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We're excited to announce Hyper-Research. Open-source tool for comparing any AI models, products, or research, the same engine we used to stack Cursor, Antigravity, and Windsurf side-by-side. • Drop URLs • Get instant comparisons • Scoring dashboards + visual diffs • Powered by Hyperbrowser + Claude Opus 4.5

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Hyperbrowser

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11,338 просмотров • 8 месяцев назад •via X (Twitter)

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We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.
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We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.

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We're building HyperPlex. An open-source research agent that does the work you don't want to do. Give it a goal. It spawns agents, browses, reads, extracts, and returns a cited answer. Schedule it on a cron. Let it run while you sleep. Powered by Hyperbrowser.
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We're building HyperPlex. An open-source research agent that does the work you don't want to do. Give it a goal. It spawns agents, browses, reads, extracts, and returns a cited answer. Schedule it on a cron. Let it run while you sleep. Powered by Hyperbrowser.

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Today, I'm excited to open source Firesearch A full-stack Next.js template for building your own AI-powered deep research engine. Details, video and repo 👇
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Today, I'm excited to open source Firesearch A full-stack Next.js template for building your own AI-powered deep research engine. Details, video and repo 👇

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Your AI agents can now explore knowledge infinitely. The new HyperGraph. Type a topic. Get a skill graph. Click any node to go deeper. Watch new concepts bloom in real time. Start with one idea. End with a complete knowledge base. Open source. Powered by Hyperbrowser.
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Your AI agents can now explore knowledge infinitely. The new HyperGraph. Type a topic. Get a skill graph. Click any node to go deeper. Watch new concepts bloom in real time. Start with one idea. End with a complete knowledge base. Open source. Powered by Hyperbrowser.

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Your AI agents can now learn multiple skills at once. /learn batch One command. All skills. Parallel. Watch Claude Code learn your entire stack at once. Powered by Hyperbrowser, Setup Guide ↓
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Your AI agents can now learn multiple skills at once. /learn batch One command. All skills. Parallel. Watch Claude Code learn your entire stack at once. Powered by Hyperbrowser, Setup Guide ↓

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Coding agents waste a lot of tokens just figuring out how a site is structured before they can touch it. Map it once instead. Agentmap crawls any site and turns it into a structured map, pages, flows, and the data on each, that any agent loads in one shot. claude code, cursor, a browser agent, all of them skip the blind exploration and go straight to the task. Open source, powered by hyperbrowser ↓
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Coding agents waste a lot of tokens just figuring out how a site is structured before they can touch it. Map it once instead. Agentmap crawls any site and turns it into a structured map, pages, flows, and the data on each, that any agent loads in one shot. claude code, cursor, a browser agent, all of them skip the blind exploration and go straight to the task. Open source, powered by hyperbrowser ↓

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Your AI agents can now learn entire skill trees from the web. Meet the new HyperSkill Give it a topic. It reads the docs and builds a skill tree your agent can navigate.Browse the graph. Download. Drop into your project. Open source. Powered by Hyperbrowser.
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Your AI agents can now learn entire skill trees from the web. Meet the new HyperSkill Give it a topic. It reads the docs and builds a skill tree your agent can navigate.Browse the graph. Download. Drop into your project. Open source. Powered by Hyperbrowser.

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Claude Code is already incredible. We gave it one more superpower. /docs fetch <url> Live docs from any site. Cached in your repo. Right in your terminal. No more coding against outdated docs. Powered by Hyperbrowser MCP.
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Claude Code is already incredible. We gave it one more superpower. /docs fetch <url> Live docs from any site. Cached in your repo. Right in your terminal. No more coding against outdated docs. Powered by Hyperbrowser MCP.

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Your AI agents can now master entire tech stacks, not just single tools. Introducing batch mode for HyperSkill. Auto-generate dozens of SKILL. md files at once from live docs. so your agents can master complete ecosystems, not just single tools. Open-source & powered by Hyperbrowser ↓
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Your AI agents can now master entire tech stacks, not just single tools. Introducing batch mode for HyperSkill. Auto-generate dozens of SKILL. md files at once from live docs. so your agents can master complete ecosystems, not just single tools. Open-source & powered by Hyperbrowser ↓

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We're excited to announce SPECTRE AI as an official research partner of ZIGChain! Spectre AI’s On-Chain Search Engine and AI-driven analytics are now integrated into our ecosystem. All $ZIG stakers with 5,000 or more $ZIG now get exclusive access to Spectre AI’s search engine and a suite of advanced AI utilities. Additionally, $SPECT is bringing its AI-powered technology to ZIGChain, enhancing the research capabilities of Wealth Managers. Stake 5,000 or more $ZIG here: Access Spectre AI's on-chain search engine:
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We're excited to announce SPECTRE AI as an official research partner of ZIGChain! Spectre AI’s On-Chain Search Engine and AI-driven analytics are now integrated into our ecosystem. All $ZIG stakers with 5,000 or more $ZIG now get exclusive access to Spectre AI’s search engine and a suite of advanced AI utilities. Additionally, $SPECT is bringing its AI-powered technology to ZIGChain, enhancing the research capabilities of Wealth Managers. Stake 5,000 or more $ZIG here: Access Spectre AI's on-chain search engine:

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Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure.
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Excited to announce Hi👋3DGen v0.1 - my first 3D generation project! Released at Huge thanks to the teams of Hyper3D by Deemos, VAST AI Research, and ByteDance for their guidance. We sincerely believe open collaboration drives AI innovation forward!

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Project DeepWiki Up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub – powered by Devin. It’s free for open-source, no sign-up! Visit deepwiki com or just swap github → deepwiki on any repo URL:
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Project DeepWiki Up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub – powered by Devin. It’s free for open-source, no sign-up! Visit deepwiki com or just swap github → deepwiki on any repo URL:

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finetuning LLMs will never be the same! Unsloth just launched an open-source web UI to run and fine-tune 500+ LLMs without writing any code. key features - run models locally on Mac, Windows, Linux - train 500+ models 2x faster with 70% less VRAM - supports GGUF, vision, audio, embedding models - auto-create datasets from PDF, CSV, DOCX - self-healing tool calling and code execution - compare models side by side + export to GGUF to get started, I've shared links in the next tweet.

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The verdict is in! Frontier models can pass the bar, yet they struggle on comprehensive legal research Today we're releasing Legal Research Bench, a benchmark that measures models’ ability to solve realistic legal research tasks across eight areas of U.S. law Instead of awarding partial credit, Legal Research Bench measures whether a model can conduct exhaustive legal analysis. We grade against a strict, all-pass rubric written by practicing lawyers. A model only receives full credit if every required legal element is correct Claude Opus 4.8 leads with 43.8% all-pass accuracy, followed by GPT 5.5 (40.4%) and Claude Sonnet 4.6 (38.5%). While top models score around 80% with partial credit, none exceed 44% when every required legal element must be correct The gap between partial and all-pass accuracy shows how difficult it remains for AI to produce complete, reliable legal research. We hope that Legal Research Bench helps better measure, and ultimately close that gap Lots of exciting work happening in Legal AI from Harvey and Crosby. Excited for the legal research benchmarks ahead!
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The verdict is in! Frontier models can pass the bar, yet they struggle on comprehensive legal research Today we're releasing Legal Research Bench, a benchmark that measures models’ ability to solve realistic legal research tasks across eight areas of U.S. law Instead of awarding partial credit, Legal Research Bench measures whether a model can conduct exhaustive legal analysis. We grade against a strict, all-pass rubric written by practicing lawyers. A model only receives full credit if every required legal element is correct Claude Opus 4.8 leads with 43.8% all-pass accuracy, followed by GPT 5.5 (40.4%) and Claude Sonnet 4.6 (38.5%). While top models score around 80% with partial credit, none exceed 44% when every required legal element must be correct The gap between partial and all-pass accuracy shows how difficult it remains for AI to produce complete, reliable legal research. We hope that Legal Research Bench helps better measure, and ultimately close that gap Lots of exciting work happening in Legal AI from Harvey and Crosby. Excited for the legal research benchmarks ahead!

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