Your agents need secrets. Not memory.
Give AI agents access to credentials with TTL and read limits. The secret lives just long enough — then it's gone.
See it in action
How it works
Agent requests a secret
Via MCP tool call, n8n node, or REST API. The agent asks for a credential by key name.
Sirr delivers with constraints
The secret is returned with its TTL and read limit intact. The agent uses it for the task at hand.
Secret burns after use
Read limit hit? TTL expired? The secret is gone forever. No cleanup, no leaked credentials.
Plug into your agent stack
Claude / MCP
Native Model Context Protocol server. Let Claude push, read, and manage ephemeral secrets directly.
n8n
Community node for n8n workflow automation. Store and retrieve secrets in any automated pipeline.
OpenClaw
Workspace skill for OpenClaw AI assistant. Manage secrets through natural language.
Why ephemeral secrets for agents?
AI agents shouldn't hoard credentials. TTL + read limits = principle of least privilege for machines. No stale secrets in agent memory. No leaked tokens in conversation history.