OlympHill
A

AgentRunnerVizualno dizajnirajte, implementirajte i upravljajte agente umjetne inteligencije i automatiziranim workflow-om bez ozbiljnog programiranja.

4.6 (5)
Daniel NikulshynRecenzirao Daniel Nikulshyn·Ažurirano srpanj 2026.

Pregled

AgentRunner je vizualna razvojna platforma za izradu aplikacija i autonomnih agenata koji koriste umjetnu inteligenciju. Putem sučelja za povlačenje i otpuštanje, korisnici mogu povezati jezične modele, alate, izvore podataka i logičke blokove kako bi stvorili prilagodljene radne tokove koji rukuju zadacima kao što su istraživanje, podrška kupcima, generiranje sadržaja i automatsko izvršavanje procesa. Platforma je namijenjena kako tehničkim tako i netehničkim izgrađivačima, nudeći ponovno upotrebljive komponente, predloške agenata i upravljanje radnim vremenom kako bi timovi mogli brzo izraditi prototip i proširiti proizvodnju. Ugrađeno praćenje pomaže praćenju ponašanja agenata, troškova i izlaznih podataka tijekom vremena.

Ključne značajke

  • Drag-and-drop agent builder
  • Integracije s popularnim LLM-ovima i API-ijima
  • Automatizacija workflow-a i zakazivanje
  • Monitoragent runtime-a i logova
  • Biblioteka predloška za uobičajene slučajeve uporabe
  • Suradnja tima na zajedničkim projektima

Cijene

Model
Free
Ocjena
4.6 / 5 (5)

Slučajevi uporabe

Automatizirajte podršku za korisnike

Izgradite agenata umjetne inteligencije koji čita dolazeće tikete, klasificira ih i usmjerava ili odgovara pomoću povezanih LLM-ova i izvora podataka, što smanjuje ручni rad.

Pokrenite višekorakne agente za istraživanje

Dizajnirajte autonomne agente koji prikupljaju informacije iz više API-ja i izvora, sintetiziraju otkrića i dostavljaju strukturne izvještaje o istraživanju po rasporedu.

Prototipirajte cjevovode za generiranje sadržaja

Koristite blokke za preglednika da povežete signale, alate i korake pregleda za generiranje, usavršavanje i objavljivanje sadržaja bez pisanja opsežnog koda.

Praćenje i upravljanje agentima u proizvodnji

Implementirajte agente u proizvodnju i koristite ugrađene logove i praćenje vremena izvršavanja za praćenje ponašanja, izlaznih podataka i troškova LLM-a preko zajedničkih projekata tima.

Prednosti i nedostaci

Prednosti

  • Low-code vizualni graditelj brzi prototipiranje
  • Podrška za multi-korak autonomne agente
  • Ponovno uporabljivi predlošci i komponente
  • Centralizirano praćenje i upravljanje

Nedostaci

  • Vizualni pristup može ograničiti visokokorisnu logiku
  • Kriva učenja za kompleksni dizajn agenata
  • Ovisnost o vanjskim troškovima pružatelja LLM-a

Recenzije

4.6

Prosjek iz 5 ocjena.

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Prijavi se za ostavljanje recenzije.

WC

Wei Chen

Nov 8, 2025

Solid for our team

We rolled this out across the team last quarter and supports multi-step autonomous agents. Drag-and-drop agent builder fits neatly into how we already work, and integrations with popular LLMs and APIs removed a step we used to do by hand. but it has held up under daily use.

VN

Victor Nguyen

Nov 5, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on agent runtime monitoring and logs, and reusable templates and components caught me off guard. Learning curve for complex agent design is why this isn't a perfect score, still, I'd recommend giving it a real trial.

GO

Grace Okafor

Oct 23, 2025

Use it every day

Honestly didn't expect to like it this much. Agent runtime monitoring and logs is exactly what I needed, and low-code visual builder speeds up prototyping. I do wish visual approach may limit highly custom logic, but I reach for it almost every day now and it just clicks.

Leila Hassan

Leila Hassan

Aug 6, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on drag-and-drop agent builder, and reusable templates and components caught me off guard. Learning curve for complex agent design is why this isn't a perfect score, still, I'd recommend giving it a real trial.

MB

Marcus Bell

May 29, 2025

Use it every day

Honestly didn't expect to like it this much. Team collaboration on shared projects is exactly what I needed, and low-code visual builder speeds up prototyping. but I reach for it almost every day now and it just clicks.

Pitanja

Are there reusable templates for common use cases like customer support or content generation?

The platform offers a template library with pre‑built agents for typical scenarios such as research, customer support, content generation, and process automation, which can be customized and reused across projects.

Asked by Chidi Okonkwo · Aug 1, 2025

Can teams monitor agent performance and costs after deployment?

Yes, AgentRunner provides runtime monitoring with logs, cost tracking, and output analytics, giving teams visibility into agent behavior and resource usage over time.

Asked by Marcus Bell · Jul 12, 2025

How steep is the learning curve for building complex autonomous agents?

While the visual, low‑code builder speeds up simple prototyping, designing multi‑step or highly customized agents can require time to master the platform’s logic blocks and workflow concepts.

Asked by Mateusz Wozniak · Jun 4, 2025

What integrations does AgentRunner support for language models and external APIs?

AgentRunner includes built‑in integrations with popular large language models and a variety of APIs, allowing you to connect external data sources, tools, and services directly within its drag‑and‑drop workflow designer.

Asked by Mustafa Yilmaz · May 19, 2025

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