AgentRunnerVisually design, deploy, and manage AI agents and automated workflows without heavy coding.

4.6 (5)

Reviewed by Daniel Nikulshyn·Updated July 2026

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

Overview

AgentRunner is a visual development platform for building AI-powered applications and autonomous agents. Through a drag-and-drop interface, users can connect language models, tools, data sources, and logic blocks to create custom workflows that handle tasks like research, customer support, content generation, and process automation. The platform targets both technical and non-technical builders, offering reusable components, agent templates, and runtime management so teams can prototype quickly and scale into production. Built-in monitoring helps track agent behavior, costs, and outputs over time.

Key features

Drag-and-drop agent builder
Integrations with popular LLMs and APIs
Workflow automation and scheduling
Agent runtime monitoring and logs
Template library for common use cases
Team collaboration on shared projects

Pricing

Model: Free
Category: AI Agents Platform
Rating: 4.6 / 5 (5)

Use cases

Automate Customer Support Triage

Build an AI agent that reads incoming tickets, classifies them, and routes or responds using connected LLMs and data sources, reducing manual workload.

Run Multi-Step Research Agents

Design autonomous agents that gather information from multiple APIs and sources, synthesize findings, and deliver structured research reports on a schedule.

Prototype Content Generation Pipelines

Use drag-and-drop blocks to chain prompts, tools, and review steps for generating, refining, and publishing content without writing extensive code.

Monitor and Manage Production Agents

Deploy agents into production and use built-in logs and runtime monitoring to track behavior, outputs, and LLM costs across the team's shared projects.

Pros & Cons

Pros

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

Cons

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

Reviews

4.6

Average from 5 ratings.

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.

Q&A

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