Show HN: Simple self-hosted LLM assistant with user-steered compounding context
Pawmc: Private Assistant with Managed Context A personal LLM assistant that runs on Cloudflare Workers and maintains a user-guided compounding knowledge base across conversations. When starting a new conversation, choose which historical context you want it to have by choosing a category and topic. Additional context from new chats is compounded daily or on request.
- ▪Pawmc: Private Assistant with Managed Context A personal LLM assistant that runs on Cloudflare Workers and maintains a user-guided compounding knowledge base across conversations.
- ▪When starting a new conversation, choose which historical context you want it to have by choosing a category and topic.
- ▪Additional context from new chats is compounded daily or on request.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,540 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 | GitHub |
| Canonical URL | https://github.com/kol3x/pawmc |
| Publication time | Tue, 04 Aug 2026 14:48:35 +0000 |
| Retrieval time | 2026-08-04T14:55:43.385Z |
| Last seen | 2026-08-04T14:55:43.385Z |
| 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 | lgi0V6Znso_W · 1 stories |
| 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
Pawmc: Private Assistant with Managed Context A personal LLM assistant that runs on Cloudflare Workers and maintains a user-guided compounding knowledge base across conversations. When starting a new conversation, choose which historical context you want it to have by choosing a category and topic. Additional context from new chats is compounded daily or on request. It's simple and lightweight, and you own your data, pick your model, and control the prompts. Key advantages Compounding context that works Pawmc asks for a little effort from a user, but the result is predictability of compounding context. Every time you start a chat, you must select a "category" and "topic" (existing or new) and that's exactly where the context will compound.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.