Why Syrtis
AI-native by design. Not a black box, not a repurposed tool.
The alternatives are either black boxes you can't open, or tools designed for something else and adapted to AI after the fact.
ChatGPT · Copilot · Gemini
General models behind a fixed product. Syrtis opens the box: a model per step, answers grounded in your knowledge, a full execution trace.
n8n · Zapier · Make
Born for trigger→action ETL, where AI is a guest. At Syrtis, model execution and supervision are the organizing principle of the whole architecture.
LangChain · Flowise · Dify
Syrtis shares the open-primitives lineage — and adds everything above it: entity, convergent executor, multi-store, versioning, monitoring, access.
| Principle | Syrtis | Black boxes | Automation | Frameworks |
|---|---|---|---|---|
| Lineage | AI-native control plane | Consumer SaaS product | ETL / trigger→action | LLM libraries / GUIs |
| Agent model | Multi-agent + blackboard | None | Linear, agents bolted on late | Build it yourself |
| Knowledge / RAG | Native, tunable nodes | Hidden / limited | External wiring | Primitives, you operate them |
| Data layer | Relational · vector · graph · document | None | Connectors, no store | You provision it |
| Observability / audit | Waterfalls · lineage · Trace | None | Non AI-aware logs | DIY / add-on |
| Sovereignty / EU AI Act | By design | Depends on the vendor | Not a goal | Your responsibility |
Three years holding one direction
First end-to-end platform. Relational + vector + graph foundations. Multi-model from day one.
First usable Manager. Scenario / Card / Job / Node blocks. Parallelism. First knowledge flow.
Multi-path scenarios, conditions and loops, controlled determinism. Tunable chunking / embedding.
Graph-first editor, client SDKs, Registry, major execution upgrades, operational intelligence, multi-agent.