Runlayer is a paid tool. Please visit their website for pricing details.

Runlayer

Enterprise controls for deploying governed AI agents across the tools employees already use.

paid

Last Updated 8/28/2026

About Runlayer

Runlayer is an enterprise platform for rolling out AI agents without splitting adoption from security and control. Employees can delegate recurring work from Slack, Claude, Cursor, ChatGPT, Codex, or the web, using approved MCPs, skills, plugins, and agents. Identity, OAuth scopes, policy decisions, budgets, and runtime checks remain in force when an agent accesses company systems. Platform teams can review activity, tool use, costs, failures, security findings, and audit history in one place. Depending on the deployment, agents can use a Runlayer-managed, single-tenant, or customer-hosted runtime. Pricing follows a sales-led process: buyers are directed to book a demo, and public plan prices are not listed.

Best for

Enterprises rolling out AI agents across employee teams

AI platform teams publishing approved tools and reusable capabilities

Security teams governing agent identity, access, and runtime actions

Best use cases

Create governed agents from supported workplace and AI clients

Distribute approved MCPs, skills, and plugins across teams

Review adoption, spend, failures, findings, and audit history

Compare before choosing

Choose Runlayer when governance must follow agents across multiple clients

Compare deployment options if runtime isolation or customer hosting is required

Confirm commercial terms with sales because public prices are not listed

Features

Govern employee-built agents

Let employees create agents in familiar clients while approved tools, scoped permissions, policy checks, and run history remain attached.

Publish reusable AI capabilities

Package internal MCPs, skills, plugins, and workflows into a governed catalog that teams can reuse across supported AI clients.

Monitor adoption and spend

Track agent activity, tool usage, costs, failures, findings, and audit history so platform teams can decide what to expand or retire.

Pros

Works across Slack, Claude, Cursor, ChatGPT, Codex, and the web, reducing the need to move employees into a separate agent interface.
Keeps identity, OAuth scope, policy, budget, and runtime checks attached to agent actions, which supports controlled access to company systems.
Combines activity, cost, failure, security finding, and audit views, giving platform teams practical evidence for rollout decisions.

Cons

Public plan prices are not listed, so buyers must contact sales before they can estimate procurement cost.
Enterprise setup requires teams to curate approved connectors, permissions, policies, and capabilities before broad employee rollout.
Client support and runtime behavior depend on deployment configuration, so Slack, schedules, webhooks, or customer hosting may require implementation work.

Pricing Plans

Enterprise

Contact sales

Governed MCP gateway and approved tool access
Agent identity, policy controls, and runtime security checks
Agent activity, cost, findings, and audit visibility

* Pricing information is for reference only. Please refer to the latest announcement on Runlayer's official website.

FAQ

Runlayer is an enterprise platform for enabling employees to use AI agents while platform and security teams govern identities, tool access, runtime actions, costs, and audit history.

Employees can create agents from Slack, Claude, Cursor, ChatGPT, Codex, and the web. Agents can run interactively, on schedules, or from webhooks when the deployment is configured for those paths.

Agents receive approved connectors, tools, and skills tied to scoped identity. OAuth scopes, policy controls, and runtime security checks continue to apply to agent actions.