See your agent think. Zero-config observability & governance for 30 AI agent runtimes: Claude Code, OpenAI Codex, Hermes, OpenClaw & 26 more. Live token costs, sessions, tool calls, crons.
The week brought streaming support to both native and hosted Assistant modes, along with encrypted node execution for improved performance and security. Usage and replay features got substantial polish: users can now assign repositories to projects from the Usage tab, see conversation branches in…
Get this in your inbox every Monday →A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in clawmetry's README, structure, and recent commits — answers won't invent code they haven't seen.
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[RELEASE] assignment dates on the Usage tab, workflow node details and Pi branches in the replay (carries #6353, #6339, #6360)
feat(replay): open other branches of a Pi conversation from the replay (#6360)
feat(usage): assignment from Usage tab can have a start date and an end date (#6353)
feat(assistant): add session debugging endpoints and conversation tracing (#6350)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.
