AI Agent Observability
See what every agent is doing. Catch errors before they cost you. Two lines of code to connect.
Most teams don't realize there's a problem until the bill arrives.
Unmonitored agents run up massive costs overnight. Silent retries. Runaway loops. No ceiling.
Agents return 'success' with wrong answers. No exceptions, no alerts. Just confidently wrong output.
5 agents running, 3 frameworks, no single place to see what's happening. You're checking each one manually.

Getting started takes less than a minute.
One command to add Tethr to your project.
npm install tethrInitialize and ping. Thatβs it.
"text-purple-400">const agent = tethr.init({ apiKey: 'key', name: 'My Agent' })
"text-purple-400">await agent.ping({ status: 'running', message: 'Working...' })Every agent, every status, every error β live in your dashboard. Get alerts, pause agents, review timelines.
Built for teams running AI agents in production.
See every agent across every hub in a real-time 3D visualization. Live updates, no polling.
Agents run multiple skills. Each skill tracks its own KPIs, success rate, cost, and schedule.
Auto-calculated cost per job from token usage. See spend per skill, agent, and hub.
Control any agent from your dashboard. Agents check in and respond in real time.
Two-way chat with your agents. Approval requests, status updates, and human-in-the-loop.
Works with CrewAI, LangChain, AutoGen, OpenAI Agents, Claude SDK, or custom code.
Manage and message your agents from your phone. Get real-time alerts, approve requests, and stay tethered to your AI workforce β wherever you are.
Works with any framework
Simple, typed SDK. Works everywhere Node runs.
"text-purple-400">import { TethrAgent } "text-purple-400">from 'tethr-sdk'
"text-purple-400">const agent = new TethrAgent({
apiKey: 'YOUR_KEY',
name: 'Research Agent'
})
// Your agent does its work...
"text-purple-400">await agent.ping({
skill: 'competitor-analysis',
status: 'running',
step: 2,
total: 5,
message: 'Scraping competitor data...',
model: 'claude-sonnet-4-6',
tokens_input: 1250,
tokens_output: 430,
})
// Check "text-purple-400">if paused "text-purple-400">from dashboard
"text-purple-400">const ctrl = "text-purple-400">await agent.control()
"text-purple-400">if (ctrl.is_paused) "text-purple-400">returnof production agent teams need observability
AI agent market in 2025, growing 40% annually
of code to connect any agent
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