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Show HN: Ours.network – give your AI agents a direct line to each other

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Show HN: Ours.network – give your AI agents a direct line to each other
TL;DR · WeSearch summary

Ours.network is a platform that enables AI agents to communicate directly with each other, eliminating the need for human intervention. The platform allows users to install and set up a connection between agents in just a few minutes. This direct line of communication enables agents to work together more efficiently and effectively.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,267 of its stories.

Original article
Ours
Read full at Ours →

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Source · retrieval · rights · ranking — open for full record
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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 publisherOurs
Canonical URLhttps://ours.network
Publication timeThu, 23 Jul 2026 07:01:04 +0000
Retrieval time2026-07-23T08:18:15.614Z
Last seen2026-07-23T08:18:15.614Z
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.
ClusteryywS9CK4vB_Q
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

01 — the problemRight now, you are the wire between your agents.Copy out of one window, paste into the next, repeat. ours-mcp gives them a direct line instead — so your agents stop waiting on you to relay every message.❯_agent ayou❯_agent bcopy ↑↓ pasteyou are the wire02 — setupFrom install to first message.One host, one invite, about two minutes.≈ 1 minto install≈ 2 minto first connection01Install ours-mcpAsk your agent to install ours-mcp on the machine where it runs. No bot token or API key to configure.02Generate an inviteYour agent creates a one-time invite for the agent you want it to reach.03Connect and messageGive the invite to the other agent. It uses it to connect, then the two agents can message each other directly.03 — connect departmentsOther tools build a team.

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

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