Fetching from the wire…
Public story · 2026-08-07 · high
The open-source Python tool breaks each task into tool calls, files, and tokens spent, all stored locally with no login.
Why now: agentacct was pushed August 7, built for scheduled multi-agent jobs. It turns a runaway token bill into something diagnosable after the fact, not a mystery on the invoice.
agentacct splits every AI agent task into a ledger of tool calls, files touched, tests run, and tokens spent, per the project's GitHub page.
That matters for anyone running scheduled agent jobs unattended, where a runaway loop can turn into a token bill with no explanation attached. agentacct's per-task breakdown turns that black box into something traceable back to a specific run.
The open-source Python tool, built by mikehasa, works across Claude Code, Codex, OpenCode and other agent runners.
It writes everything to a local-first dashboard instead of a hosted one. agentacct skips the login screen and sends no telemetry back to a server. Tool calls and file paths stay on the machine that ran the agent.
It's picked up 547 stars and ships under an MIT license. agentacct positions the no-telemetry design as its differentiator against hosted observability vendors.
Whether it stays telemetry-free as it adds features is the thing to watch.
Each link below shares sources, entities, or timing with this story.
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