Showing 4 open source projects for "llm api"

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    Enterprise-grade ITSM, for every business

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  • Easily Host LLMs and Web Apps on Cloud Run Icon
    Easily Host LLMs and Web Apps on Cloud Run

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  • 1
    Firecrawl

    Firecrawl

    Turn entire websites into LLM-ready markdown or structured data

    Crawl and convert any website into LLM-ready markdown or structured data. Built by Mendable.ai and the Firecrawl community. Includes powerful scraping, crawling, and data extraction capabilities. Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown or structured data. We crawl all accessible subpages and give you clean data for each.
    Downloads: 6 This Week
    Last Update:
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  • 2
    Crawl4AI

    Crawl4AI

    Open-source LLM Friendly Web Crawler & Scraper

    Crawl4AI is a high-performance, AI‑ready web crawler tailored for LLM data ingestion and RAG pipelines. It supports adaptive crawling heuristics (stopping when enough info is gathered), structured markdown output, and high-speed parallel execution. Designed to operate at scale with optional Docker deployment and framework integrations.
    Downloads: 0 This Week
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  • 3
    Kong

    Kong

    The Cloud-Native API Gateway

    Kong is a next generation cloud-native API platform for multi-cloud and hybrid organizations. When building for the web, mobile, or Internet of Things, you’ll need a common functionality to run your software, and Kong is that solution. Kong acts as a gateway, connecting microservices requests and APIs natively while also providing load balancing, logging, monitoring, authentication, rate-limiting, and so much more through plugins. Kong is highly extensible as well as platform agnostic,...
    Downloads: 0 This Week
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  • 4
    BrowserOS

    BrowserOS

    Agentic browser; privacy-first alternative to ChatGPT Atlas

    BrowserOS is an open-source, agentic web browser built on a Chromium base that integrates AI agents directly into the browsing experience. Rather than just doing standard browsing, it places AI intelligence at the core: you can connect your own API keys (for e.g., OpenAI, Anthropic, Google Gemini) or run local models (via e.g., Ollama) so that your browsing data and automation stay on your machine — privacy and control are emphasized throughout. The interface remains familiar to users of...
    Downloads: 13 This Week
    Last Update:
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