AI EMPLOYEE OS
Every conversation, decision, and correction permanently stored. Your AI employees build institutional knowledge that compounds — they never forget, never repeat mistakes, never lose context.
THREE-LAYER COGNITION
Identity Layer
Who the agent is. Role definition, personality, expertise boundaries. An agent hired as your CMO knows marketing strategy, not server configuration.
Expertise Layer
Learned patterns and corrections. Every time you say 'no, do it this way,' the agent permanently updates its approach. Mistakes happen once.
Experience Layer
Facts, decisions, and context. Client preferences, project history, meeting notes, deal stages — institutional knowledge that compounds daily.
UNDER THE HOOD
SQLCipher encrypted local database. Every memory encrypted at rest. No vendor lock-in, no cloud dependency — full data sovereignty.
Ask 'what did the agent know last Tuesday?' Bi-temporal architecture tracks both when facts were true AND when the agent learned them. Full audit trail.
As memory grows, the engine automatically consolidates duplicates, resolves conflicts, and compresses stale context. Clean memory, not bloated context windows.
GraphRAG connects people, projects, decisions, and preferences into a queryable knowledge graph. Your agents understand relationships, not just facts.
State-of-the-art embedding models power semantic search across every memory. Ask natural questions — the engine finds conceptually related answers even when the exact words don't match.
5 memory types: decision, procedure, observation, raw, conversation. Cross-agent sharing with ACL controls. Hybrid retrieval: keyword + graph + vector.