AI agents are only as trustworthy as what they remember — and today, agent memory is ungoverned. Agents recall the wrong things, get poisoned by untrusted content, and leak data across contexts, with no provenance and no control over what influences a privileged action. It is the leading reason enterprise agent pilots stall before production.
Metaworkers is the governed memory and retrieval layer for enterprise AI agents. We enforce provenance on every memory, taint-tracking of untrusted inputs, purpose-binding before any privileged action, and immutable audit trails — wrapped around retrieval that is accurate, not just safe. The result: agent memory enterprises can actually put into production, with the governance security and compliance teams require and the retrieval quality product teams demand.
We start with customer experience, where the pain and the budgets are largest — governed customer memory that persists correctly across sessions and channels.
Our edge is threefold: deep search and ranking expertise (ex-Amazon, ex-Microsoft) that wins on retrieval quality, not just governance; a 2010–2018 patent portfolio that specifically claims governed and cross-organization agent memory; and partnerships with NVIDIA Inception and AWS for compute and go-to-market.
Building enterprise agents, or stuck getting an agent pilot to production? We're onboarding design partners. Follow along, or reach out.
Specialties:
Agentic AI, AI agents, Enterprise AI, AI memory, Governed memory, Retrieval, RAG, AI governance, AI security, Prompt injection defense, Conversational AI, Customer experience AI, LLM infrastructure, AI trust & safety, Multi-agent systems

Metaworkers.AI

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Metaworkers.AI

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