HaxiTAG Agus Logo

HaxiTAG Agus

Layered Agent Operations System

It truly acts as an autonomous Agent in low-risk environments; seamlessly switches to a Copilot + Governor role in high-risk scenarios

Making complex system operations no longer dangerous
It autonomously takes action within safe boundaries and guides decision-making while safeguarding execution at critical junctures

HaxiTAG Agus Logo

HaxiTAG Agus

HaxiTAG Agus is a Layered Agent Operations System. It integrates automated execution, AI-driven insights, and an audit & governance engine — enabling operations teams to both "act automatically" and "act with justification, safety, and controllability."

Layered Agent DevOps SRE Automated Operations AI Agent Governance & Audit

Product Positioning

Modern enterprise system architectures are highly complex — spanning microservice deployments, network configurations, certificate lifecycles, database migrations, and more. Every change carries significant risk:

Automation Scripts

Fast but lack governance

🤖

Traditional Agents

Rigid and prone to errors

👤

Manual Operations

Reliable but costly

HaxiTAG Agus Solution

Within low-risk / reversible / auditable boundaries, Agus can proactively act as an Agent;
In high-risk / irreversible boundaries, Agus serves as a Copilot + Governor collaborator — delivering analysis, decision support, and awaiting human approval.

Why a Layered Agent Architecture?

We believe: Operations is neither a problem "entirely decided by machines" nor one "handled solely by humans." It is an engineering discipline of trustworthy human-machine collaboration.

Agent (Autonomous Proxy)

Within boundaries that involve no destruction or external side effects, it automatically collects, monitors, analyzes, and executes reversible operations.

Copilot + Governor (Collaborative Governance)

In high-risk or irreversible contexts, it automatically analyzes changes and risks, generates recommendations and plans, and waits for human approval before execution.

This design ensures:

  • Stability and security
  • Controllability and complete audit trails
  • Engineering-grade explainability

Core Value Propositions

🚀

Autonomous Action (Automation Agent)

Within low-risk boundaries, Agus can automatically handle:

  • Container resource, process, and port monitoring
  • Automatic log and metric collection
  • Container health probing and restart decisions
  • Orchestrating LLMs for log / incident analysis
  • Automatically generating action suggestions and remediation plans
📋

Intelligent Planning & Risk Insight (Copilot)

For critical operations involving production systems:

  • Code repository scanning and service dependency mapping
  • Generating Deployment Plans (steps, dependencies, execution order)
  • Automatically analyzing database schema change risks
  • Producing high-quality change explanations and potential impact assessments (AI-assisted, never auto-executed)
🛡

Approval & Governance (Governor)

Agus is designed from the ground up to support:

  • End-to-end approval workflows
  • Audit logs for every operation
  • Fail-safe execution state machines
  • Step-by-step rollback and reversible paths
  • Multi-environment rules (dev / staging / prod)

It never bypasses human control — it waits for approval at the appropriate moments.

Typical Intelligent Agent Behaviors in Agus

Scenario Description Automation Level
Container health collection & restart suggestion Automatically collects, analyzes, and suggests ✔️ Fully Automatic
LLM-based root cause analysis from logs Automatically performs analysis and suggests remediation ✔️ Fully Automatic
Nginx configuration generation & validation Automatically renders and syntax-checks ⚠️ Requires Approval
Compose deployment Generates plan and applies ⚠️ Requires Approval/Confirmation
Database migration Automatically diffs + explains risks ❌ Never Automatic Execution

Architecture & Execution Paradigm

Agus can be abstracted into three core subsystems:

🧭

1. Perception & Collection

  • • Multi-host (Host) scanning
  • • Container / service status detection
  • • Read-only database schema collection
  • • Metrics and log pipeline ingestion
📊

2. Understanding & Planning

  • • Repository DAG construction
  • • Deployment Plan generation and visualization
  • • Diff / risk-tiered analysis
  • • AI-assisted semantic explanations
⚙️

3. Execution & Governance

  • • FSM-based execution engine
  • • Approval gates
  • • Rollback and failure blocking
  • • Execution records / event auditing

Unique Advantages

Safety & Controllability

Every high-risk action is preceded by an explicit approval checkpoint.

📝

Full Auditability

Every execution path is fully logged, supporting replay and accountability.

💡

Explainability

AI no longer "secretly generates actions" — it serves as an explanation layer for humans.

🔧

Extensibility

Seamless transition from single-host automation to multi-host / multi-environment platforms.

📚

Knowledge Accumulation

Every execution, diff, and rollback accrues as organizational operations knowledge.

Target Users

👩‍💻

SRE / DevOps Teams

Seeking to boost operations efficiency without sacrificing controllability.

🏢

Enterprise Platform Engineering Teams

Requiring governance, audit trails, and cross-environment execution strategies.

📈

CTOs / VPs of Engineering

Concerned with: Change failure rates, Blast radius of incidents, Cost of controlled automation

Product Roadmap & Future Vision

Agus currently delivers:

  • Complete automation capability chain
  • Robust audit and governance mechanisms
  • Low-risk autonomous agent behaviors
  • High-risk planning and approval controls
  • CLI + GUI collaboration

Agus-CLI Collaboration

Agus-CLI collaborates with Agus agents to achieve LLM- and Agent-based automation and intelligence in OPS and SRE workflows — dramatically reducing tedious data processing, window-switching, and tool-hopping in deployment, operations, monitoring, and data analysis. This empowers every engineer to model and analyze business & technical data with AI assistance, building data-insight-driven SRE practices.

It also integrates LLM decision support and Copilot-assisted analysis into OPS/Dev toolchains — enabling safer, more reliable, and stable deployment and operation of cloud nodes and servers.

Looking ahead, Agus will continue to evolve toward:

  • Multi-tenant SaaS platformization
  • Ongoing optimization of CLI + GUI framework synergy, with open-sourcing of agus-cli
  • Fine-grained role-based access control
  • Multi-source metric aggregation and intelligent alerting
  • Richer policy engines and learning-based operations memory systems

One-Sentence Summary

Agus is a "trustworthy layered agent operations system" — building an engineering-grade bridge between automation and controllability. It is your autonomous assistant (Agent), your risk gatekeeper (Governor), and your decision-making collaborator (Copilot).

🤖

Your Autonomous Assistant

Agent

🛡️

Your Risk Gatekeeper

Governor

👥

Your Decision-Making Collaborator

Copilot

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Making complex system operations no longer dangerous

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