Agentic

Territory Grounder is an autonomous SRE agent that commits a prediction before it acts, then lets separate code decide whether reality agreed. The model that proposes a remediation never scores its own outcome, and no mutation runs on a belief the system has not independently checked. Territory Grounder is an open-source, self-hosted SRE platform: an LLM agent ingests alerts, chat messages, and tickets, triages incidents across Kubernetes, hypervisors, network, and storage, and (from Phase 2 on) executes remediations inside a mechanical governance envelope. It is the ground-up rewrite of Agentic ChatOps as a distributable product: Go and Temporal instead of Python, n8n, and cron. Same control logic, none of the code. ...

Agentic ChatOps triages infrastructure alerts and predicts the consequences of each proposed fix before it acts — auto-resolving only the remediations a causal world-model can prove safe, behind a fail-closed, machine-verified prediction gate. Agentic ChatOps is a production system run by one person across 300+ infrastructure objects and five sites. Three AI subsystems triage alerts, investigate root causes, and propose fixes; a human approves every change. Two parts make it genuinely novel. First, a causal world-model of the infrastructure — a dependency graph that predicts the consequences of a proposed action before it can be approved, then verifies the outcome against that prediction in code. No remediation reaches a human’s approval without a machine-computed prediction attached, and the operator stays ring 0. Second, the whole agentic federation now runs under a self-governing control plane: a self-monitoring layer that inventories every moving part as a component with declared liveness and pages me the moment one goes dark, plus a Kubernetes-style self-healing controller that keeps the platform alive — reactivating dropped workflows, re-running failed jobs, restarting the scheduler — while never touching the mission decisions that stay behind the human gate. ...