Actx0
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What is Actx0?
Actx0 is a managed memory infrastructure platform for AI agents that stores and retrieves session memories with sub-10ms latency. It extracts conversation context into searchable facts, deduplicates memories within sessions, and injects relevant context into prompts without requiring users to operate a vector store or replay full transcripts.
Actx0 pricing
Pricing model: Freemium
Free tier + Starter $19/mo + Growth $69/mo + Pro $219/mo + Enterprise (custom)
Actx0 pros
- Sub-10ms P99 retrieval latency with 90% token reduction per query
- Fully managed cloud infrastructure with multi-tenant workspaces, audit logs, and role-based access control
- Multi-language SDK support (Python, Node.js, Go, REST) with automatic memory deduplication and consolidation
- Covers diverse use cases: customer support, sales, healthcare, education, coding agents, and e-commerce
Actx0 cons
- Requires integration into existing agent workflows—not a standalone agent platform
- Session-scoped memory design may not suit applications requiring persistent long-term knowledge across unrelated sessions
- Paid tiers start at $19/mo; free tier has basic usage limits
Frequently asked questions about Actx0
Do I need to operate a vector store?
No. Actx0 provides managed semantic search over memories and documents without requiring you to provision or operate your own vector store.
What happens to my existing LLM?
You continue to run your LLM. Actx0 stores session memories, retrieves relevant hits, and injects them into your prompt before the next reply.
How fast is memory retrieval?
Sub-10ms P99 latency, with approximately 90% token reduction by retrieving only matching memories instead of replaying full transcripts.
What programming languages are supported?
Python, Node.js, Go, and REST API clients are available.