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Tommy-ywAI agent for evidence-driven incident response and automated remediation
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Summary
RunbookHermes addresses complex AIOps incident response by providing an evidence-driven, approval-gated remediation, and runbook learning system. Built as a Hermes-native extension, it empowers engineers and operators to automate and learn from incident resolution, enhancing system reliability.
How It Works
This project adapts the official Hermes Agent runtime into a specialized AIOps incident-response system. It leverages Hermes' core strengths—runtime loop, tool system, memory, and safety boundaries—and extends them with an evidence-centric context engine (EvidenceStack) and domain-specific memory (IncidentMemory). The approach prioritizes reliable evidence collection from observability sources, context compression for AI reasoning, and robust safety gates for remediation actions, culminating in the generation of reusable runbook skills.
Quick Start & Requirements
set PYTHONPATH=. && python -m uvicorn apps.runbook_api.app.main:app --host 127.0.0.1 --port 8000cd demo/payment_system && docker compose up --buildhttp://127.0.0.1:8000/web/index.html), API Docs (http://127.0.0.1:8000/docs), Roadmap (ROADMAP.md).Highlighted Details
Maintenance & Community
The project builds upon Hermes Agent by Nous Research. Specific community channels (Discord/Slack) or active maintainer details are not provided in the README. A roadmap is referenced via ROADMAP.md.
Licensing & Compatibility
The repository preserves the upstream Hermes Agent license. RunbookHermes additions follow the same license. Specific compatibility for commercial use or closed-source linking is not detailed beyond the license itself.
Limitations & Caveats
The project requires significant manual integration for production readiness, including replacing local JSON stores with robust databases, connecting real model providers and execution systems, and implementing production deployment manifests. While functional, it necessitates further hardening and configuration for enterprise deployment.
1 week ago
Inactive