Suna tambayar samfurin harshe da farko kuma suna fatan amsar ta yi daidai.
Halitta ta warware wannan matsalar shekaru miliyoyi da suka gabata.
A gidan kudan zuma, gano ba ya zama shawarar yanke saboda dan kasa daya ya ce. Mai binciken wuri ya koma gidan ya raya raye-rayen lamba-takwas a saman zuma na tsaye — kusurwar sashin kai tsaye yana nuna hanya, tsawon lokaci yana nuna nisa, karfin yana nuna inganci. Amma raye-rayen ba wata magana ba ce. 'Yan'uwan kudan zuma suna bin mai raye-rayen, suna taba shi da anten, suna kuma ba da amsa a ainihin lokaci. Sinyoyin tsayawa na iya dakatar da raye-rayen gaba daya. Sai lokacin da sakon ya tsira daga binciken al'umma, hanya da ta cancanci bi ta bayyana.
An gina WaggleDance a kan wannan dabara.
Ba ya tura matsalar kai tsaye zuwa LLM. Yana fara jagora zuwa ga solver da ya dace, yana tabbatar da sakamako ta hanyar wakilai da yawa, kuma yana amfani da samfuran harshe kawai idan suna taimakawa da gaske. Kowane mataki yana barin tunawa da za a iya auditing. Kowane mafita ana iya bayyana shi. Kowane sake zagaye yana gina kwarewar tsarin kansa.
Raye-rayen lamba-takwas ya zama routing na algorithmic. Zumar ta zama tsarin MAGMA. Kuma hutun dare na kudan zuma ya zama Dream Mode — kwaikwayon inda tsarin yake duba gazawa na rana, yake gwada dubunnan hanyoyi dabam-dabam, kuma yake tashi mafi wayo.
Wannan ba kinaya ba ce. Wannan tsarin gine-gine ne don basirar injina ta gama kai.
Zazzage, forka, kuma gudanar da gida nan take. Ana samun duk repo akan GitHub ba tare da yin rijista ba.
License model: Apache 2.0 + BUSL 1.1 (open core + source-available protected modules). Check the terms on GitHub.
BUSL module change date: March 18, 2030.
Masu warwarewa suna fara aiki. Mai tabbatarwa yana dubawa. LLM yana shiga ne kawai idan solver ɗin da ya dace bai isa ba.
MAGMA yana rikodin yanke shawara, tushe, maimaitawa, da makin amincewa. Duba abin da ya faru, dalilin, da kuma a wane tsari.
Dream Mode yana nazarin gazawa, yana kwaikwayar hanyoyi mafi kyau, kuma yana gina samfura mafi kyau don gobe.
Hologram Brain yana sa halin nodes 32 ya bayyana a ainihin lokaci. Ba ka kallon black box — kana kallon tsarin da ke aiki.
Komai yana gudana a cikin muhallinku. Babu girgije na tilas, babu bayanan prompt da ke fita, babu dogara ga SaaS.
Codebase ɗaya yana aiki daga Raspberry Pi zuwa factory profile. Ba demo kawai ba ne, ba framework kawai ba.
RPi, edge, sensor
Babu intanet, alaka mara tabbas
Aiki na kai tsaye
Kulawa, abubuwa marasa kyau, bincike
Dashboard da Hologram Brain suna nan nan da nan bayan farawa. Gudun amsar farko ya dogara da profile, hardware, da ko ana amfani da full ko stub mode.
Ana aika prompt kai tsaye zuwa Grok — kuma ana kwafa shi zuwa clipboard ɗinka a matsayin backup
Grok yana bude a sabon tab tare da prompt a shirye
Za ka samu cikakken bincike na repo, kwatancen masu fafatawa da aka ba maki, da tantance shirye-shiryen masana'anta.
Idan cikawa ba ta aiki, liƙa da hannu — prompt yana cikin clipboard dinka.
Za ka iya amfani da prompt iri daya a cikin Claude, ChatGPT, ko wani LLM. Grok shine zaɓi na asali a shafin nan.
Lokacin da ka latsa “Binciki Repository”, AI yana yin bincike mai zurfi da ya haɗa da:
Babban reshe, gine-gine, module, da commits na baya-bayan nan
Abin da aka aiwatar vs abin da aka shirya ko burin
Ma'auni na gwaji, balaga ta hakika, da shirin samarwa
Model na ƙwaƙwalwa, gine-ginen bincike, asali, da hanyoyin amana
An ba da maki 1-10 a kan axes shida idan aka kwatanta da Gida Assistant, Node-RED, n8n, Open WebUI, LangGraph, AutoGen, CrewAI, Ollama
Lamuran amfani na masana'antu, haɗari, integrations da suka ɓace, deployment blockers
Latsa prompt don kwafa. Liƙa a cikin zaman Grok don bincike mai zurfi.
Zaɓi profile kuma ka samu jagorar deployment da aka keɓance daga Grok.
Kowane kayan aiki a ƙasa yana da kyau a cikin abin da yake yi. Kwatancen yana nuna yadda gine-gine na WaggleDance mai solver-first ya bambanta — ba don a ce wasu ba su da kyau ba.
clone → docker compose up -d — Ollama, Voikko (Finnish NLP), and the app all in one.No competitor improves autonomously over time. WaggleDance is the only one that builds cumulative expertise.
| Time | WaggleDance | Gida 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.
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.
No. WaggleDance is designed to work fully offline on local hardware. Internet is only needed for initial setup and updates.
Minimum: Raspberry Pi 4 or equivalent (GADGET profile). Recommended: modern x86 server for multi-agent orchestration (FACTORY profile).
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.
An auditing and provenance framework. Every agent decision is recorded so you get traceability, replay, and trust assessment visibility.
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.
Dashboard and Hologram Brain are available immediately. First response speed depends on profile and hardware.
