The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agentacct
See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for…
Install
pipx install agentacctInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →agentacct
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agentacct answers one simple question: what the fuck are my agents actually doing?
See what your coding agents have been working on, across projects and clients: recent activity, tool calls, recorded steps, checks, tokens, and estimated cost. Open a task for its Work Receipt and follow the activity timeline from attempt to result. Built from the local session logs of Claude Code, Codex, Kimi Code, OpenCode, Hermes, and others. No account, no cloud, nothing leaves your computer.
Screenshots show a synthetic demo workspace; your install renders your own local data.
Install
pipx install agentacct
agentacct onboard # once per machine: finds your agents, sets up a local store, starts the recorder
agentacct tui # the terminal app
Requires Python >= 3.11 on macOS or Linux; Windows is supported only via WSL. For a native window with no Python, download the signed, notarized macOS app from the latest release (macOS 14+).
Either way, open a new agent session afterwards: hooks and MCP servers bind at session start.
The per-agent setup, a --scope project install, and the uv/venv alternatives are in INSTALL.md.
Follow what happened
Sessions opens with the most recently active tasks. Search by task or project, or choose another sort when you need it. Each receipt brings together the participating sessions, recorded outcome, estimated cost, claims, and check results; its activity timeline comes first, with steps and full check details one click away.
An agent's own "done" is Reported. A Verified result needs current passing checks after the last recorded change. Claims and checks stay separate, and a failed attempt stays visible in the history alongside later results. A recorded failure is useful context, not automatically a request for you to intervene.
A day's work, across every agent you run
Point a work group at a project folder to see which agents worked there and what they did most recently. Open the group for session details and a shared timeline. Each session keeps its own evidence; group totals are sums of the participating sessions, with partial coverage and overlap labeled.
Start with recent activity
The Dashboard shows the latest recorded work across your projects, with its client, activity time, outcome, evidence, and cost. Historical failed checks and blockers remain available in Recorded issues. They do not decide the default order or become a list of things you must fix. Right-click a Recorded issues row to copy a brief from recorded facts.
Understand the usage behind the work
Filter by date, agent, model, or provider—independently, so "Codex on Opus, last 7 days" is one selection instead of a page you reset. This range totals the same rows by agent and by model, and selecting a date narrows the client/model breakdown under the date table. The chart remembers your Fresh or All tokens choice, and the tables show fresh, cache, and total tokens side by side with cache reads and writes separated. Hover a Fresh value for input and output counts.
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