high-frequency real-time systems?

It's not ideal; its streaming API is designed for chat responses, not for low-latency, high-frequency use cases like live transcription.

Does Temporal support human-in-the-loop workflows?

Yes, via signals and pause/resume features, allowing workflows to wait for human input before proceeding.

What happens to conversation data in Conversation API's free sandbox?

The sandbox is free forever with full features (April 2026 news), but data may reside in Amarsia's EU or US regions; custom residency requires higher tiers.

Can I use Temporal for serverless workers?

Yes, Temporal recently introduced Serverless Workers (Replay 2026 news), removing the need to manage worker infrastructure.

Does Conversation API have version control for prompts?

Yes, it supports release meta for versioning conversations and assistants, plus a testing playground for iterative development.

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Explore each tool further

Conversation API
View Conversation API reviewConversation API alternatives
Temporal AI
View Temporal AI reviewTemporal AI alternatives

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Last reviewed: July 3, 2026