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xerj

Elasticsearch-compatible search server that auto-indexes folders for coding agents

Live demo ↗ (opens in a new tab)Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
Stars
4.1k
License
Apache-2.0
Last commit
Oct 2026
Last release
Oct 2026
Language
Rust

Missed the latest GitHub check; these facts may be older.

Overview

XERJ is a single Rust binary that speaks the Elasticsearch API. `xerj autoindex <folder>` infers datasets from code, docs, logs, PDFs, SQLite and CSV, and creates one typed index per dataset, with tree-sitter symbols and line numbers for code. It supports BM25, kNN and hybrid search, a `/_memory` agent memory API, and a `xerj mcp` stdio server exposing 13 tools. Its main pitch is cutting agent token use by retrieving passages instead of reading files.

Who it is for: Developers giving coding agents local code and document search or memory

Strengths

  • Single static binary, no JVM; prebuilt for Linux, macOS and Windows on x86-64 and arm64
  • Works with existing Elasticsearch clients pointed at localhost:9200; 1366/1369 ES-YAML conformance tests
  • Autoindex needs no schema; handles code, PDF, DOCX, XLSX, SQLite, mail and logs
  • Default lexical embedder runs offline; air-gapped deployment recipe is documented

Weaknesses

  • Token savings come from the project's own 16-run study; neutral to negative on popular libraries
  • Default embedder is lexical feature-hashing; neural mode is opt-in and downloads about 90 MB
  • `--insecure` quick start disables TLS and auth; every caller becomes a superuser
  • Optional Jev rerank sends result text to TypeSafe's servers

What it needs

  • Rust, lexical embedder (default, offline), neural embedder (opt-in, ~90 MB download), Jev reranker (optional, external service)

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