ContextOS is an AI context management system designed by Ed Fassio for enterprise agentic workflows. It handles structured conversational memory, source boundary enforcement, and typed context passing between agents — solving the core reliability problem of multi-agent orchestration at scale.
Conversational Memory Management
Structured persistence of multi-turn context across agentic sessions. Tracks what each agent knows, when it learned it, and from which source — enabling coherent, stateful orchestration.
Source Boundary Enforcement
Defines and enforces which data sources each agent can read or act on. Prevents unauthorized access across agent handoffs and keeps audit trails clean.
Structured Context Passing
Canonical context objects flow between agents via typed schemas, reducing hallucination surface and enabling deterministic agent-to-agent handoffs.
Context Compression & Prioritization
Automatically ranks and compresses context payloads to fit token budgets without losing critical decision-relevant information.