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FleekPlatforma za razvoj za razvoj i implementaciju agenata umjetne inteligencije i modernih web aplikacija

4.7 (6)
Daniel NikulshynRecenzirao Daniel Nikulshyn·Ažurirano srpanj 2026.

Pregled

Fleek je platforma za razvoj usmjerenog na umjetnu inteligenciju koja pojednostavnjava proces izgradnje, implementacije i upravljanja aplikacijama i autonomnim agentima novije generacije. Pruža infrastrukturu i alate tako da se programeri mogu usredotočiti na pisanje koda umjesto konfiguriranja servera ili slojeva orkestracije. Platforma podržava brzu implementaciju agenata umjetne inteligencije, web stranica i servisа u pozadini putem ujedinjenog sučelja, s integracijama za uobičajene okvire i odlučivanje o decentraliziranom spremištu. Cilja na programere koji žele izvršiti proizvode koji su rođeni kao dijelovi umjetne inteligencije bez sastavljanja zasebnih servisа za hosting, radno vrijeme i upravljanje agenata.

Ključne značajke

  • Hostiranje i orkestracija agenata umjetne inteligencije
  • Jedno-klik deploy aplikacija
  • Integrirani razvojni dashboard
  • Podrška za serverless funkcije
  • Decentralizirane opcije za pohranu
  • API-ji i SDK-ovi za automatizaciju

Cijene

Model
Freemium
Ocjena
4.7 / 5 (6)

Slučajevi uporabe

Implementirajte autonomne agente umjetne inteligencije u proizvodnju

Hostirajte i orkestrirajte agente umjetne inteligencije kroz Fleek-ovu upravljanu infrastrukturu, što eliminira potrebu za konfiguracijom prilagođenih runtime ili stackova za upravljanje agentima.

Brzo izdajte full-stack AI web aplikacije

Koristite jedno-klik deploy za push AI-nativnih web stranica i backend usluga od koda do proizvodnje kroz ujedinjeni razvojni dashboard.

Izgradite serverless backende s decentraliziranom pohranom

Kombinirajte serverless funkcije s decentraliziranim opcijama pohrane za stvaranje modernih web aplikacija bez upravljanja serverima ili tradicionalnog hostinga.

Automatizirajte radne tokove putem API-ja i SDK-ova

Integrirajte Fleek-ove API-je i SDK-ove u postojeće pipeline za programski deploy, upravljanje i skaliranje agenata umjetne inteligencije i aplikacija.

Prednosti i nedostaci

Prednosti

  • Ujedinjeni radni tok za aplikacije i agente umjetne inteligencije
  • Smanjuje DevOps trošak za razvojne timove
  • Podrška za moderne okvire umjetne inteligencije i weba
  • Brzi deploy od koda do proizvodnje

Nedostaci

  • Manje etabliran od glavnih cloud pružatelja
  • Kriva učenja za timove koji su novi u infrastrukturi agenata
  • skup funkcija još uvijek evolucioni
  • Cijene mogu ne biti pogodne za hobi projekte u velikom obimu

Recenzije

4.7

Prosjek iz 6 ocjena.

5
4
4
2
3
0
2
0
1
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Prijavi se za ostavljanje recenzije.

Liam O’Connor

Liam O’Connor

May 11, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: support for serverless functions and supports modern AI and web frameworks. Where it lags: pricing may not suit hobby projects at scale. On balance the feature set — especially decentralized storage options — justifies the 4 stars for our use case.

Esther Adeyemi

Esther Adeyemi

Mar 14, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: decentralized storage options and unified workflow for apps and AI agents. Where it lags: feature set still evolving. On balance the feature set — especially decentralized storage options — justifies the 5 stars for our use case.

SG

Sanjay Gupta

Feb 2, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: support for serverless functions and reduces DevOps overhead for developers. On balance the feature set — especially aI agent hosting and orchestration — justifies the 5 stars for our use case.

Priya Nair

Priya Nair

Dec 4, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: integrated developer dashboard and reduces DevOps overhead for developers. Where it lags: less established than mainstream cloud providers. On balance the feature set — especially integrated developer dashboard — justifies the 4 stars for our use case.

Ahmed Saleh

Ahmed Saleh

Oct 8, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is aI agent hosting and orchestration — handled better than most — and quick deployment from code to production. Worth the time if this is your use case.

Sofia Lindqvist

Sofia Lindqvist

Jul 1, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is one-click application deployment — handled better than most — and quick deployment from code to production. Worth the time if this is your use case.

Pitanja

Is Fleek a good fit for small or hobby projects?

Fleek is developer-focused and reduces DevOps overhead, but its pricing may not suit hobby projects at scale. Teams new to AI agent infrastructure should also expect a learning curve, and the platform is less established than mainstream cloud providers with a still-evolving feature set.

Asked by Tomáš Novák · Nov 19, 2025

How does Fleek integrate with existing frameworks and automation workflows?

Fleek offers APIs and SDKs for automation, supports common modern AI and web frameworks, and includes integrated decentralized storage options. Deployment is one-click from code, and the developer dashboard centralizes app and agent management, reducing the need for separate hosting and orchestration tools.

Asked by Kwame Mensah · Oct 9, 2025

What can I actually build and deploy on Fleek?

Fleek supports deploying AI agents, modern websites, backend services, and serverless functions through a unified dashboard. It's designed for AI-native products, so you can host and orchestrate autonomous agents alongside traditional web apps without stitching together separate infrastructure stacks.

Asked by Liam O’Connor · Aug 13, 2025

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