12 open-source projects share topics or a category with Scrapegraph-ai. 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.
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
Choose llm-wiki-agent if…
you prefer a smaller, narrower project to a large one
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
Choose khoj if…
GNU Affero General Public License v3.0 suits your use better than MIT License
you specifically need agent or ai
Shares llm, rag with Scrapegraph-ai.
Last push 3 months ago.GNU Affero General Public License v3.0Python38.0k+124
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…
Apache License 2.0 suits your use better than MIT License
you want something your agent can install directly rather than a library to wire up yourself
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…
Apache License 2.0 suits your use better than MIT License
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…
Apache License 2.0 suits your use better than MIT License
you specifically need agent-framework or agentic-ai