Honest cost
A model missing from your pricing table shows —, never
$0.00. One wrong number and you stop trusting all of them.
Open source · MIT
Every tool call, token, and dollar your AI coding agents spend — on one dashboard. Then set guardrails that stop the risky ones before they run.
npm install -g @klars/agentobs
Requires Node 22.5+. Runs entirely on your machine — no account, no signup.
npm install -g @klars/agentobs
agentobs init
Prints a hook config block. Paste it into
~/.claude/settings.json.
agentobs dashboard
Runs at 127.0.0.1:4300. Tool calls appear within seconds.
agentobs policy init
Blocks rm -rf and curl | sh out of the box.
Guardrails are evaluated inside the same hook that does the logging, so a blocked call never executes. Check exactly what a rule will do before it fires mid-task:
A model missing from your pricing table shows —, never
$0.00. One wrong number and you stop trusting all of them.
Process-wrapped sessions are labelled coarse. The UI never implies
detail it doesn't have.
A malformed policy degrades to allow-everything and says so. A guardrail that wedges your agent is worse than none.
AgentObs sits in the middle of everything your agent does. That only works if it is trustworthy by construction, not by promise.
KEY=value pairs, Authorization: headers and URL
credentials.
rm -rf ~/.agentobs. That is the entire
footprint.