Project OMAS: Architecting the Enterprise Multi-Agent System
The enterprise AI market is treating stochastic text generators as operational databases. We are bypassing chat wrappers to build secure, deterministic LangGraph state machines.
We are building deterministic, high-security AI infrastructure for the enterprise. Read our architectural deep-dives, system updates, and research on deploying autonomous agents in production.
The enterprise AI market is treating stochastic text generators as operational databases. We are bypassing chat wrappers to build secure, deterministic LangGraph state machines.
Users hate loading spinners. We open-source our approach to intercepting LangGraph state changes via WebSockets, separating the agent's internal reasoning from its final output, and rendering interactive dashboards in real-time.
RAG is dangerous if not permissioned correctly. A look into the ByteTect Librarian node, tenant-isolated Elasticsearch indices, and how we enforce rigid RBAC at the embedding layer before the LLM ever sees the data.
Visual Critic Node integrated with Gemini 2.5 Flash for autonomous asset QA.
Multi-tenant Elasticsearch indexing now live in production.
Nexus Orchestrator deployed to early-access partners. Includes baseline WS streaming.
We are currently onboarding early-adopter partners for the Nexus Multi-Agent System. Stop wrestling with disjointed data pipelines and hallucinating wrappers.