Multi-agent · Self-learning · Governed
Oiya is a structured, self-updating knowledge layer for multi-agent AI systems. Connect your data sources to a living company knowledge layer that helps every agent stay aligned, learn over time, and improve safely with human review.
About Oiya and the founding team · Product overview · Contact: hello@oiya.ai
Every organisation carries institutional knowledge: what "qualified" means to your sales team, why a customer gets custom terms, which process changed after last quarter's audit. Today that context lives in people's heads, in Slack threads and docs nobody reads. Your AI agents never see it, so they guess — and they guess differently.
Oiya is structured institutional memory for your AI workforce. Not a vector store you query with keywords, but a structured, evolving knowledge layer that captures how your business actually works — terminology, relationships, processes, preferences. The kind of context a tenured colleague carries effortlessly but an LLM can never learn from pre-training.
Retrieval doesn't enforce consistency across agents and doesn't capture decisions, processes or governance. Read the comparison, or see how Oiya compares to knowledge graphs, Zep / Graphiti, knowledge bases and OpenAI memory.
Featured by industry analysts evaluating the AI agent infrastructure stack, including Gartner and Verafind. Working with design partners running multi-agent systems in production.