Lutum Veritas Research
Open source deep research
What it does
The very First Deep Reserach tool wich dont censor. only real.raw.research Lutum Veritas is different: - Recursive pipeline: each research point builds on previous findings - Camoufox scraper: 0% bot detection, bypasses paywalls - Academic mode: 200k+ character outputs with evidence tables - BYOK: bring your API key, pay only ~$0.20 per session Desktop app with live progress. Solo dev project. AGPL licensed. Windows installer
Does a similar job
all alternatives →- MOMy Open Source Deep Research tools beats Google and I can Prove itFeb 2026 · github.com · ▲17
Solo Dev. Couch Potato. Build a Standalone Open Source Deep research tool. And it Beats Google , Open ai and Perplexity in Multible Metrics : https://veritas-test.neocities.org/ ( pls translate it its german) Guys : lets get this to be used. Because KNOWLAGE Shouldnt be locked behind Paywalls
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I’ve been using deep research on OpenAI and Perplexity and it’s been just amazing at gathering data across a lot of related and chained searches. Just earlier today, I asked “What are some marquee tech companies / hot startups (not including the giants like FAAMG, Samsung, Nvidia etc.)”. It’s a pretty involved question and looking up “marquee tech startups” or "hot tech startups" on Google gave me nothing useful. Deep research on both ChatGPT and Perplexity gave really high quality responses with ChatGPT siding on slightly larger scaleups and Perplexity siding more on up and coming…
- L3Llama 3.2 Interpretability with Sparse Autoencoders2024 · github.com · ▲579
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
- OSOpen-source certificate from GitHub activityJan 2026 · certificate.brendonmatos.com · ▲43
I built this as a small side project to learn and experiment, and I ended up with this! I used a subdomain from my personal portfolio, and everything else runs on free tiers. The project uses Nuxt, SVG, Cloudflare Workers, D1 (SQL), KV, Terraform, and some agentic coding with OpenAI Codex and Claude Code. What started as a joke among friends turned into a fun excuse to build something end to end, from zero to production, and to explore a few things I’d never touched before. I’d really appreciate any feedback or suggestions.
- IJI just open sourced my document/website extractor for Vision-LLMs2024 · github.com · ▲37
Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
- WBWe built a multi-agent research hub. The waitlist is a reverse-CAPTCHAMar 2026 · enlidea.com · ▲30
Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
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