⟨Blog
Guides, tutorials, and notes from the ClawMetry team.
How we’re rewriting our solution section for buyers: behind the scenes
A VP Engineering asked which feature in our “What you get” grid maps to chargeback. She couldn’t find it. Here’s the five-point CXO gap audit of the solution section: the wrong header copy, the buried data residency moat, the OTel card at position eight, and exactly what the rewrite will say.
When Your Agent Pipeline Goes Dark: Three Multi-Agent Coordination Failures ClawMetry Surfaces
Multi-agent pipelines fail differently from single agents: the orphaned sub-agent that stalls its whole parent tree, the schema that drifted between agent versions turning tool calls into null, the context compaction that made an orchestrator forget its output format mid-pipeline. Each individual agent looks healthy. Only the cross-agent view reveals the break.
LangSmith vs. ClawMetry: an honest comparison for AI agent observability
A founder’s honest take on how LangSmith and ClawMetry compare on pricing, data residency, OSS posture, agent specificity, and time-to-first-insight — including the cases where LangSmith wins.
Introducing ClawMetry Agent Builder
ClawMetry now builds and hosts AI agents, not just watches them. Describe what you want in one sentence: the builder picks the right engine from 14 runtimes, deploys it on an isolated micro-VM, connects Telegram, WhatsApp, Slack or email, and streams every move to a live dashboard. Free to explore, hosting from $7/month per agent.
DDIA Chapter 3: Storage & Retrieval — Why We Replaced SQLite With DuckDB
Kleppmann’s Chapter 3 crystallized a decision we made in ClawMetry: switching from SQLite to DuckDB as our primary data layer. Agent analytics are scan-heavy aggregations — a workload where column-oriented storage beats B-trees by orders of magnitude. Here’s the chapter mapped to the real decision, including the single-writer lock design and what we gave up.
How we’re rewriting our pricing section for buyers — behind the scenes
A VP Engineering asked how much ClawMetry costs for 12 developers running 35 agents. Our pricing page couldn’t answer. Here’s the five-point CXO gap audit: feature lists vs. outcomes, the buried data residency moat, missing TCO framing, no procurement path, and scale ambiguity that kills budget conversations.
Three Agent Fires ClawMetry Would Have Caught
Three real patterns burning developers in 2026: the overnight token loop that cost $6K while dashboards stayed green, the silent interactive hang that froze an agent for four hours with no error, and the confident wrong answer that descended from a stale 200 response. What each looks like, and what ClawMetry surfaces before the damage is done.
Langfuse vs. ClawMetry: an honest comparison for AI agent observability
A founder’s honest take on how Langfuse and ClawMetry compare on pricing, data residency, agent specificity, OSS posture, and time-to-first-insight — including when you should pick Langfuse instead.
We built a desk display for your AI agents
People now run dozens of AI agents at once across OpenClaw, Claude Code, Codex, Cursor and more. You can't hold that many tabs in your head. So we built the ClawMetry Device: a small, always-on desk screen that shows every agent at a glance, lets you approve or deny what's blocked with one tap, and stays end-to-end encrypted. $99 founders pre-order, fully refundable.
Estimating the productivity gains from observing your AI agents
A measure-it-yourself framework for what observability is worth to teams running AI agents — in dollars (reasoning tax, cache misses, silent model fallbacks, tool-failure loops, compaction thrash, runaway loops) and in hours. No headline “saves you N%” claim; here’s how to find your own number.
How we’re rewriting our hero section for buyers — behind the scenes
A Head of Platform couldn't tell if ClawMetry worked for teams. She was right to be confused. This is the five-point CXO gap audit of our hero section — and the exact copy we’re shipping to fix it.
Making the other 90% observable
A joint post by OpenInfer and ClawMetry on what changes when the inference substrate becomes an operating system. OpenInfer’s OS layer schedules every agent request across heterogeneous silicon; ClawMetry attributes every scheduling decision back to the session, sub-agent, and tool call that caused it.
$1.3M vs $400: how a solo founder is outshipping a team on two Claude Code accounts
OpenClaw spends $1.3M a month running 100 AI agents. We do the same thing for $400 a month on two Claude Code 20x Max seats. The loop, the prompts, and the bet underneath it: real-time observability for every AI coding tool.
How to Install ClawMetry on Your Self-Hosted OpenClaw (VPS, Raspberry Pi, Mac)
Two ways to install ClawMetry on self-hosted OpenClaw: curl one-liner via SSH or agent command via chat. Works on Hetzner, Raspberry Pi, Mac mini, and any Linux box.
How to Install ClawMetry on MyClaw, the Private Managed OpenClaw
MyClaw users can install ClawMetry with one agent command. E2E encrypted observability that adds full visibility without compromising your privacy.
How to Install ClawMetry on xCloud OpenClaw Hosting
xCloud users can install ClawMetry with one agent command. No server management needed. Full observability in under 2 minutes on fully managed hosting.
How to Install ClawMetry on Hostinger OpenClaw with One Command
Hostinger OpenClaw users can install ClawMetry with one agent command. Track your Nexos AI credit usage, monitor cron jobs, and get full observability.
How to Install ClawMetry on KiloClaw with One Command
KiloClaw users can install ClawMetry by simply asking their agent. No SSH, no config files. Just paste one prompt and get full observability in under 2 minutes.
How to Install NemoClaw on a Hostinger VPS (Step-by-Step Guide)
Complete guide to setting up NVIDIA NemoClaw on Hostinger. Docker, OpenShell, Caddy, AI model config, and ClawMetry monitoring in under 15 minutes.