Multi-agent · Self-learning · Governed
Oiya is the governed knowledge layer between your data and your AI agents. Connect your existing sources, structure business definitions and decisions into a graph, and query them from any agent or framework, with human review before anything becomes canonical.
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.
Oiya is a shared, structured knowledge layer for multi-agent AI systems. It gives every AI agent in a business the same evolving source of truth to work from, while allowing each team's agents to learn independently.
Knowledge divergence is when multiple AI agents within the same organisation diverge on business rules, terminology, policies and context, leading to inconsistent outputs and decisions across the business.
Oiya is for businesses running or planning to run multiple AI agents that need to stay aligned on shared company knowledge, typically engineering teams, platform teams, and AI leads at mid-to-large companies.
Working with design partners running multi-agent systems in production, including Instawork, Agile Loop and Verafind.