WeSearch

Show HN: Aitori, see and govern the AI traffic leaving your machine

·4 min read · 0 reactions · 0 comments · 8 views
#show#aitori#govern#traffic#leaving
Show HN: Aitori, see and govern the AI traffic leaving your machine
TL;DR · WeSearch summary

aitori aitori is a small agent that runs on a machine and intercepts the AI traffic leaving it. Model and MCP calls from apps and command-line tools are sent through a gateway, where they can be logged and checked against a policy; everything else is left alone. The application is unaffected: it talks to the same endpoint, uses the same key, and gets the same response back.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 2,411 of its stories.

Original article
GitHub
Read full at GitHub →
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherGitHub
Canonical URLhttps://github.com/truefoundry/aitori/
Publication timeMon, 27 Jul 2026 12:05:23 +0000
Retrieval time2026-07-27T12:26:17.397Z
Last seen2026-07-27T12:26:17.397Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusterss9kX3Hsxq4n · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

aitori aitori is a small agent that runs on a machine and intercepts the AI traffic leaving it. Model and MCP calls from apps and command-line tools are sent through a gateway, where they can be logged and checked against a policy; everything else is left alone. The application is unaffected: it talks to the same endpoint, uses the same key, and gets the same response back. Why Many apps give you no way to change where they send their requests. A browser on claude.ai or chatgpt.com has no setting that points it at a gateway. The only place left to intercept that traffic is on the machine itself, before it leaves. aitori decrypts only the hosts you list and leaves the rest alone, and if the gateway is unavailable the request still reaches its original destination.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from GitHub