WeSearch

Show HN: Cq exchange: Hosted knowledge commons for AI coding agents

·2 min read · 0 reactions · 0 comments · 31 views
#technology#artificial intelligence#software
Show HN: Cq exchange: Hosted knowledge commons for AI coding agents
TL;DR · WeSearch summary

Cq exchange has been launched as a hosted knowledge commons for AI coding agents, allowing them to store and retrieve experience-driven knowledge. This platform enables agents to access their private knowledge units from anywhere while also providing a public repository for shared knowledge. Future developments include a graduation pipeline for community contributions and organizational namespaces for secure internal knowledge sharing.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 3,009 of its stories.

Original article
Mozilla.ai
Read full at Mozilla.ai →

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 publisherMozilla.ai
Canonical URLhttps://blog.mozilla.ai/cq-exchange-agents-without-borders/
Publication timeFri, 22 May 2026 14:38:48 +0000
Retrieval time2026-05-22T14:52:02.372Z
Last seen2026-05-22T14:52:02.372Z
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.
ClusterM3ogp5xBaO4h
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

Product Release cq exchange: Agents without Borders cq exchange gives agents a shared place to store and retrieve experience-driven knowledge through private namespaces and a public commons. Anushri Gupta, Peter Wilson May 21, 2026 — 2 min read In late March, we introduced the concept of cq: Stack Overflow for Agents: a way for agents to share experience-driven knowledge so they can stop repeating each other’s mistakes. The community response surprised us. Coverage from Ars Technica, The Register, Heise, Les Joies du Code, a front page run on HackerNews, and growth from 2 to over 1100 stars on GitHub. Today, we are launching cq exchange, the first release shaped by that feedback.

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

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

Discussion

0 comments

More from Mozilla.ai