AgentRunnerVeidojiet, izvietojiet un pārvaldiet AI dzejus un automatizētus darba plūsmas ar vizuālu interfeisu, bez smaga kodēšanas.

4.6 (5)

Pārskatījis Daniel Nikulshyn·Atjaunināts 2026. g. jūlijs

No-Code Low-Code AI Agents Workflow Automation Visual Builder LLM Integration Team Collaboration

Pārskats

AgentRunner ir vizuālais izstrādes platforma AI balstītu lietojumprogrammu un autonomu dzeju izveidei. Pārvietojiet un nometiet blokus, lai piesaistītu valodas modeļus, rīkus, datu avotus un loģikas blokus, un izveidotu pielāgotas darba plūsmas, kas risina uzdevumus, piemēram, pētniecību, klientu atbalstu, saturu ģenerēšanu un procesu automatizāciju. Platforma ir paredzēta gan tehniskajiem, gan ne-tehniskajiem izstrādātājiem, piedāvājot atkārtoti lietojamus komponentus, dzeju veidnes un izpildes laika pārvaldību, lai komandas varētu ātri prototipēt un mērogot uz ražošanas vidē. Iebūvētais uzraudzības rīks ļauj sekot dzeju uzvedībai, izmaksām un rezultātiem laika gaitā.

Galvenās funkcijas

Drag-and-drop agent builder
Integrācijas ar populāriem LLM un API
Darba plūsmas automatizācija un laika grafika izveide
Agent runtime monitoring and logs
Template library for common use cases
Team collaboration on shared projects

Cenas

Modelis: Free
Kategorija: AI Agentu Platforma
Vērtējums: 4.6 / 5 (5)

Lietošanas gadījumi

Automatizēt klientu atbalsta triages

Izveidojiet AI dzeju, kas lasīs ienākošos biļetes, klasificēs tās un pārvadīs vai reaģēs, izmantojot savienotus LLM un datu avotus, samazinot manuālo darba slodzi.

Palaidiet vairākā soļu pētniecības dzeju

Izstrādājiet autonomas dzeju, kas iegūst informāciju no vairākiem API un avotiem, sintētiski apvieno atziņas un piegādā strukturētus pētījumu pārskatus saskaņā ar grafikā noteiktu laiku.

Prototipējiet saturu ģenerēšanas ķēdes

Izmantojiet drag-and-drop blokus, lai savienotu uzvedes, rīkus un pārskata soļus, lai ģenerētu, uzlabotu un publicētu saturu bez plaša koda rakstīšanas.

Uzraudzīt un pārvaldīt ražošanas dzeju

Pievienojiet dzeju ražošanas vidē un izmantojiet iebūvētos žurnālus un izpildes laika uzraudzību, lai sekotu uzvedībai, izvadēm un LLM izmaksām komandā kopīgā projektu ietvaros.

Plusi un mīnusi

Plusi

Low-code visual builder speeds up prototyping
Supports multi-step autonomous agents
Reusable templates and components
Centralized monitoring and management

Mīnusi

Visual approach may limit highly custom logic
Learning curve for complex agent design
Dependent on external LLM provider costs

Atsauksmes

4.6

Vidējais no 5 vērtējumiem.

Pieslēdzies, lai atstātu atsauksmi.

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.

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.

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

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.

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.

Jautājumi

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