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60 projects
Shared memory for AI coding agents to store team discoveries and reduce duplicate research.
snakaya · HN
Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)
An MCP memory server whose entity-graph spreading recall reassembles the chain of facts a vector store can't reach. On cross-vocabulary multi-hop questions a single vector lookup s
ihamilton7 · HN
Cogni: MCP memory for LLMs, with no LLM in the retrieval path
Try semantic adapters that modify how frozen language models perceive marked text spans.
joshua_s_penman · HN
Semantic Overlays – an NX bit for LLM prompt injection (live demo)
Analyze data and generate insights using natural language queries.
symuz · HN
LLM-enabled large data analysis
Explore the Voynich Manuscript through statistical grammar inference and candidate translations.
@geeky_gamer25 · X
Check out what I just built with Lovable!
Analyze Hacker News profiles with your own LLM API key, fully client-side.
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma
Cache and reuse deep research reports to avoid re-running expensive research queries.
u/illerminati · Reddit
Caching Deep Research Output Hi r/SideProject . Just sharing a side project I've done in the recent weeks that I think might be useful for some. I use deep research at work to understand unfamiliar software domains, and in my personal life to compare products before buying them. I can’t use my company's LLM for personal use, and the publicly available deep-research products (like Claude and OpenAI) are too expensive for my taste, so I built a DeepSeek-powered alternative. The pipeline s
Collaborative workspace for thinking, discussing, and working together on Markdown files.
nathwolf · HN
Marktwin – collaborative workspaces on Markdown files you own
Ask plain-English questions about stocks, website traffic, and files to get instant, grounded answers.
u/LuboBali · Reddit
I built an AI (inspired by Zach Wilson) that answers questions about stocks, websites & personal files with real math Inspired by one of the best AI Data Engineers, Zach Wilson, I built 3 apps in one: Stocks. Website. Your files. Ask questions in plain English and get answers backed by real Python math. That’s why the output is accurate , no hallucinations, because everything is grounded in your data. Every user gets a fully isolated database. Nothing is shared. You ca
AI assistant that answers team questions from shared context with sources.
@nav_ux · X
Get your whole team's AI on the same page.
RAG-powered chat with image generation and model routing.
@Aliasistx · X
researching and developing RAG systems for agentic Graph coming on the horizon.
Capture meetings, write notes with AI, and create diagrams on a shared canvas in one place.
@rubs_murga · X
