claude

hipporag

Graph-based long-term memory (HippoRAG) for Claude Code: index documents into a persistent knowledge graph and retrieve multi-hop evidence.

4,118 on GitHubby OSU NLP Groupv2.0.0-alpha.5MITupdated 1 month agoknowledge
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Plugin hipporag from marketplace hipporag in OSU-NLP-Group/HippoRAG. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (2)

  • hipporag-memory

    How to use the HippoRAG MCP tools (retrieve, rag_qa, index, delete, index_stats) as long-term memory. Use when the user asks to remember, index or "add to memory" documents, notes or files, when they ask questions that may be answered by previously indexed material, or when they ask to forget or rem

  • index-folder

    Index the text files in a folder into HippoRAG long-term memory.

MCP servers (1)

  • hipporag

    runs: uvx --python 3.12 --from hipporag[mcp] @ git+https://github.com/OSU-NLP-Group/HippoRAG hipporag-mcp --save_dir ${CLAUDE_PLUGIN_DATA}/index --llm_name ${user_config.llm_name} --embedding_model_name ${u

View source on GitHub arxiv.org

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