Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI
The week focused on operational stability: a new busy-host health probe keeps servers placeable during load spikes, backup verification now decrypts to confirm integrity, and the ListBackends endpoint was bounded to prevent overwhelming probes. Several tracker fixes improved reliability around run…
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.
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feat(guardrail): scan, redact, gate and attest a dataset before it leaves your side (#2356)
feat(backends): carry peer headroom and capability profile in ListBackends (#2135) (#2343)
fix(quickstart): find user-installed agent-box over non-interactive SSH (#2330)
fix(e2e): core-guard-legit-flows log check no longer SIGPIPEs under pipefail (#2323) (#2324)
test(agent): cover the three outcomes of the run's git fetch (#2161) (#2334)
fix(server): refuse to start on an unrecognised privileged-podman policy instead of falling back to all (#2299) (#2329)
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.