No-code agent setup
Describe the job, connect the tools, and launch an agent without setting up command lines or a custom server. The site positions the product as a no-code way to get an agent running quickly.
Rerun
Rerun is a no-code AI agent platform for business tasks, with approvals, live dashboard monitoring, and flexible model support.
Overview
Rerun is a platform for building and running AI agents that take over defined tasks and show their work as they go. The homepage frames it as a way to create an agent in minutes by describing the task, connecting tools, and then watching execution on a dashboard that people can understand.
The product combines no-code setup, event-driven execution, human approvals, and live monitoring. It is aimed at people and teams who want agents that run continuously, hand work back when needed, and keep the results visible instead of buried in logs or terminal output.
Features
Event-driven execution
Agents can wake themselves up when an email arrives, when something changes, or on a schedule such as every morning. This is meant to remove the need for a manual run button.
Human approvals and handoffs
When a task needs review, the agent stops and hands the decision back to a person. Approvals can happen in the app or in Slack, and the agent resumes from the same point afterward.
Live monitoring dashboard
The dashboard shows runs, tokens, handoffs, logs, agent status, and success rate in real time. That makes the work observable instead of hidden in a terminal or background process.
Model flexibility
Rerun supports a range of model options, including Claude, ChatGPT, Gemini, Grok, DeepSeek, Llama, Mistral, Qwen, Groq, OpenRouter, Hugging Face, and Ollama. The site also says you can use Rerun-hosted models or bring your own subscription, API key, or local LLM.
Private workspace infrastructure
Each workspace gets a dedicated private server in the cloud, with isolated CPU and memory. The site also says self-hosted mode is available on the Scale plan and keeps agent content on your own infrastructure.
Use cases
Recurring admin work
Set up agents that handle recurring admin tasks, then let them wake up automatically when a message arrives or a scheduled time hits. The site specifically mentions inbox triage and morning task execution.
Lead handling and sales follow-up
Assign agents to process leads, draft replies, and hand sensitive messages back to a human for approval before sending. The homepage and blog both point to sales and lead qualification workflows.
Operational monitoring
Use the dashboard to inspect live runs, token usage, logs, and success rates when an agent needs oversight or debugging. This is useful for teams that want visibility instead of opaque automation.
Sensitive approvals
Route tasks that require review, such as refunds or client-facing emails, through an approval step in the app or Slack. The agent pauses at the decision point and resumes after approval or decline.
Cross-functional business workflows
Run agents for functions like invoices, reporting, client updates, order processing, and support triage. The homepage positions these as examples for finance, agencies, e-commerce, and support teams.
Pros and Cons
Pros
- Fast setup is emphasized, with the site saying a first agent can be live in about five minutes.
- The product is designed to keep agents observable through a dashboard with runs, logs, token usage, and handoffs.
- Approvals let teams pause sensitive actions and resume from the same point after review.
- The platform supports multiple model providers and lets users bring their own subscription, API key, or local model.
- Each workspace uses a dedicated private server, and self-hosted mode is described in the privacy policy and pricing copy.
Cons
- The pricing page returned a 404 in the collected sources, so some plan details could not be verified from that page.
- Supported third-party integrations are not listed in the collected material beyond general tool connection language.
- The source does not provide a complete feature matrix, so some workflow details remain unconfirmed.
FAQ
Do I need code to build an agent with Rerun?
Rerun is set up from the product interface rather than with code-first infrastructure. The site says you can describe the task, connect your tools, and launch an agent in minutes.
How do Rerun agents run?
The homepage says agents can wake up on their own, respond to events such as new email or changed conditions, and hand work to each other. It also says you can set approvals so the agent pauses for sensitive actions and resumes after approval.
How do I monitor what an agent is doing?
The product highlights a live dashboard that shows runs, tokens, handoffs, logs, agent status, and success rate so you can see what each agent is doing in real time.
Can teams use Rerun together?
Yes. The site says you can invite your team, and the pricing section includes a Team plan for teams putting a few agents to work together.
Can I use my own model or API key?
The pricing section says Rerun offers hosted models included in the plan, and you can also connect your own subscription, API key, or local model. The site also says there are no usage caps from Rerun.
Quick Facts
- Category
- AI agent platform
- Primary use
- Build, run, and monitor agents for business tasks
- Platform
- Web app
- Model support
- Hosted models plus user-connected API keys or local LLMs
- Deployment
- Cloud workspace with self-hosted mode mentioned on the site
- Source domain
- rerun.build
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