Laag 02 · CONNECT · vier-lagen-stack

Connect

Een swarm, geen enkelvoudig model — 54 agents, één substraat.

Correlatie is waar ruwe signaal intelligence wordt. Events krijgen betekenis wanneer ze gekoppeld worden aan entiteiten, campagnes en voorkennis. Dat werk wordt gedaan door een swarm van gespecialiseerde agents — elk met een nauwe competentie, samen breed gedekt. Het register is echt: 54 agents, machine-leesbaar.

Zie de live graaf/api/swarm →
L2 · PROOFSamenstelling register
Agents in registry
real topology
Registry edges
co-membership + hubs
Domains
strategy → operations
Honeypot events
what they correlate
L2 · HOWHoe de swarm werkt
A

Specialisation is the point

Agents are categorised by domain (strategy, intelligence, security, engineering, operations) and tier (fast, smart, deep). A fast-tier agent triages; a deep-tier agent adjudicates. Routing by competence beats one model doing everything mediocrely.

B

Topology you can check

The graph on /swarm.html is not decoration — nodes and edges come from the real agent registry (domain co-membership plus cross-domain hub links), served machine-readable from /api/swarm. Click a node to read what the agent actually does.

C

Threads over chat

Agents coordinate through threads bound to root events, with summaries and status — shared memory rather than ephemeral chat. Outputs are structured so downstream agents (and auditors) consume them without re-reading prose.

D

Agent-native by design

The whole platform speaks to machines: a well-known manifest at /.well-known/agent-manifest.json, llms.txt for LLM readers, and JSON endpoints for every published figure. Agents are first-class readers of this site.

L2 · NEXTWaar correlatie naartoe gaat
→ L3

Reasoning layer

Correlated signal becomes judgement in OpenMythos.

→ layer 03 · reason
→ visual

Live swarm graph

Interactive force-directed real topology with D1 liveness.

→ /swarm
→ register

Agent registry

Full filterable registry with manifests and run history.

→ /agents