12 open-source projects share topics or a category with easy-dataset. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
Choose neo if…
you need a detected license — this one reports MIT License
you want something your agent can install directly rather than a library to wire up yourself
you prefer a smaller, narrower project to a large one
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Choose graphify if…
you would rather work in Python than JavaScript
you need a detected license — this one reports Apache License 2.0
you want something your agent can install directly rather than a library to wire up yourself
Official Crawl4AI Cloud: a hosted web scraping, extraction, and search API for AI agents. Free API key, 1,000 credits a month, no card. Fully open source: this repo is the Apache-2.0 crawler that powers it, and you can self-host it.
Choose crawl4ai if…
you would rather work in Python than JavaScript
you need a detected license — this one reports Apache License 2.0
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Choose headroom if…
you would rather work in Python than JavaScript
you need a detected license — this one reports Apache License 2.0
you want something your agent can install directly rather than a library to wire up yourself
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Choose haystack if…
you would rather work in Python than JavaScript
you need a detected license — this one reports Apache License 2.0