Best Data & search harnesses for AI agents
The most-adopted Data & search harnesses an AI agent can use, ranked by GitHub stars, with what each is best for. Loadbay is an MCP server, so an agent can pull this list live:
claude mcp add --transport http loadbay https://loadbay.xyz/api/mcp
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1. markitdown
155,123★ · Python
Most adopted — the default starting point. Best for LLM. Python tool that converts Office documents, PDFs, and other files to Markdown for LLM ingestion. -
2. Firecrawl
134,000★ · TypeScript
Best for Web. Search, scrape, and crawl the web at scale and get clean, structured content. The data layer behind a lot of agents. -
3. RAGFlow
83,000★ · Python
Best for Elasticsearch, OpenAI, Ollama. Open-source RAG engine built on deep document understanding, with grounded citations and an end-to-end retrieval pipeline. -
4. crawl4ai
68,744★ · Python
Best for Playwright. Open-source LLM-friendly web crawler and scraper that outputs clean markdown and structured data for agents. -
5. MinerU
67,000★ · Python
Best for LlamaIndex, LangChain. Converts PDFs and documents into machine-readable Markdown and JSON, extracting formulas, tables, and reading order for RAG. -
6. Scrapy
62,000★ · Python
Best for Playwright. Fast asynchronous Python framework for large-scale web crawling and structured data extraction. -
7. docling
61,748★ · Python
Best for Hugging Face. Document parsing and ingestion toolkit that converts PDFs, Office files, and images into structured data for gen AI. -
8. AnythingLLM
61,000★ · JavaScript
Best for Ollama, OpenAI, LanceDB. All-in-one app turning documents into a private RAG chatbot, bundling ingestion, vector storage, and retrieval; MCP-compatible. -
9. mem0
58,796★ · Python
Best for OpenAI, Qdrant, Neo4j. Universal memory layer that gives AI agents persistent long-term memory across sessions via SDK and MCP. -
10. Meilisearch
58,000★ · Rust
Best for LangChain, OpenAI. Fast, typo-tolerant open-source search engine with built-in hybrid keyword and vector/semantic search.