Give every tool LLM wiki and bypass Claude Code SSH Throttle
The article discusses a method for creating a persistent workspace for AI tools using a Linux box. By integrating various tools and services, the author enables multiple AI applications to share a common knowledge base and context. This setup allows for more efficient collaboration and continuity between sessions without losing information.
- ▪The author built a persistent workspace for AI tools on a Linux box to avoid losing context between sessions.
- ▪Multiple AI tools can now share the same filesystem and database, allowing them to collaborate more effectively.
- ▪The setup costs only $10 a month to run and can be easily replicated using modular coding agents.
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
inspect →
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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=48169701 |
| Publication time | Sun, 17 May 2026 15:18:17 +0000 |
| Retrieval time | 2026-05-17T15:33:20.772Z |
| Last seen | 2026-05-17T15:33:20.772Z |
| 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 | byiz7VizKUWs |
| 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
So I get from a security perspective this is a terrible idea, but it works great!I wanted to give every tool I had access to LLM wiki and didn’t want to pay Mem0 or congee $100 a month for saving text files.Every AI I use hits the same wall. The conversation ends and everything disappears. Context, files, databases, working state. Next session I’m re-explaining what we built yesterday.I fixed this by giving every AI tool access to a persistent workspace on a Linux box. Claude, Claude Code, any MCP-compatible tool. They all share the same filesystem, the same database, the same knowledge base. One of them writes an architecture doc, the others can read it.The whole thing cost an afternoon to build and $10/month to run.I realized Pi has everything I needed.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.