Session memory with fact extraction
Store user messages in an agent session, extract useful turns into short facts, and search them later instead of replaying the full transcript.
Actx0
Actx0 is managed memory infrastructure for AI agents and apps. Store session context and workspace knowledge, then retrieve relevant facts in milliseconds.
What Actx0 is
Actx0 is managed memory infrastructure for AI agents and apps. It stores session memories and workspace knowledge, then retrieves matching context in milliseconds before the next model response. The product is meant to sit around your model, not replace it.
The platform is built around a simple workflow: write user messages to an agent session, let Actx0 extract useful facts in the background, and search those memories when you need context. The source pages position it for production use, with managed cloud hosting, access keys, workspace isolation, audit logs, and monthly billing.
Core capabilities
Workspace knowledge retrieval
Search workspace knowledge alongside session memories when the question relates to documents such as FAQs or policies.
Capture / extract / retrieve workflow
Use the documented flow of add, learn, and retrieve to capture messages, extract facts in the background, and ground the next reply on the returned hits.
Managed cloud operations
Run against managed cloud infrastructure with monthly self-serve billing, so teams do not need to provision or scale their own servers.
API-first clients
Work with Python, Node.js, Go, and REST clients using access keys and workspace IDs; the examples show no vector store to operate.
Workspace controls and auditability
Control access and visibility with workspaces, roles, access keys, audit logs, usage tracking, and optional inactivity cleanup for sessions.
Common use cases
Customer support assistants
Keep ticket context in a session so a support agent can recover the last useful fact before replying, instead of rebuilding context from the whole thread.
Sales and CRM workflows
Store stakeholder notes, objections, and commitments on a deal session, then retrieve them before the next call or follow-up message.
Healthcare operations assistants
Remember appointment preferences and prior conversation context for scheduling or intake bots, while keeping clinical systems separate.
Document-grounded agent responses
Use workspace knowledge for FAQs and policies, then ground replies in retrieved document chunks instead of relying on prompt stuffing.
Education, DevTools, and e-commerce agents
Maintain memories for tutorials, coding conventions, or personal recommendations so the agent can adapt based on what was learned in the same session.
Pros and Cons
Pros
- Retrieval is described as milliseconds-fast, which fits live agent replies.
- The platform separates session memories from workspace knowledge, so teams can use it for both conversation context and document grounding.
- Managed cloud hosting removes the need to operate your own vector store or memory infrastructure.
- Workspace controls such as roles, access keys, audit logs, and usage tracking support multi-team usage.
- The pricing page shows a free entry point plus monthly paid tiers for scaling up.
Cons
- The product does not include helpdesk, CRM, EHR, or channel connectors, so teams need to wire those parts themselves.
- The healthcare page explicitly says it is not a clinical safety system or an EHR, so it should not be used as the system of record for clinical data.
- The source pages do not provide detailed limits, retention controls, or supported integrations beyond Python, Node.js, Go, and REST.
FAQ
How does Actx0 fit into an AI agent workflow?
Actx0 stores user messages in an agent session, extracts useful facts in the background, and lets your app search those memories before generating the next reply. The source pages describe a simple flow: add messages, extract facts, then retrieve matching memories and knowledge.
What languages or interfaces does Actx0 support?
The source shows Python, Node.js, Go, and REST clients. Example code uses an access key and workspace ID, then creates an agent, session, messages, and a memory search request.
Does Actx0 have a free plan or paid tiers?
Yes. The pricing page lists Hobby at $0/mo, Starter at $19/mo, Growth at $69/mo, Pro at $219/mo, and Enterprise with custom plans. All plans are billed monthly on Actx0's managed cloud.
Does Actx0 replace my existing app, CRM, or EHR?
Actx0 is positioned as memory infrastructure rather than a helpdesk, CRM, EHR, or channel-connector product. The case pages also note that integrations like helpdesk connectors or Salesforce and HubSpot connectors are not built in.
Can Actx0 keep context across channels?
The product pages support session memory and workspace knowledge. They also note that sessions can be mapped across channels in your own app if you choose to use the same session ID, but Actx0 does not ship channel connectors.
Quick Facts
- Category
- Memory infrastructure for AI agents
- Primary users
- Teams building AI agents, support assistants, sales assistants, and other workflow agents
- Platforms / clients
- Python, Node.js, Go, and REST
- Hosting model
- Managed cloud
- Billing
- Monthly; Hobby is free and paid tiers are listed
- Source domain
- actx0.com
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