SwanOne NEO Orchestrator
Multi-agent AI orchestration runtime. Define agents as graphs, route work between Llama / GPT / Claude / local models, persist memory, audit every tool call. Built for enterprises that can't ship "ChatGPT to all employees" and call it a strategy.
- Graph-defined agentsDeclarative DSL → DAG execution. State checkpointing across nodes. Resume from any failure.
- Model-agnostic routingCost / latency / quality routing across OpenAI, Anthropic, local Llama / Mistral, Bedrock, Vertex.
- Tool registry + sandboxingMCP-native. Each tool runs in an isolated capability scope. Audit log per call.
- Memory + RAG built-inpgvector, hybrid search, semantic + symbolic memory tiers. Per-tenant isolation.
- Observability firstOpenTelemetry traces, prompt diffing, replay, evaluation harness.
- Compliance-awareEU AI Act + AESIA + OWASP LLM Top 10 mappings. NIS2 audit-ready logs.