knostic

knostic / openclaw-telemetry

Public

Telemetry for OpenClaw - Captures tool calls, LLM usage, agent lifecycle, and message events. Outputs to JSONL file and optionally to syslog for SIEM integration.

www.knostic.ai clawdbot moltbot observability openclaw siem
63
7
100% credibility
Found Feb 03, 2026 at 18 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This is a plugin for the OpenClaw AI agent framework that logs tool calls, messages, LLM usage, and agent sessions to files or syslog, featuring automatic sensitive data redaction, tamper-proof integrity chains, rate limiting, and log rotation.

How It Works

1
🔍 Discover monitoring for AI agents

You hear about a helpful add-on that lets you track everything your AI assistants do, like tool uses and conversations, safely.

2
📥 Add the tracking helper

You simply copy or install this monitoring tool into your AI setup folder.

3
⚙️ Turn it on in settings

In the easy settings menu, you enable tracking and pick options like hiding secrets or sending alerts elsewhere.

4
🌟 Watch your agents in action

Restart your AI hub, run some tasks, and instantly see detailed records of every step your agents take.

5
📊 Review and verify logs

Check the organized log files to review activities, costs, and successes, with built-in checks to ensure nothing's tampered with.

✅ Gain full visibility securely

Now you always know exactly what your AI agents are doing, with privacy protected and endless growth handled automatically.

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AI-Generated Review

What is openclaw-telemetry?

OpenClaw Telemetry is a TypeScript plugin that captures detailed observability data for OpenClaw agents, including tool calls, LLM usage, agent lifecycle events, and message exchanges. It logs everything to a JSONL file by default, with optional syslog forwarding for SIEM integration, helping devs track agent behavior without custom instrumentation. Drop it in via `openclaw plugins install` and configure through JSON or the UI for instant visibility into your AI workflows.

Why is it gaining traction?

It stands out with built-in redaction for sensitive data like API keys, tamper-proof hash chains for event integrity, rate limiting to curb floods, and automatic log rotation—features rare in basic github telemetry tools. Syslog outputs in CEF or JSON make SIEM integration seamless, while jq-friendly JSONL files enable quick queries for LLM costs or failed tool calls. Devs love the zero-config basics that scale to enterprise needs without overhead.

Who should use this?

OpenClaw users building production agents, especially teams monitoring LLM token spend, tool failures, or agent lifecycles in chat apps like Telegram. Ops engineers integrating with Splunk or Elastic for github telemetry data overlays, or AI devs debugging erratic agent calls and messages. Ideal for anyone needing agent telemetry viewer capabilities without writing loggers.

Verdict

Solid pick for OpenClaw shops wanting plug-and-play observability—docs are thorough, config flexible, and features production-ready despite 36 stars and 1.0% credibility score signaling early maturity. Try it if you're running agents; skip if not on OpenClaw.

(198 words)

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