I open sourced memduck, a self-hosted AI memory workspace
Memduck is a self-hosted AI memory workspace designed to help users manage and retrieve context from various sources. It allows users to save materials from browser pages, text, and chat channels into a local memory workspace. The tool aims to provide a personal memory engine that keeps the source trail visible while facilitating AI retrieval.
- ▪Memduck enables users to save materials from different sources into a local workspace.
- ▪The tool supports various input channels including Telegram, Slack, and Discord.
- ▪It is designed to be self-hosted for better personal control over memory management.
DEV.to (Top) files mainly under programming. We currently carry 4,924 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 | DEV.to (Top) |
| Canonical URL | https://dev.to/tage_cc_b441e6b367279d2fa/i-open-sourced-memduck-a-self-hosted-ai-memory-workspace-ko5 |
| Publication time | Thu, 21 May 2026 07:35:30 +0000 |
| Retrieval time | 2026-05-21T08:05:03.760Z |
| Last seen | 2026-05-21T08:05:03.760Z |
| 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 | DlW9QEewqOrb |
| 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 === 3160328) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } tage cc Posted on May 21 I open sourced memduck, a self-hosted AI memory workspace #ai #productivity #opensource #showdev I built memduck because useful context keeps disappearing across links, copied text, screenshots, and chat messages. Most of my actual working memory is not in one clean notes app. It is spread across browser tabs, saved links, snippets, screenshots, Telegram messages, and random text I copied while researching something.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).