ARGOS

Autonomous Resilience & Governance for Operational Systems.
Closed-loop operational remediation with future AI-assisted decision support.

Autonomous Operations AIOps Detect → Decide → Act → Verify
Explore ARGOS View Repository 
        ARGOS
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 Event / Alert
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   Detector
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  Context Engine
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 Decision Engine
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  Action Engine
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 Verification
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     Audit

What is ARGOS?

ARGOS is an autonomous operations framework designed to detect anomalies, recommend or execute corrective actions, and verify operational recovery. It is built as part of the AEGIS ecosystem for resilient, policy-aware infrastructure, evolving from rule-based remediation toward AI-assisted operational decision support.

Problem

  • Operational procedures are often manual, inconsistent and poorly documented.
  • Alerts exist, but remediation remains reactive and dependent on human intervention.
  • Logs, metrics and traces are rarely correlated into a single operational decision flow.

ARGOS Approach

  • Closed-loop remediation based on operational context.
  • Rule-driven decision engine evolving toward AI-assisted operational recommendations.
  • Support for advisory, human-in-the-loop and autonomous execution modes.
  • Auditability and future integration with observability and ITSM platforms.

Architecture Overview

ARGOS implements a layered operational model where events are normalized, correlated, acted upon and verified through a controlled remediation loop.

AUTONOMOUS OPERATIONS MODEL

ARGOS Autonomous Operations Architecture

Figure 1 — ARGOS Autonomous Operations Model

Event Sources Detection Decision Action Verification Audit

Core Capabilities

Autonomous Detection

ARGOS ingests operational signals from alerts, logs and future telemetry sources to identify incidents and trigger remediation workflows.

Automated Remediation

Rule-based decisions translate into executable actions such as service restart, interface reset, verification checks and later runbook automation.

Verification & Audit

Every action is validated and recorded to provide traceability, operational evidence and a foundation for future ITSM integrations.

AI-Assisted Decision Support

ARGOS will evolve from static rule-based remediation toward contextual operational guidance, helping operators understand incidents, recommend corrective actions and, under controlled policies, enable safer autonomous execution.

Roadmap

ARGOS evolves incrementally from a minimal remediation loop toward event-driven, trace-aware autonomous operations.

v0.1 — Core remediation loop

Detect → Decide → Act → Verify. Local or simulated events, scripted actions and basic audit logging.

v0.2 — Observability integration

Prometheus / Alertmanager integration and initial operational signal ingestion.

v0.3 — Event correlation and richer operational context

ARGOS will evolve to ingest and correlate events from multiple sources, including Prometheus/Alertmanager, Loki and Kafka.

v0.4 — Distributed tracing and richer causal context

Tempo integration to identify where failures occur in service flows and improve remediation decisions through trace-aware context.

v0.5 — Runbook automation

Executable runbooks defining operational procedures as code, including verification and escalation workflows.

v0.6 — AI-assisted operational decision support

ARGOS will incorporate contextual reasoning to recommend remediation actions, explain likely causes and support advisory, human-in-the-loop and policy-driven autonomous execution modes.

Executive Overview

ARGOS is an autonomous operations framework designed to detect incidents, reason about corrective actions, execute remediation procedures and verify service recovery in hybrid infrastructure environments.

The platform introduces a closed-loop operational model evolving from rule-based remediation toward AI-assisted operational decision support. ARGOS integrates observability signals, automated remediation workflows and verifiable operational procedures to improve infrastructure resilience.

As part of the AEGIS ecosystem, ARGOS complements identity governance and architecture automation capabilities to form a comprehensive framework for resilient and autonomous infrastructure platforms.

AEGIS Ecosystem

ARGOS is part of a broader architecture ecosystem focused on design, governance and autonomous operations.

DAEDALUS

Infrastructure Architecture Automation and LLD generation.

AEGIS

Identity Control Plane for hybrid and multi-cloud governance.

ARGOS

Autonomous Operations and closed-loop remediation.

Repository

Source Code

ARGOS repository: github.com/bcollantes/ARGOS-autonomous-ops

Experimental project focused on autonomous remediation, operational context and future ecosystem integration.