Pleraque AI systemata eundem errorem faciunt.

Problema directe ad linguae exemplar mittunt et sperant responsum rectum fore.

Watch 30 second demo

Natura hanc quaestionem ante milliones annorum solvit.

In colonia apum, inventio non fit decisio quia una apis decernit. Apis exploratrix ad alvum redit et choream octavariam in favo verticali saltat — angulus directionem indicat, longitudo distantiam, vigor qualitatem. Sed chorea non est monologus. Apes sorores ducem sequuntur, antennis tangunt, et responsum in tempore reali praebent. Signa stationis choream totaliter prohibere possunt. Solum cum nuntius inspectionem socialem superat, via digna est ire.

WaggleDance hac logica aedificatur.

Problema non directe ad LLM dat. Primum ad rectum solutorem dirigit, per plures agentes resultatum validat, et exemplaribus linguae utitur solum cum vere auxiliantur. Quisque gradus vestigium sequibile relinquit.

Chorea octavaria facta est algorithmica directio. Favus factus est structura memoriae MAGMA. Et somnus nocturnus apum factus est Dream Mode — simulatio ubi systema defectus diei recensit, milia viarum alternarum probat et sapientius evigilat.

Hoc non est metaphora. Hoc est ingenium intelligentiae collectivae.

Primum solutor, non sermocinatio
Sine rete / non connexum / proprium hardware
MAGMA: iterata exhibitio, provenientia, fides
Nunc clona et tempta

⮕ Clone & Run

Depone, furca et statim localiter curre. Totum depositorium in GitHub sine registratione paratum est.

Licentia: Apache 2.0 + BUSL 1.1. Vide terminos in GitHub.
Dies mutationis BUSL: 18 Martii 2030.

Cur hoc diversum est

AI non coniecturat

Solutores primum eunt. Validator verificat. LLM intrat solum cum rectus solutor non sufficit.

AI omnia meminit

MAGMA decisiones, fontes, replay et gradus fidei registrat. Vide quid factum sit, cur, et quo ordine.

AI nocte discit

Dream Mode defectus recenset, meliores vias simulat et meliora exemplaria in diem sequentem aedificat.

AI statum suum monstrat

Hologram Brain statum 32 nodorum tempore reali visibilem facit. Non arcam nigram spectas — sed systema operans, quod explicat quid agat et cur.

AI in rete tuo manet

Omnia in proprio ambitu tuo currunt. Nulla nubes obligatoria, nulla data promptorum exeunt, nulla dependentia SaaS.

AI crescit

Idem codex a Raspberry Pi usque ad profilum fabricae operatur.

Profila dispositionis — idem runtime, quattuor profila

Instrumentum GADGET

RPi, margo, sensor

Casa COTTAGE

Sine rete, connexio intermittens

Domus HOME

Automatio domestica

Fabrica FACTORY

Monitoratio, anomaliae, auditus

Dashboard et Hologram Brain statim post initium parata sunt. Celeritas primae responsionis a profilo, apparatu, atque modo pleno vel stub pendet.

Quid fit cum clicas “Analyse depositorium”?

Incitamentum directe ad Grok mittitur — et in tuo clipboardio ut tergum servatur

Grok in nova scheda cum incitamento parato aperitur

Analysem profundam depositorii, comparationem notatam cum competitoribus, et aestimationem industrialem accipis

Si praeimpletio non operatur, manualiter aggluta — incitamentum iam in clipboardio tuo est.

Eadem instructione in Claude, ChatGPT vel quolibet alio LLM uti potes. Grok optio praedefinita in hac pagina est.

Quid Grok analysat

Cum clicas “Analyse depositorium”, systema profundam analysem exsequitur:

Praesens status codicis

Ramus principalis, structura, moduli et commissiones recentes

README contra realitatem

Quid exsecutum est contra quid planificatum vel aspiratum est

Probationes et maturitas

Tegumentum probationum, maturitas practica et paratio ad productionem

Hologram Brain et MAGMA

Exemplar memoriae, architectura auditūs, provenientia et machinae fiduciae

Comparatio competitorum

Notae 1-10 in sex axibus contra Domus Assistant, Node-RED, n8n, Open WebUI, LangGraph, AutoGen, CrewAI, Ollama

Aestimatio dispositionis industrialis

Usus industriales, pericula, connectores absentes, limites dispositionis

Incitamentum analyseos:

Incitamenta sequentia Grok

Clica incitamentum ut copies. In sessione Grok aggluta pro investigatione profundiore.

Quomodo WaggleDance coniungam?

Elige profilum et dispositionem personalem a Grok accipe.

Quomodo WaggleDance comparatur

Quodque instrumentum infra bonum est in quod facit. Comparatio ostendit quomodo architectura solver-first WaggleDance diversa est — non quod alii mali sint.

vs. Domus Assistant

HA: Deterministic rules and automations, but no solver-based routing before the LLM.
WD: Solver-first routing (7+ deterministic solvers) → verifier → LLM only as fallback. Every decision auditable via MAGMA trail.
HA: No autonomous model training, no overnight learning.
WD: 8 sklearn specialist models + Dream Mode overnight learning with canary lifecycle.
HA's advantage: excellent integration ecosystem (2000+ integrations).

vs. LangGraph

LG: Graph-based multi-agent, but LLM-centric — everything goes through the LLM.
WD: Solver-first. LLM is Layer 1 (last), not Layer 3 (first).
LG: No append-only auditing, no canary model training, no dream mode simulation.
WD: MAGMA 5-layer provenance + 8 specialist models + counterfactual simulations.
LG's advantage: stronger cloud ecosystem and documentation.

vs. AutoGen / CrewAI

AG/CA: Multi-agent frameworks, but without deterministic solvers.
WD: 7+ deterministic solvers are routed BEFORE any LLM call.
AG/CA: No edge/factory profiles, no offline-first architecture.
WD: 4 profiles (GADGET → FACTORY), fully offline, from ESP32 to DGX.
AG/CA: No autonomous overnight learning or canary promotion.

vs. Ollama / LocalAI

Ollama: Local LLM engine, no decision-making architecture.
WD: Uses Ollama as one component (Layer 1 fallback), but builds solver routing, MAGMA auditing, specialist models, and Dream Mode on top.
Ollama is the engine. WaggleDance is the whole car.

vs. n8n / Node-RED

n8n/NR: Visual workflow automation tools, excellent flow editors.
WD: Not a visual flow editor but an autonomous multi-agent runtime that learns and improves.
n8n/NR: No sklearn models, no append-only provenance, no counterfactual simulation.
WD: 8 models + 9 SQLite databases + ChromaDB/FAISS + Dream Mode.

Dispositio — WD's Advantage

Docker: clone → docker compose up -d — Ollama, Voikko (Finnish NLP), and the app all in one.
No separate manual installations in Docker mode.
4 profiles with automatic hardware detection (GADGET / COTTAGE / HOME / FACTORY).

Time Evolution — WD's Decisive Advantage Over ALL Competitors

No competitor improves autonomously over time. WaggleDance is the only one that builds cumulative expertise.

Time	WaggleDance	Domus Assistant	LangGraph	AutoGen/CrewAI	Node-RED/n8n	Ollama
Day 1	LLM fallback ~30-50%, solvers learning	Same as always	Same as always	Same as always	Same as always	Same as always
Month 1	HotCache fills, LLM ~20-30%, first canary promotions	No change	No change	No change	No change	No change
Month 6	LLM ~10-15%, specialists maturing, ~180 nights of Dream Mode	No change	No change	No change	No change	No change
Year 1	LLM ~5-8%, MAGMA with thousands of audited paths	No change	No change	No change	No change	No change
Year 2	LLM <3-5%, >95% deterministic, TCO a fraction of day 1	No change	No change	No change	No change	No change

The competitors' column is empty everywhere except day 1. They don't learn. They don't improve. On day 730, they are exactly the same as on day 1.

Quaestiones frequenter rogatae

Is WaggleDance Swarm AI free?

Yes. Download and run immediately. Apache 2.0 parts are freely usable. Non-commercial personal use of BUSL-protected modules is permitted. For commercial use, check the license terms on GitHub.

Does it require an internet connection?

No. WaggleDance is designed to work fully offline on local hardware. Internet is only needed for initial setup and updates.

What hardware is needed?

Minimum: Raspberry Pi 4 or equivalent (GADGET profile). Recommended: modern x86 server for multi-agent orchestration (FACTORY profile).

Why Grok for analysis?

You get a quick second technical opinion on the public repo, documentation, and competitive landscape. You can use the same prompt in Claude, ChatGPT, or any other LLM.

What is MAGMA?

An auditing and provenance framework. Every agent decision is recorded so you get traceability, replay, and trust assessment visibility.

What is Dream Mode?

An overnight learning mode where the system reviews the day's failures, simulates better routes, and builds better models for the next day — automatically without user action.

What happens after first startup?

Dashboard and Hologram Brain are available immediately. First response speed depends on profile and hardware.