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  3. AgentWatch
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AgentWatch

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Multi-agent observability: cascade failure detection, heartbeats, and forensic replay

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "agentwatch": {
      "command": "npx",
      "args": [
        "-y",
        "agentwatch"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Documentation Overview

agentwatch

Your agent swarm crashed at 2am. You have logs from 10 agents and no idea which one started the cascade. AgentWatch tells you.

It tracks heartbeats, links actions across agents, walks backward from any failure to the root cause, and replays the full sequence. Works with any agent framework (CrewAI, AutoGen, LangGraph, PocketFlow, custom). Stores everything in a local SQLite file.

Early stage. Issues and feedback welcome: https://github.com/nicofains1/agentwatch/issues


See it in action

No install needed:

Terminal
npx @nicofains1/agentwatch demo

This seeds a 5-agent fleet, triggers a cascade failure, and shows you the full trace:

Code
AgentWatch Fleet Dashboard
============================================================
Agents: 5 total | 3 healthy | 1 degraded | 1 error | 0 offline

Cascade Failure (4 steps, root cause: scheduler/dispatch-batch)
============================================================
[ROOT] scheduler/dispatch-batch [ok] 15ms
       {"assigned_to": "fetcher"}
       |
[  1 ] fetcher/call-api [error] 30000ms
       TIMEOUT after 30000ms
       |
[  2 ] processor/transform [error] 120ms
       Error: input is null - expected array from fetcher
       |
[FAIL] notifier/send-alert [error] 8ms
       Error: no processed data to report

Install

Terminal
npm install @nicofains1/agentwatch

Requires Node 18+. Uses better-sqlite3 (native bindings, no external database needed).


Quick start

server.ts
import { AgentWatch } from '@nicofains1/agentwatch';

const aw = new AgentWatch(); // creates agentwatch.db in the current directory

// Report heartbeats from your agents
aw.report('agent-a', 'healthy');
aw.report('agent-b', 'healthy');

// Trace an action in agent-a
const traceId = aw.createTraceId();
const e1 = aw.trace(traceId, 'agent-a', 'fetch-data',
  'url=https://api.example.com', 'rows=150');

// Trace a dependent action in agent-b that fails
const e2 = aw.trace(traceId, 'agent-b', 'process',
  JSON.stringify({ rows: 150 }), 'Error: out of memory', {
    parentEventId: e1.id,
    status: 'error',
    durationMs: 4200,
  });

// Walk back to the root cause
const chain = aw.correlate(e2.id);
console.log(chain?.root_cause);
// -> { agent: 'agent-a', action: 'fetch-data', ... }

// Print fleet status
console.log(aw.dashboardText());

What it does

Heartbeats - Each agent calls aw.report(name, status) on a schedule. AgentWatch tracks health over time and marks agents as stale or offline based on configurable thresholds.

Cross-agent tracing - Actions are linked by trace ID and optional parent event ID. When agent-c fails because agent-b sent bad data that came from agent-a, the full chain is queryable.

Cascade detection - correlate(failureEventId) walks backward from any failure to the root cause, returning the full chain with timing and output at each step.

Alert de-duplication - The same alert type from the same agent within a time window collapses into one entry with an incrementing count. Severity auto-escalates: info (1x) -> warning (3x) -> critical (10x).

Forensic replay - replay(traceId) returns all cascade chains within a trace. Useful for post-mortem analysis when a single trace touched multiple agents.

OpenTelemetry export - Export traces as OTEL spans (GenAI semantic conventions). Works with Jaeger, Grafana, or any OTEL-compatible backend. Requires optional peer deps.


CLI

Terminal
npx @nicofains1/agentwatch demo                   # run the demo
npx @nicofains1/agentwatch dashboard              # fleet health overview
npx @nicofains1/agentwatch cascade <event-id>     # trace cascade from a failure
npx @nicofains1/agentwatch failures [agent]       # list recent failures
npx @nicofains1/agentwatch alerts [agent]         # list active alerts
npx @nicofains1/agentwatch replay <trace-id>      # replay all cascades in a trace
npx @nicofains1/agentwatch mcp                    # start MCP server (stdio)

Set AGENTWATCH_DB to point to your database file. Default: agentwatch.db in the current directory.


MCP server

AgentWatch runs as an MCP server. Add it to your Claude Code or Cursor config:

Claude Code (~/.claude/claude_desktop_config.json or .claude/settings.json):

config.json
{
  "mcpServers": {
    "agentwatch": {
      "command": "npx",
      "args": ["@nicofains1/agentwatch", "mcp"],
      "env": {
        "AGENTWATCH_DB": "/absolute/path/to/agentwatch.db"
      }
    }
  }
}

Cursor (.cursor/mcp.json):

config.json
{
  "mcpServers": {
    "agentwatch": {
      "command": "npx",
      "args": ["@nicofains1/agentwatch", "mcp"],
      "env": {
        "AGENTWATCH_DB": "/absolute/path/to/agentwatch.db"
      }
    }
  }
}

This exposes 13 tools: agentwatch_dashboard, agentwatch_report_heartbeat, agentwatch_trace, agentwatch_cascade, agentwatch_replay, agentwatch_get_alerts, agentwatch_get_failures, agentwatch_get_trace, agentwatch_fleet_health, agentwatch_create_trace_id, agentwatch_alert, agentwatch_resolve_alert, agentwatch_dashboard_text.


API reference

Constructor

server.ts
const aw = new AgentWatch({
  db_path: 'agentwatch.db',        // SQLite file path
  alert_window_minutes: 30,         // de-dup window for alerts
  heartbeat_stale_minutes: 30,      // when to mark agents as offline
});

Heartbeats

typescript
aw.report(agent, status, context?)     // status: 'healthy' | 'degraded' | 'error' | 'offline'
aw.getLatestHeartbeat(agent)           // -> Heartbeat | undefined
aw.getFleetHealth()                    // -> AgentHealth[]

Tracing

typescript
aw.createTraceId()                                // -> string (UUID)
aw.trace(traceId, agent, action, input, output, {
  parentEventId?: number,
  status?: 'ok' | 'error',                        // default: 'ok'
  durationMs?: number,
})                                                // -> TraceEvent
aw.getTraceEvents(traceId)                        // -> TraceEvent[]
aw.getRecentFailures(agent?, limit?)              // -> TraceEvent[]

Cascade detection

typescript
aw.correlate(failureEventId)    // -> CascadeChain | null
aw.replay(traceId)              // -> CascadeChain[]

Alerts

typescript
aw.alert(agent, alertType, message)
aw.resolveAlert(alertId)
aw.activeAlerts(agent?)         // -> Alert[]

Dashboard

typescript
aw.dashboard()      // -> DashboardOutput (structured)
aw.dashboardText()  // -> string (formatted for terminal)

OpenTelemetry export

Requires optional peer deps @opentelemetry/api and @opentelemetry/sdk-trace-base.

typescript
await aw.exportTraceToOtel(traceId, { serviceName: 'my-agents' });
await aw.exportRecentToOtel(1); // last 1 hour

Storage

SQLite via better-sqlite3. The database file is created automatically on first use. WAL mode is on for concurrent reads.

Tables: heartbeats, trace_events, alerts.


License

MIT

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about AgentWatch

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "agentwatch": { "command": "npx", "args": ["-y", "AgentWatch"] } }

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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