⟨Blog
Guides, tutorials, and notes from the ClawMetry team.
Would ClawMetry have caught the DseWiki agents? We ran the test.
We replayed the DseWiki and Hugging Face agent breakouts against our own open-source detectors. One clean catch, two partial, five misses, why a swarm can teach a baseline that it’s normal, and what would close each gap.
Authorized access, unauthorized intent: six agent-security lessons from the DseWiki week
Your agents don’t need to steal credentials; you gave them yours. Six lessons from a security panel on the 2026 breakouts (least privilege, UEBA for agents, alert fatigue, reversible actions, accountability) and the control each one calls for.
Could ClawMetry have caught IBM's prior-auth agents going wrong?
IBM's AgentOps explainer asks how you know two prior-authorization agents aren't hallucinating diagnosis codes, leaking patient data or looping on your budget. We took the questions literally and checked the code: one yes, two partials, one no, and a finding about agents that report over OpenTelemetry traces, which we are fixing first.
IBM's AgentOps checklist, scored honestly against ClawMetry
Observability, evaluation, optimization: IBM's video names the metrics for each layer. We scored all fifteen against ClawMetry's shipping code. 3 alert, 7 only show, 5 are missing, and the split says something about what any outside observer can and cannot see.
Datadog vs. ClawMetry: an honest comparison for AI agent observability
A founder’s honest take on how Datadog LLM Observability and ClawMetry compare on pricing model, data residency, OSS posture, AI-agent specificity, and time-to-first-insight — including the real cases where Datadog’s unified infrastructure view wins.
The ClawMetry Device: an honest list of pros and cons
Seven reasons a 4 inch always-on screen earns its place on your desk, and eight reasons it might not. Today’s spend stops being a monthly surprise and unblocking takes one tap; but it needs the cloud, it is a glance rather than an analysis tool, and Cursor cannot be stopped per session. Including exactly who should skip it and buy nothing.
Desk display, dashboard tab, terminal or phone: four ways to watch your AI agents
Four realistic ways to keep an eye on agents you delegated work to, compared on the one thing that decides it: what each check costs you in attention. The terminal wins on depth, the dashboard on analysis, the phone on reach, the display on latency. Most people running several agents end up wanting two of them.
OpenCode vs Claude Code: which coding agent, and when
OpenCode and Claude Code compared on license, pricing model, models, interfaces and control, from the official docs, plus what either one costs you.
OpenClaw vs Hermes Agent: gateway or agent, and why
OpenClaw and Hermes Agent compared: what each one is, license, channels, skills, memory, models and pricing model, from the official docs and repos.
Cline vs Claude Code: pricing, models, control
Cline and Claude Code compared on license, how you pay, model choice, approval model and interfaces, from the official pricing pages and docs.
Cline vs Cursor: open source extension or the IDE
Cline and Cursor compared on license, pricing, model choice, agent features and control, from the official pricing pages and repos.
OpenClaw Mission Control: the dashboards, compared
Seven open-source OpenClaw mission control dashboards, what each one shows, and where a read-only observation layer fits alongside them.
Langfuse vs LangSmith: pricing, self-hosting, lock-in
Both pricing pages side by side, self-hosting terms, license and framework lock-in, and where an agent-level observer sits next to either.
OpenClaw gateway not running? A 10-minute fix guide
Gateway not starting, not reachable, dashboard auth loops, command not found and silent channels, fixed in order with OpenClaw's own diagnostics.
Is OpenClaw safe? Risks, and how to run it safely
What Microsoft and Giskard found in OpenClaw, and the isolation, identity, scoping and monitoring steps that reduce the risk.
DDIA Chapter 7: Transactions — How ClawMetry Chose Its Isolation Levels
Kleppmann’s isolation-level hierarchy — dirty reads, non-repeatable reads, write skew — mapped to four real decisions in ClawMetry: serializable ingest writes, snapshot reads via a localhost proxy, idempotent ingest instead of transaction rollback, and write-skew prevention in budget alerts. Including the tradeoffs we accepted.
Watching an AWS AgentCore fleet with ClawMetry (Pydantic AI and LangChain come free)
An enterprise fleet of 160 agents on Amazon Bedrock AgentCore, observed end to end with one Terraform change. Prove the pipeline on your laptop in five minutes with no API key, then reuse the same OpenTelemetry wiring for Pydantic AI and LangChain, self-hosted, with no per-trace bill.
How we’re rewriting our problem section for buyers: behind the scenes
A CTO asked what ClawMetry’s detection data means for 60 developers running 200 agents. Our problem section had no answer. Here’s the five-point CXO gap audit: single-developer framing that doesn’t scale, missing fleet dollar translation, governance left half-told, risk framing missing, and an organisational scope of zero.
Deep Dive: How ClawMetry Works Across 26+ AI Agent Runtimes
Your agent ran for forty minutes and spent real money, then said “Done!” Done what, exactly? A full walkthrough of how ClawMetry answers that across OpenClaw, Claude Code, Codex, Hermes, Antigravity and the rest — the local-first pipeline, exact cost attribution, the live cognitive path, and optional human-in-the-loop enforcement. No SDK, no code changes.
The Slow Burn: Three Agent Failures That Take Days (Not Minutes) to Notice
The cron that summarized empty data for three weeks. The memory file poisoned by one bad session that infected every session after it. The API deprecation that made the model compute from nulls for eleven days. These don’t fire at 3 AM — they drift. Here’s what ClawMetry’s historical DuckDB view surfaces that real-time monitoring can’t.
Six months in: 19 runtimes, a desktop app, an Agent Builder, and a device.
Six months after Product Hunt, ClawMetry now watches 19 agent runtimes, ships as a native app on Mac, Windows and Linux, has an in-browser Agent Builder, a physical desk device, and a team + governance layer with PagerDuty, Slack, SSO, and budget alerts. The whole story.
Arize Phoenix vs. ClawMetry: an honest comparison for AI agent observability
A founder’s honest take on how Arize Phoenix and ClawMetry compare on instrumentation overhead, data residency, OSS posture, agent-native features, eval capabilities, and time-to-first-insight, including the real cases where you should pick Phoenix instead.
DDIA Chapter 5: Replication and How ClawMetry Keeps Cloud Reads Fresh
A first-run ingest of 465 sessions blocked the cloud relay’s heartbeat for 2 minutes 40 seconds. Every Brain event read and transcript load queued up and never arrived. Chapter 5 of Designing Data-Intensive Applications names exactly what went wrong: replication lag from a leader too busy writing to replicate. Here’s the incident, the fix, and what the chapter taught us.
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, and 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 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. $49 founders launch price, fully refundable, ships worldwide.
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.