Agus — Layered Agent Operations Intelligence Hub

HaxiTAG Agus is a Layered Agent System — it truly acts as an autonomous Agent in low-risk environments; in high-risk scenarios, it seamlessly switches to a Copilot + Governor role.

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

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

• Automation scripts are fast but lack governance
• Traditional agents are rigid and prone to errors
• Manual operations are reliable but costly

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.”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.

Agus therefore defines its action capabilities with precision:

• 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

— rather than merely “appearing smart through automation.”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

These actions are proactively triggered by the system based on policies — no human intervention required. 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)

These capabilities enable teams to “truly understand changes” before execution. 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
LLM-based root cause analysis from logs	Automatically performs analysis and suggests remediation
Nginx configuration generation & validation	Automatically renders and syntax-checks	(execution requires approval)
Compose deployment	Generates plan and applies	(execution requires approval/confirmation)
Database migration	Automatically diffs + explains risks	(never automatic execution)

Architecture & Execution ParadigmAgus 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 & ControllabilityEvery high-risk action is preceded by an explicit approval checkpoint. Full AuditabilityEvery execution path is fully logged, supporting replay and accountability. ExplainabilityAI no longer “secretly generates actions” — it serves as an explanation layer for humans. ExtensibilitySeamless transition from single-host automation to multi-host / multi-environment platforms. Knowledge AccumulationEvery execution, diff, and rollback accrues as organizational operations knowledge.Target Users SRE / DevOps TeamsSeeking to boost operations efficiency without sacrificing controllability. Enterprise Platform Engineering TeamsRequiring governance, audit trails, and cross-environment execution strategies. CTOs / VPs of EngineeringConcerned with:

• Change failure rates
• Blast radius of incidents
• Cost of controlled automation

Product Roadmap & Future VisionAgus 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 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).

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