Actx0
Managed infrastructure that provides AI agents with session memory and knowledge retrieval
About Actx0
Actx0 provides managed memory infrastructure for AI agents and applications. It stores session memory and workspace knowledge, then returns relevant content before the next reply to help applications retain important context. The system supports background fact extraction triggered by user messages, skips greetings, organizes useful content into short facts, and consolidates it within the session. You still run the model; Actx0 handles memory storage, retrieval, and search. The official documentation also notes that it is not an electronic health record system or a clinical safety system.
Best for
Best use cases
Save user preferences for a session
Retrieve relevant memories before replying
Manage workspace knowledge
Condense user messages into short facts
Features
Session memory
Stores session memory and returns relevant content before the next reply.
Workspace knowledge
Stores workspace knowledge and provides searchable context for later replies.
Background fact extraction
Extracts useful content from user messages, skips greetings, and organizes it into short facts.
Multilingual clients
Provides Python, Node.js, Go, and REST clients.
Pros
- No need to operate vector storage yourself
- Supports Python, Node.js, Go, and REST clients
- Can extract and consolidate session facts in the background
Cons
- Hobby plan has basic usage limits
- Not an electronic health record or clinical safety system
Pricing Plans
Hobby
- Core workspace access
- Basic usage limits
- Community support
- Upgrade at any time
Starter
- Everything in Hobby
- Higher usage limits
- Monthly billing
- Email support
* Pricing information is for reference only. Please refer to the latest announcement on Actx0's official website.