Session-scoped memory
User messages are stored on an agent session, then extracted into short facts that can be searched later instead of replaying the full conversation.
Actx0
Freemium
Actx0 is managed memory infrastructure for AI agents and apps. It helps teams store session memories and workspace knowledge, then retrieve relevant context in milliseconds before the next model reply.
What is Actx0?
Actx0 is managed memory infrastructure for AI agents and apps. It stores session memories and workspace knowledge, then returns relevant context before the next reply.
The product is built around a capture, extract, retrieve workflow: store user turns in a session, convert useful content into short searchable facts, and search those facts again when generating a response. The site presents it as a production-ready layer for agents that need continuity across turns, sessions, and shared workspace knowledge.
What can Actx0 do?
Workspace knowledge search
The product can search uploaded documents alongside session memories when the question is about docs or shared knowledge.
Background fact extraction
Useful content from user turns is turned into compact memories, while greetings and other low-value turns are skipped.
Managed semantic retrieval
Actx0 returns matching memories and documents before the next reply, with the site describing millisecond retrieval and no vector store for the user to operate.
SDK and REST access
The site shows usage through Python, Node.js, Go, cURL, and REST, so teams can integrate the memory layer into existing agent workflows.
Workspace controls for teams
Enterprise-oriented workspace features include access keys, audit logs, usage tracking, roles, and billing per team.
Use Cases
“Customer support agents”
Keep ticket context in a session so support agents can pick up the last useful fact without rereading the full thread.
“Sales and CRM follow-ups”
Store objections, commitments, and timing details on a deal session, then retrieve them before the next call or follow-up draft.
“Coding agents and DevTools”
Persist conventions, architecture decisions, and team standards so coding agents stay aligned across sessions and do not reintroduce rejected patterns.
“Workspace-based knowledge retrieval”
Attach documents such as FAQs or policies to a workspace and search them alongside session memories when answering product or process questions.
“Multi-channel conversational systems”
Map chat, email, or voice interactions to the same session id when an app needs shared context across channels, using its own connector logic.
Frequently Asked Questions
How does Actx0 fit into an agent workflow?
The site describes two calls around your model: write the user turn into an agent session, then search memory and workspace knowledge before generating the next reply.
What kinds of information can it retrieve?
It is designed to retrieve session memories and workspace knowledge. The source pages mention short facts extracted from messages, plus documents such as FAQs or policies.
Which integrations or client libraries are shown on the site?
The rendered pages show Python, Node.js, Go, cURL, and REST examples.
Does Actx0 replace a CRM, helpdesk, or EHR?
No. The case pages say it is the memory layer and not a replacement for CRM, helpdesk, EHR, or clinical safety systems.
Is there a free plan?
Yes. The pricing page shows a $0 Hobby plan and monthly paid plans for Starter, Growth, Pro, and Enterprise contact sales options.
Quick Facts
- Category
- AI infrastructure
- Primary use
- Memory for AI agents and apps
- Workflow
- Capture, extract, retrieve
- Platform
- Managed cloud
- Source domain
- actx0.com
- Pricing shape
- Free tier plus monthly paid plans
Actx0 Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 5
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