My Open Source Deep Research tools beats Google and I can Prove it
Last week I benchmarked my open-source Deep Research tool against ChatGPT, Perplexity, and Gemini. I caught OpenAI fabricating 4-5 citations that don't exist. Gemini reduced real hazard ratios by 30-40%. So I built ASK Mode: every answer gets automatically verified against a second round of sources. Each claim marked [OK], [??], or [NO]. - ~400 verified answers for $1 - 2-3 minutes per query - No RLHF nannying - it answers what you ask - Full verification report with every response The gap between chat (unverified, stale training data) and deep research (20+ minutes) needed filling.…
My Open Source Deep Research tools beats Google and I can Prove it launched on February 1, 2026 with 17 votes, #807 of 16,627 launches that month and more than 90% of that year's launches.
In plain words
My Open Source Deep Research tools is a standalone, open-source research application built by a solo developer. It functions as a deep research tool accessible to anyone without paywalls. The software is designed for users seeking free alternatives to commercial research platforms. The creator emphasizes accessibility and knowledge sharing as core principles behind the project's development.
written from the facts on this page · September 2026
From the sources
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
This is Veritas Research. Contribute to IamLumae/Project-Lutum-Veritas development by creating an account on GitHub.
In the maker’s words, at launch
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
Does a similar job
all alternatives →- IRI Remade the Fake Google Gemini Demo, Except Using GPT-4 and It's Real2023 · sagittarius.greg.technology · ▲434
Needle: We Distilled Gemini Tool Calling into a 26M ModelMay 2026 · github.com · ▲776Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Open-source Deep Research across workplace applications2025 · github.com · ▲125I’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…
Open Deep Research2024 · opendeepresearch.vercel.app · ▲10Open source alternative to Gemini Deep Research
Deep Research – Open-Source Customizable Reasoning Framework for Devs2025 · github.com · ▲7The first ever AI peer reviewed research article just got approved. It’s kinda crazy how advanced AI have come to replace researchers. I've just been using Deep Research on ChatGPT and Perplexity a lot to write and research complex technical reports for my boss. He loves the reports and it has decreased my workload a ton but I still have some frustrations with it. None of them provide an API that gets me the same quality of output you would with the applications. I wanted something with more control on the LLMs, swappable with the reasoning new models that came out. Not just prompt →…
- ATA tool to benchmark LLM APIs (OpenAI, Claude, local/self-hosted)2025 · llmapitest.com · ▲55
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
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