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bm25-search

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XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

  • Updated Aug 24, 2026
  • Rust

Cross-tool memory for AI agents. Stitch context across Cursor, Claude Code, Codex, Gemini CLI, Windsurf, Copilot, and 9+ AI tools. Preserves decisions, failed experiments & warnings across sessions. Zero dependencies, MCP + instruction files, BM25 relevance search. Never re-explain your work.

  • Updated May 12, 2026
  • Python

A Knowledge Graph-Infused RAG framework for multi-hop reasoning over Türkiye-related entities. It utilizes Neo4j for graph storage, Wikidata5M for structured data, and Ollama (Qwen 2.5) for agentic spreading activation to outperform traditional text-based RAG baselines.

  • Updated Apr 25, 2026
  • Python

Drop files. Get a knowledge graph. No database required. Claude Code skill that compiles raw sources into interconnected Obsidian-compatible markdown wikis with auto-ingest, concept extraction, BM25 search, and drift detection.

  • Updated Apr 7, 2026
  • Python

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