Your agents forget everything the moment a session ends. You stuff more context into every prompt, burn tokens on redundant history, and still ship responses that feel like amnesia with extra steps.
Actx0 is the memory layer your agents are missing: a drop-in infrastructure that stores what matters, retrieves it in milliseconds, and keeps working across sessions, agents, and apps. No pipeline rewrites. No babysitting vector stores. Built for production teams who care about latency, cost, and control.
Why Actx0?
Personalized replies: Memories persist across users and agents, cutting prompt bloat and repeat questions.
RAG managed infrastructure: Managed retrieval over your knowledge, without operating vector stores yourself.
Prompt management: Version, label, and ship prompts with production controls built in.
Enterprise-ready: Audit logs and workspace governance ship by default.
How it works
Manage prompts: Version, label, and ship production prompts your agents will call.
Index knowledge: Upload documents once so Actx0 can retrieve grounded chunks later.
Capture messages: Stream conversations into Actx0 as your agents run.
Extract memories: Actx0 turns those messages into durable facts and preferences.
Recall context: On query, return only the most relevant memories, messages, or knowledge, then pair them with the right prompt.
Explore the docs
Platform: Workspaces, agents, sessions, memories, prompts, knowledge, and the dashboard
API Reference: REST APIs for memory, sessions, prompts, knowledge, and keys
Integrations: Webhooks, Slack, Zapier, and framework connectors
Agent Plugins: Memory plugins for Cursor, Claude Code, and more
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