An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
This week focused on reliability improvements across multiple subsystems. Notable fixes include correcting environment variable handling in skills, preventing malformed todo statuses and stale notifications from causing failures, and tightening data isolation in the gateway layer. Additionally, a…
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 deer-flow's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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fix(skillscan): catch a shell behind a sudo option that takes a value (#6372)
fix(middleware): keep the bash exit marker last after budget rewrites (#6354)
fix(tests): skip MAX_PATH-exceeding blocking-io anchors on Windows (#6361)
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.
