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Comparisons
Focused comparisons for teams choosing a search, vector and agent-memory architecture, with evidence links and clear trade-offs.
Comparison: agent retrieval
- How do I let an agent search a folder on my laptop instead of crawling the web? — Exa, Tavily and Firecrawl take a query or a URL and answer from the public web. XERJ takes a folder already on your disk and never opens a network connection.
Comparison: code retrieval
- ast-grep vs a code index for an agent? — ast-grep wins structural rewriting and XERJ does none of it. For an agent the honest recommendation is to install both and give each the job it was built for.
- Is ripgrep enough for a coding agent, or do I need a code index? — 30 disclosed tasks on one 331-file code tree. The two tools agree on 18. ripgrep wins 5 named tasks outright, including a substring inside an identifier.
Comparison: desktop search
- How do I grep PDFs and Word docs from the command line? — ripgrep-all wraps ripgrep with adapters for PDF, Office files, archives and SQLite. XERJ indexes the same folder for an agent. A capability comparison, no benchmark.
- What's a free DocFetcher alternative that an agent can call? — DocFetcher is a desktop search GUI with a portable index and Outlook PST support. XERJ is a search engine an agent calls. A capability comparison, with no benchmark.
- What's the best local desktop search for a folder of PDFs and docs? — Recoll is a desktop search application with a GUI, OCR hooks and email indexing that still reaches PST and attachments. XERJ is a search engine an agent calls, with its own .eml and .mbox indexing. A capability comparison, with no benchmark.
- XERJ vs HoudahSpot — Spotlight GUI vs an agent index — HoudahSpot is a power-user front end for Spotlight, with hundreds of attribute filters. XERJ is a folder index an agent calls. No Mac run stands behind this page.
- XERJ vs macOS Spotlight for folder content an agent can query — Spotlight is the Mac's system-wide index with zero setup and wide metadata. XERJ is a folder index an agent queries. A capability comparison, run on no Mac.
Comparison: local MCP search
- What's a local MCP search engine for Claude? — Two local MCP search engines. LocalSynapse wins the desktop experience and mail shapes beyond mbox and eml. XERJ wins data files, Excel sheets read as typed tables, and the Elasticsearch REST API.
Comparison: local search engines
- Is there an Elasticsearch-compatible engine that isn't Elasticsearch? — The published board is 55 wins, 26 ties, 4 losses and 3 not-applicable across 88 cells against Elasticsearch 8.13.4. All 4 losses are read p99 under a write flood.
Comparison: notes and vaults
- How do I search an Obsidian vault from outside Obsidian? — Omnisearch wins inside Obsidian and reaches images and PDFs through Text Extractor. XERJ reads the vault folder outside the editor. No head-to-head was run here.
Comparison: personal search
- What's a simpler alternative to Khoj if I only need search and memory? — Khoj is a whole self-hosted assistant: chat, custom agents, scheduled research and image generation. XERJ is the smaller piece, the search and memory engine.
Comparison: search engines
- Do I need Typesense for an agent to search my docs? — Typesense wins faceted product browsing and says so in its own use cases. An agent can query a folder of mixed files without it. No faceting test was run here.
- What's a local alternative to Meilisearch that indexes a folder by itself? — A local alternative to Meilisearch that reads a folder of mixed files by itself. Meilisearch wins typo tolerance by default. No head-to-head was run here.
Comparison: site and export search
- Pagefind vs indexing a local HTML dump for an agent? — Pagefind wins static-site search in the browser with no server. XERJ indexes a local HTML dump on disk so an agent can query it. No head-to-head was run here.
Comparison: vector database
- Should my agent call a search API or stand up Qdrant for persistent memory? — Agent memory lives in the index process XERJ already runs, so no second data service starts. On 8 judged queries hybrid linear fusion scored precision@3 0.4583.