Azen
Azen is an AI suite that provides a comprehensive platform for easy and fast access to cutting-edge AI technology. With Azen, users can uti...
Last verified:
What is Azen?
Azen is a memory layer API for AI products and agents that lets you store, retrieve, delete, and semantically search memories through a simple HTTP interface. It is positioned as infrastructure for memory-aware applications, especially systems that need to persist user context across interactions.
The product emphasizes automatic embedding, indexing, and vector search so developers do not have to build those pieces themselves. Memories are stored in a private namespace tied to an API key, which helps isolate data without requiring developers to manage users or sessions directly.
Azen is built for developers shipping AI agents, personalized apps, and other tools that benefit from long-term context. The docs describe it as a low-friction memory layer that can be integrated quickly using cURL or TypeScript, with a dashboard for API key creation and a straightforward HTTP API.
Its key strengths are semantic retrieval, namespacing, simple authentication, and a workflow that supports create, list, get, delete, and search operations. The website also positions it as suitable for teams that want to add durable memory to AI products without standing up the full storage, embedding, and vector-search stack themselves.
Azen pricing
Pricing model: Free
The website docs describe Azen as an API-based service with an app dashboard at app.azen.sh, but the public pages surfaced here do not show a detailed pricing table, free tier, or paid-plan breakdown. The docs focus on getting an API key, then using the API to create, search, list, get, and delete memories, with authentication handled by the key. Based on the available website content, pricing details are not disclosed on the public pages reviewed.
Azen pros
- Simple API key authentication
- Private namespace per API key
- Stores user and agent memories
- Semantic search by natural language
- Automatic embedding pipeline
- Automatic indexing handled for you
- Vector search included
- Supports retrieve and delete operations
- Paginated memory listing
- Quickstart with cURL examples
- TypeScript example support
- Designed for AI agents
- Built for memory-aware apps
- Dashboard for API key creation
- Low-friction developer experience
- Clear error format
- Staging and production key separation
- Supports deduplication keys
- Namespace isolation for secure separation
- Web-based console available
Azen cons
- Focused narrowly on memory use cases
- Requires API key management
- Not a full AI app platform
- No built-in user/session management
- Frontend exposure of keys is risky
- Rate limits can block heavy usage
- Search quality depends on embeddings
- Primarily developer-facing
- No obvious no-code workflow
- Requires backend integration
- Setup still needs environment variables
- Not ideal for non-technical users
- Exact pricing is not shown in the docs
- No on-page comparison to alternatives
- No offline or local-first mode described
Frequently asked questions about Azen
What does Azen do?
Azen provides an HTTP API for storing, retrieving, deleting, and semantically searching memories for AI agents and memory-aware applications. It is designed to persist context and make past interactions searchable through natural language queries.
How do I authenticate with Azen?
Azen uses API key authentication. Every request must include the zazen-api-key header with your API key, and each key maps to a private namespace so stored memories remain isolated from other keys.
What can I store in Azen?
You can store user or agent memories, such as preferences, interaction context, or other text entries that you want to retrieve later. The docs show a simple example like a coffee preference, but the service is meant for any text memory you want to persist.
How does search work?
Azen supports semantic search, so you can ask questions in natural language and retrieve the most relevant stored memories. The system embeds your query, compares it to stored memories, and returns semantically relevant matches.
Does Azen handle embeddings automatically?
Yes. The quickstart says that when you store a memory, Azen queues the text for vector embedding and makes it searchable after embedding finishes. The docs also say embeddings, indexing, and vector search are handled automatically.
What endpoints are available?
The public API reference lists create memory, list memories, get memory, delete memory, and search memories. These cover the main lifecycle for storing and working with memory records.
Can I isolate data between apps or users?
Yes. Each API key represents a private namespace, and memories created with that key belong only to that namespace. The docs say Azen automatically handles isolation and access control at the key level.
Is there a dashboard?
Yes. The quickstart points users to the Azen dashboard at app.azen.sh to create an API key. The website content indicates the dashboard is the entry point for managing access to the API.
What happens if I send the same memory twice?
The quickstart example includes a dedupKey field, which suggests Azen supports deduplication workflows for repeated entries. The public pages shown here do not provide deeper rules, but the example indicates deduplication is part of the memory model.
Is Azen meant for frontend-only apps?
No. The docs warn not to expose the API key in frontend code and recommend using environment variables and backend-side integration. It is positioned as a developer tool for secure server-side usage rather than a browser-only integration.