Show HN: Local AI server with persistent memory, RAG and plugins
A new local AI server called Server Nexe has been developed, offering persistent memory and full control without relying on cloud services. The project, initiated by a single developer in Barcelona, has evolved into a functional product that allows users to run an AI server on their machines. It emphasizes privacy by ensuring that all data remains on the user's device and includes features like a modular plugin system and multi-backend inference.
- ▪Server Nexe is an open-source local AI server that maintains persistent memory and operates without cloud dependency.
- ▪The project has been built by one individual, incorporating various AI models and ensuring that user data remains private.
- ▪It features a modular plugin system, allowing users to enhance functionality without altering the core system.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,311 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | GitHub |
| Canonical URL | https://github.com/jgoy-labs/server-nexe |
| Publication time | Wed, 27 May 2026 08:36:37 +0000 |
| Retrieval time | 2026-05-27T08:37:56.893Z |
| Last seen | 2026-05-27T08:37:56.893Z |
| 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 | ONJuaGdjghor |
| 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
Local AI server with persistent memory. Zero cloud. Full control. I've reached the minimum viable product for the real world — but feedback is still missing. 🚀 Documentation · Install · Architecture · Releases Català · Español v1.0.4 — Desktop App Release. Server Nexe now ships as a Tauri v2 desktop application (app/) with onboarding wizard, system tray, and automatic sidecar management. Available as macOS DMG (Apple Silicon) and Linux AppImage (ARM64). See Releases. Linux note: tested on Ubuntu 24.04 ARM64 virtual machines (UTM). CPU inference (Ollama) verified. If you test on native hardware or with GPU acceleration, please open an issue with your results.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.