Firecrawl Research Index
An index for agents pushing the frontier of AI/ML research
Firecrawl Research Index launched on June 19, 2026 with 221 votes, #126 of 22,647 launches that month and more than 99% of that year's launches.
What it does
AI/ML research moves fast, and the work that matters is split between new papers and the code that implements them. Most search providers omit or misrank key papers, leaving you to review sources by hand without ever being sure you've caught everything. So we built an index for it. Firecrawl's index includes all 3M+ arXiv papers, as well as GitHub artifacts from top research repos, refreshed daily so agents always stay current.
Search papers, read paper passages, and find related work
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The new Firecrawl /searchJul 2026 · docs.firecrawl.dev · ▲257Our most accurate Search API for AI agents.
/agent by Firecrawl Dec 2025 · firecrawl.dev · ▲569While building mendable - we found that feeding LLMs well-structured markdown improved accuracy. We also found it surprisingly hard. We found some great tools online, but none reliably handled the entire process. We wanted an API that took a URL, crawled the pages in the URL, and gave us an easy-to-use, up-to-date markdown we could feed into our index. So, we released an open-source repo and an API that crawls and turns entire websites into a markdown with just a few lines of code The API handles: - Crawling without consistent sitemaps - Infra to handle running many crawling jobs - Proxying,…
Firecrawl CLIMar 2026 · docs.firecrawl.dev · ▲249Firecrawl skills are an easy way for AI agents such as Codex, Claude Code, Cursor, and OpenCode to use Firecrawl through the CLI.

Index – New Open Source browser agent2025 · github.com · ▲98Hey HN, Robert from Laminar (lmnr.ai) here. We built Index - new SOTA Open Source browser agent. It reached 92% on WebVoyager with Claude 3.7 (extended thinking). o1 was used as a judge, also we manually double checked the judge. At the core is same old idea - run simple JS script in the browser to identify interactable elements -> draw bounding boxes around them on a screenshot of a browser window -> feed it to the LLM. What made Index so good: 1. We essentially created browser agent observability. We patched Playwright to record the entire browser session while the agent operates,…

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