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ClawSight – Lightweight monitoring and kill switches for AI agents

ClawSight – Lightweight monitoring and kill switches for AI agents

by upsidepotential·Mar 1, 2026·1 point·0 comments
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AI Analysis

●●SolidSolve My ProblemShip It

One-line setup, real problem: $100 bill with zero visibility into what a Telegram agent was doing.

Strengths
  • •Motivated by genuine pain point — uncontrolled agent spending is a known failure mode in production deployments
  • •Simple integration (one-line code, npm install) with tangible features: live logs, cost limits, remote kill switch
  • •Open-source + self-hosted option removes vendor lock-in for cost-conscious teams
Weaknesses
  • •Landscape crowded with agent monitoring tools (LangSmith, AgentOps, LlamaIndex Observability); unclear differentiation beyond simplicity
  • •Kill switch via process.exit(1) is crude — doesn't guarantee graceful shutdown or cleanup of resources in real-world agents
Target Audience

Developers running autonomous agents in production; teams concerned about runaway API costs or agent failures

Similar To

LangSmith · AgentOps · Weights & Biases Traces

Post Description

I built this after my Telegram agent ran up a $100 Claude bill with no way to see its progress.

ClawSight is a lightweight monitoring layer for autonomous agents. You npm install, add one line of code, and get a dashboard with live log streaming, cost/token tracking, and a remote kill switch.

Stack: Node SDK that streams events to a hosted (or self-hosted) dashboard. The kill signal triggers process.exit on the agent.

Open source: https://github.com/ClawSight/platform

Looking for feedback, especially from anyone running agents in production. Is this useful? What would you want to see?

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