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 è un’infrastruttura di memoria gestita per agenti AI e app. Aiuta i team a salvare i ricordi delle sessioni e le conoscenze dell’area di lavoro, per poi recuperare il contesto pertinente in millisecondi prima della risposta successiva del modello.
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.
User messages are stored on an agent session, then extracted into short facts that can be searched later instead of replaying the full conversation.
The product can search uploaded documents alongside session memories when the question is about docs or shared knowledge.
Useful content from user turns is turned into compact memories, while greetings and other low-value turns are skipped.
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.
The site shows usage through Python, Node.js, Go, cURL, and REST, so teams can integrate the memory layer into existing agent workflows.
Enterprise-oriented workspace features include access keys, audit logs, usage tracking, roles, and billing per team.
Keep ticket context in a session so support agents can pick up the last useful fact without rereading the full thread.
Store objections, commitments, and timing details on a deal session, then retrieve them before the next call or follow-up draft.
Persist conventions, architecture decisions, and team standards so coding agents stay aligned across sessions and do not reintroduce rejected patterns.
Attach documents such as FAQs or policies to a workspace and search them alongside session memories when answering product or process questions.
Map chat, email, or voice interactions to the same session id when an app needs shared context across channels, using its own connector logic.
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.
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.
The rendered pages show Python, Node.js, Go, cURL, and REST examples.
No. The case pages say it is the memory layer and not a replacement for CRM, helpdesk, EHR, or clinical safety systems.
Yes. The pricing page shows a $0 Hobby plan and monthly paid plans for Starter, Growth, Pro, and Enterprise contact sales options.
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