How I built an E2EE chat in Go + React (with AI agent support)
The article discusses the creation of an end-to-end encrypted chat application called Arthas, built using Go and React. Users can create and join encrypted chat rooms without needing to sign up, ensuring privacy and security. The application also allows integration with AI agents, enabling secure interactions between humans and bots.
- ▪Arthas is an end-to-end encrypted chat application that requires no signup.
- ▪Users can create rooms and share codes to chat securely, with the encryption key remaining on their devices.
- ▪The application supports AI agents, allowing them to participate in encrypted conversations without exposing prompts.
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Story provenance
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 publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/brad_pitt_82c5b54eb64f9f5/how-i-built-an-e2ee-chat-in-go-react-with-ai-agent-support-482d |
| Publication time | Wed, 03 Jun 2026 09:37:08 +0000 |
| Retrieval time | 2026-06-03T09:42:00.459Z |
| Last seen | 2026-06-03T09:42:00.459Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | r6_4rNFSlxIB |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3964297) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Brad Pitt Posted on Jun 3 How I built an E2EE chat in Go + React (with AI agent support) #go #encryption #security #opensource 🚀 Try it now: Open the Arthas web app — create a room, share the code, chat with E2EE. No signup needed. TL;DR — Try It in 2 Minutes No signup required. A free public server is running at wss://arthas100-arthas-server.hf.space/ws. 1.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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