Agent Memory
Agents that rely on conversation context and flat retrieval hit a ceiling quickly. Perseus gives your agent a persistent, queryable knowledge graph it can reason over across sessions.
Retrieving documents isn't enough. To reason over complex domains, agents need to understand what changed last quarter and why decisions were made. Perseus provides the structured world model that flat RAG cannot deliver.
Go beyond text passages. Your agent queries entities and typed relationships at inference time, allowing it to understand how Entity A relates to Entity B instead of just summarizing isolated snippets.
A retrieval layer designed for agent workflows. Get structured results with configurable traversal depth and source attribution, providing the precise context needed for complex decision-making.
When your domain changes, the graph updates. Maintain a persistent intelligence layer that stays current across sessions for specialized fields like regulatory intelligence, finance, or technical documentation.
