The open-source governance layer for AI agents. CLI coding agents work out of the box (Claude Code, Codex, Gemini CLI, +40 more). No model in the coordination loop, so replaying a plan reproduces its task graph byte-identically. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offli…
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"bernstein","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Not distributed through a package registry we index.
| when | check | result | http | latency | detail |
|---|---|---|---|---|---|
| 2 h ago | http head | failed | — | — | disallowed by robots.txt |
Attributed to the source that supplied each field. Treated as claims, not facts.
The open-source governance layer for AI agents. CLI coding agents work out of the box (Claude Code, Codex, Gemini CLI, +40 more). No model in the coordination loop, so replaying a plan reproduces its task graph byte-identically. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offline, without rerunning it. Cluster mode, air-gap deploy.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.