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Introduction

Proxima Console

AI-powered infrastructure operations — inventory, monitoring, compliance, terminal access, and AI-assisted ops, all from one console.


Get Started

1. Install the Agent

Deploy the lightweight Go agent on your servers. It auto-discovers inventory, collects metrics, and connects via NATS.

Agent Installation →

2. Connect & Monitor

View hosts in the dashboard with live CPU, memory, and disk metrics. Set up healthchecks and compliance rules.

Monitoring →

3. Operate with AI

Use the CLI (pc ssh), run runbooks, and ask Claude about your infrastructure via AI Chat or MCP.

Terminal CLI → · AI Chat →


Platform Features

Inventory & Discovery

Monitoring & Compliance

Terminal Access & CLI

AI & Automation

  • AI Chat — Claude-powered with 20+ infrastructure tools
  • MCP Server — for Claude Desktop, Cursor, VS Code
  • Runbooks — YAML DSL with 10 typed actions
  • Service Desk — Jira ITSM integration

Security & Access

Observability


Architecture

Managed Hosts              Proxima Platform                    Clients
┌──────────┐ ┌─────────────────────┐ ┌──────────────┐
│ Agent │──NATS──▶ │ Backend (Go API) │ ◀─REST── │ Frontend │
│ (Go) │ │ PostgreSQL │ │ (React/TS) │
│ │ │ VictoriaMetrics │ │ │
└──────────┘ │ NATS + JetStream │ └──────────────┘
│ Vault · Valkey │ ┌──────────────┐
┌──────────┐ │ │ ◀─gRPC── │ pc CLI │
│ Agent │──NATS──▶ │ Tempo · VLogs │ │ (Go) │
│ (K8s) │ └─────────────────────┘ └──────────────┘
└──────────┘ ▲ ┌──────────────┐
│ REST │ MCP Server │
└───────────────────────│ (Go) │
└──────────────┘
  • Agent — lightweight Go binary on every managed server. Collects inventory, metrics, runs healthchecks.
  • Backend — REST API with chi router, RBAC, workers for metric/log processing.
  • Frontend — React SPA with Tailwind + shadcn/ui.
  • pc CLI — native terminal access via gRPC, host listing, file transfer, port forwarding.
  • MCP Server — exposes infrastructure data as tools for LLM integration.

Architecture deep dive → · Data flow →


What's New in v0.6.x

  • L1 incident agent — escalation engine, on-call schedules, deterministic triage context packs, AI-assisted RCA, a human-in-the-loop memory loop, and a Telegram ops bot
  • Agent fleet management — version-skew visibility and canary/batched self-update rollouts with pause/resume/abort and automatic pause-on-failure
  • MCP expansion — action tools, structured output, browseable resources, and invokable prompts (triage/diagnose/compliance/fleet workflows)
  • Agent distributed tracing & self-log shipping — OTel spans and WARN+ logs routed over NATS to the backend (UI-controlled)
  • Observability alerting — Grafana Alerting fires high-signal rules routed to Telegram
  • Daily briefing home page — a prioritized "Needs attention" view on the console root
  • Per-client feature flags — gate features per client with launch defaults and an admin toggle UI

Full changelog → · Product roadmap →


I want to...Go here
Install the agent on a serverAgent Installation
Install the pc CLI toolCLI Reference
Set up monitoringMonitoring Overview
Connect a K8s clusterCluster Agent
Configure RBAC rolesRoles & Permissions
Use AI ChatAI Chat Overview
Set up MCP for Claude DesktopMCP Setup
Create a runbookCreating Runbooks
Troubleshoot issuesTroubleshooting Guide
View the APIAPI Endpoints