Create governed agents from the clients teams already use, including Slack, Claude, Cursor, ChatGPT, Codex, and the web. Agents start working in seconds with approved tools, scoped identity, and a secured runtime.
Say what you need and an agent handles it, without ever leaving your workspace. Agents get automatic access to the tools and systems you’re allowed to use, so there’s no wait and no risk.
If a human can’t do it, neither should an agent
Each agent is provisioned with the connectors, tools, and skills assigned to the employee who launches it, then runs with OAuth scopes, policy controls, and runtime security checks applied to every action.
A sight to behold,
and govern
See which agents people create, where they run, what they cost, where they fail, and what activity, policy decisions, security findings, and audit history each run leaves behind.
Agents that improve
with every run
Runlayer automatically turns traces and execution history into improvements in the prompt, triggers, & model selection for the next run.
Frequently asked questions
They give employees a direct way to delegate recurring work: create an agent for a job, use the tools they are allowed to use, and run it from the places they already work.
Employees can create agents on demand from supported clients, including Slack, Claude, Cursor, ChatGPT, Codex, and the web. They define the job, then attach approved connectors, tools, skills, model settings, memory, and run options.
Runlayer Agents run through the Runlayer Agents runtime for your deployment. Depending on setup, that can be Runlayer-managed, single-tenant, or customer-hosted infrastructure.
Runlayer Agents can be used from Slack when configured. They can also run interactively, on schedules, from webhooks, and through supported AI clients.
Agents are built on Runlayer’s identity primitives. Activity can include the agent identity and the user it acts on behalf of, with policy and OAuth scope still enforced.
Agents are private by default unless shared with approved users or groups. Owners and admins control access and lifecycle.
Agents can use approved Runlayer connectors, including internal MCPs and custom capabilities that platform teams publish through the governed catalog.
Agent activity includes run history, MCP activity, status, execution trace, security scan results, blocked requests, warnings, token and cost usage, and audit events.
Each agent has an owner. Owners and admins manage core settings, access, and the agent lifecycle, from creation and deployment through upgrades and deprecation, along with activity and security history.
