AgentRunner is an innovative no-code platform that allows users to create, train, and manage autonomous AI agents using OpenAI’s GPT models. Designed for technical and non-technical users alike, AgentRunner simplifies the process of deploying intelligent agents that can think, act, and learn over time — all within a user-friendly interface.
Whether you’re automating business workflows, building AI prototypes, or experimenting with task-oriented agents, AgentRunner offers a flexible and accessible solution for leveraging powerful language models in a structured and goal-oriented way.
Features
No-Code Agent Creation
Users can create and configure AI agents without writing code. All functionality is managed through a clean, browser-based interface.
GPT-Powered Reasoning
Agents are built using OpenAI’s GPT models, enabling sophisticated reasoning, decision-making, and multi-step task execution.
Custom Memory and Goal Setting
Each agent has long-term memory and the ability to pursue user-defined goals. This allows agents to retain context across sessions and iterate on their tasks.
Multi-Agent Interaction
Multiple agents can be created and managed simultaneously, and they can interact with one another to complete complex workflows.
Real-Time Agent Logs
All agent actions are logged and presented in a readable format. Users can track behavior, analyze decision-making, and optimize performance.
Manual or Autonomous Mode
Users can manually approve steps or allow agents to run fully autonomously, depending on the level of control required.
API Integration (Coming Soon)
Planned support for API hooks will allow users to connect AgentRunner agents with external applications and data sources.
Cloud-Based Platform
Everything runs in the cloud, meaning no installations, setup, or maintenance are required to get started.
How It Works
Users start by creating an account at agentrunner.com, then define a new agent by giving it a name, initial instructions, and a goal. The platform allows the user to define how much memory the agent has, what data it can access, and whether it should operate in manual or autonomous mode.
Once the agent is launched, it begins taking actions step-by-step, using GPT-powered reasoning to determine what to do next. Users can monitor progress in real time, view all thoughts and actions, and make adjustments to improve agent performance.
Agents can operate independently or in collaboration with other agents, depending on how the system is configured.
Use Cases
Business Automation
Use agents to automate market research, customer communication drafting, or workflow orchestration across teams.
Prototyping AI Applications
Test ideas for AI tools or services by quickly deploying agents that simulate desired behaviors.
Personal Productivity
Delegate time-consuming tasks like summarizing emails, managing calendars, or organizing project documentation.
Education and Experimentation
Teach students or professionals how autonomous systems work through real-time simulations and logs.
Research and Data Analysis
Build agents to gather, summarize, and synthesize data from public sources, enhancing research workflows.
Multi-Agent Systems
Develop and observe collaborative agent networks for use in game design, AI modeling, or simulations.
Pricing
As of June 2025, AgentRunner offers the following pricing structure:
Free Plan
Limited number of agents
Manual mode only
Access to basic logs
GPT-3.5 model access
Rate-limited execution
Pro Plan – $29/month
Unlimited agents
Autonomous mode enabled
Full action and memory logs
GPT-4 support
Priority access to new features
Enterprise Plan – Custom Pricing
Team collaboration features
API and third-party integrations
Custom deployment options
Dedicated support and onboarding
More details are available at agentrunner.com.
Strengths
No-code platform for building powerful AI agents
Works with GPT-4 and supports long-term memory
Real-time logs make testing and optimization transparent
Flexible control over agent autonomy
Ideal for individual users, startups, and researchers
Drawbacks
Still under active development — some features (like API access) are pending
Requires an OpenAI API key (costs depend on usage)
Limited customization in the free tier
Autonomous actions may need supervision for critical tasks
Comparison with Other Tools
AgentRunner vs. AutoGPT
AutoGPT requires technical setup and local installation. AgentRunner offers a no-code, cloud-based alternative for wider accessibility.
AgentRunner vs. LangChain
LangChain is a framework for developers. AgentRunner is made for non-technical users who want to build and manage AI agents easily.
AgentRunner vs. ChatGPT
ChatGPT is a conversational AI. AgentRunner builds autonomous agents that can take actions and evolve over time.
Customer Reviews and Testimonials
AgentRunner is gaining attention in the AI and no-code communities for its ease of use and creative potential.
“AgentRunner makes it possible for anyone to build and run AI agents without a tech background.”
“The autonomy and logging are game changers. You can actually see how your agent thinks step by step.”
“Perfect for prototyping agent-based tools. I use it to test AI workflows before development.”
Early users highlight its simplicity, rapid setup, and deep insight into agent behavior.
Conclusion
AgentRunner is an accessible and powerful platform that brings the capabilities of autonomous AI agents to a broader audience. With a no-code interface, GPT-based intelligence, and real-time transparency, it’s a valuable tool for professionals, creators, researchers, and educators looking to explore or deploy intelligent agents.
Whether you’re automating tasks, simulating behaviors, or simply experimenting with AI, AgentRunner provides a practical and efficient entry point into the world of autonomous systems.
Visit agentrunner.com to start building your first AI agent today — no coding required.
