xerj

Name: xerj Review
Item: xerj
Rating: 3.8
Author: Aaron Matthews

Skill Data & Analytics Solid

Works inClaude Code

Solid Scanned — metadata only

It bridges the gap between unstructured local data and AI agent reasoning by providing high-performance, hybrid search capabilities.

Local-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.

Search through local codebases, documentation, and logs using hybrid search
Provide AI agents with long-term memory using indexed local data
Retrieve specific information from large PDF or CSV files via RAG

13,234 starsApache-2.0 (commercial OK)FreeQuick setup

Why it matters

It bridges the gap between unstructured local data and AI agent reasoning by providing high-performance, hybrid search capabilities. This reduces latency and improves RAG accuracy for complex engineering workflows involving code, logs, and documentation.

Best for

AI engineers and platform teams building local-first RAG applications or agentic workflows requiring high-performance indexing.

Works in

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Source

https://github.com/xerj-org/xerj

By xerj-org

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install xerj-org/xerj

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me search through local codebases, documentation, and logs using hybrid search

CostFree

Trust Signals Auto-scanned

Stars13,234Last updated2026-10-23LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-23 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 13,234 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

5/5

Reliability

3/5

Security

3/5

Overall score3.85 / 5.00 SolidEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 13,234 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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