NeuralOps — Multi-Agent LLM Orchestration Framework
> Stateful multi-agent system with persistent memory, async queues, and full MLOps observability for agentic workflows.
$ NeuralOps is a production-grade multi-agent orchestration framework. I architected a stateful LangGraph system with dynamic tool-routing and persistent long-term memory in Qdrant — agents decompose tasks into sub-agent calls with shared memory and automatic rollback on failure.
The runtime ships with a Celery + Redis async queue handling 1,000+ concurrent agent runs, and a Prometheus + Grafana observability stack tracking token spend, p95 latency, and hallucination flags.
Built end-to-end with full MLOps discipline applied to agentic workflows — the kind of infrastructure you actually want behind a customer-facing AI product.
- 01> LangGraph stateful multi-agent orchestration
- 02> Persistent long-term memory via Qdrant vector store
- 03> Dynamic tool-routing with automatic rollback on failure
- 04> Async execution: 1,000+ concurrent agent runs (Celery + Redis)
- 05> Observability: token spend, p95 latency, hallucination flags
- 06> Containerized with Docker; Prometheus + Grafana dashboards
