# xerj-org/xerj

> A local Rust search engine that auto-indexes folders of code, docs, logs and PDFs so AI agents retrieve exact passages instead of reading whole files. Elasticsearch-compatible and cuts token usage for agents.

- Magnitude: 3.2 out of 10 — Breakout
- Stars: 2,921 total · +58 stars measured 2026-10-07, 11:04–12:42 UTC, ≈ 103 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Rust · License: Apache-2.0 · Created: 2026-06-30 · Last push: 2026-10-07
- GitHub: https://github.com/xerj-org/xerj · Homepage: https://xerj.org · Page: https://gitnova.dev/en/r/xerj-org/xerj

## Useful for

- Index a repository and find relevant code passages by query with file:line
- Set up reference coding: clone and index similar OSS projects so the agent reuses solutions
- Run a security audit by indexing a file tree and querying for dangerous calls and secrets

## Why it’s here

- Star-counter measurements on 2026-10-07 (UTC), 11:04–12:42: 2863 → 2921 stars (+58). This is the change over that interval.
- Estimated end-of-day forecast: about +103 stars, using observed gains and the previous day.
- Over the last two days the pace is 3.7× that of the previous week and a half.
- GitHub Trending Rust today: #13, +185 stars.
- Recent forks include notable developers: @BunsDev (852 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 235
- Issues and pull requests: 1,205
- Watchers: 8
- Average over the last week: 44 per day
- Usual pace: 36 per day
- Stars in the last hour (measured): 23
- Latest release: pack-rust-vulns-2026-10-07 (2026-10-07)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-08 … 2026-10-07: 9, 8, 4, 3, 1, 0, 3, 7, 3, 0, 16, 48, 170, 153, 97, 42, 56, 27, 19, 20, 10, 21, 33, 20, 16, 32, 23, 31, 85, 58

## Spotted in now

- GitHub Trending Rust today: #13, +185 stars

## More in this category

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   A reverse-engineering tool that lets AI agents inspect apps and native binaries: it connects agents to Hopper or Ghidra via MCP and CLI, helping explain how a feature works and rebuild it in your own project.
   Full card: https://gitnova.dev/en/r/morluto/rea.md
2. **lexmount/moli** — 7.8 · Breakout · AI agents · Rust · +833 stars measured 2026-10-07, 00:19–12:38 UTC, ≈ 1,590 by evening
   Moli is a headless browser written in Rust for AI agents, combining a full browser runtime with on-demand layout and rendering to keep resource use low. It fetches and extracts web pages, searches the web, and automates browser tasks via…
   Full card: https://gitnova.dev/en/r/lexmount/moli.md
3. **nykooi1/vibe-wise** — 7.3 · Breakout · AI agents · Python · +322 stars measured 2026-10-07, 00:19–12:38 UTC, ≈ 644 by evening
   A Claude Code plugin that makes the AI ask for your approach first, discuss tradeoffs, and explain unfamiliar concepts, writing code only after your confirmation. For anyone who wants to learn design while AI writes the code.
   Full card: https://gitnova.dev/en/r/nykooi1/vibe-wise.md
4. **rehan-remade/universal-modder** — 7.0 · Peaking · AI agents · Python · +304 stars measured 2026-10-07, 00:19–12:38 UTC, ≈ 610 by evening
   A set of skills, tools and the fal MCP for Claude Code that lets it mod almost any PC game: engine recon, reverse engineering, asset generation, in-game testing and showcase video recording.
   Full card: https://gitnova.dev/en/r/rehan-remade/universal-modder.md
5. **thedotmack/claude-mem** — 6.9 · Breakout · AI agents · TypeScript · +267 stars measured 2026-10-07, 00:19–12:38 UTC, ≈ 514 by evening
   Persistent memory system for Claude Code and other agents: it captures agent actions via lifecycle hooks, compresses them into semantic summaries, and injects relevant context into future sessions.
   Full card: https://gitnova.dev/en/r/thedotmack/claude-mem.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-07 12:58 UTC, updated every 30 minutes.