Agent♥︎Age
Catalog

RecourseOS

Official

by recourseOS · TypeScript

Consequence evaluation for AI agents. Check recoverability before destructive actions.

io.github.recourseOS/recourse MCP Server

This MCP server provides a “consequence” evaluation layer for AI agents. It focuses on checking recoverability before destructive actions, aiming to support safer decision-making in agent workflows.

🛠️ Key Features

  • Consequence evaluation for AI agents
  • Recoverability checks prior to destructive actions

🚀 Use Cases

  • AI-agent guardrails that validate whether outcomes can be recovered
  • Pre-checks before performing destructive operations in automated systems

⚡ Developer Benefits

  • Clear integration point for recoverability assessment in agent action logic
  • Aligns with operational practices across AI safety, SRE, and infrastructure automation topics

⚠️ Limitations

  • Scope described as consequence evaluation and recoverability checks; no additional tools or capabilities are specified in the available data

Topics

ai-agentsai-safetyawsclouddevopsinfrastructure-as-codekubermcpmcp-serversite-reliability-engineeringsreterraform