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What you can do with Xerj

XERJ is a local-first search engine and MCP server that indexes code, docs, logs and PDFs so AI agents can search them instead of grepping files.

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xerj-org/xerj on GitHub

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

What do you want to do?

5 use cases

  • Let your coding agent search a repo by meaning

    Index a project once so an agent pulls exact passages with file:line instead of reading files one by one.

    View prompt
    Use the XERJ repo (xerj-org/xerj) to index <project path> with xerj autoindex, then answer the question <question> using xerj search and cite the file:line results. Verify that each cited line exists in the file before you answer.

  • Have an agent learn from similar open-source code first

    Index OSS projects close to your task so the agent reuses how others solved it before writing code.

    View prompt
    Clone the open-source repos closest to <task> into ./oss-references, index them with xerj autoindex ./oss-references, and retrieve how they solve <task> before writing code. Expected output: the new code plus a list of the file:line passages it used. Verify that the license of each referenced repo is noted.

  • Search a source tree for secrets and dangerous calls

    Index one tree and query it for sink patterns, secrets and risky calls across every file type at once.

    View prompt
    Index <target path> with xerj autoindex and run xerj search for secrets and dangerous-call patterns. Expected output: a table of hits with file:line and a verdict per hit. Verify each hit by opening the cited line before reporting it.

  • Search mixed logs with an Elasticsearch-compatible API

    Index mixed log and data files into typed indices and query them with any Elasticsearch client.

    View prompt
    Index <log directory> with xerj autoindex and answer <incident question> by querying the Elasticsearch-compatible API on http://localhost:9200. Expected output: the matching records and the index names used. Verify the record count against the indexing summary.

  • Give an agent memory that survives between sessions

    Store what an agent learns in a namespace and recall it by meaning in the next session.

    View prompt
    Use XERJ's /_memory/notes API on http://localhost:9200 as long-term memory for <project>: store each decision you make, and recall relevant notes at the start of the session. Expected output: a short list of recalled notes with their dates. Verify that the notes returned match the stored text.

How to use Xerj

  1. Check you have what it needs: A Linux, macOS or Windows machine on x86-64 or arm64; A local folder of code, docs, logs or PDFs to index; Claude Code or Cursor if you want the MCP and skill setup from xerj init.
  2. Open xerj-org/xerj on GitHub and read the README and license.
  3. curl -fsSL https://xerj.org/get | sh
  4. xerj --insecure --data-dir ~/xerj-data &
  5. xerj init
  6. xerj autoindex ~/my-project

These steps come from our top use case, Let your coding agent search a repo by meaning, which also has a copy-paste agent prompt.

Xerj alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and coding-agent users who want an agent to find exact code, docs or logs without reading whole files into context.
  • Why it is hot
  • LanguageRust
  • Sourcegithub.com/xerj-org/xerj · Back to Hot repos

Requirements

  • A Linux, macOS or Windows machine on x86-64 or arm64
  • A local folder of code, docs, logs or PDFs to index
  • Claude Code or Cursor if you want the MCP and skill setup from xerj init
  • A terminal with curl and a shell

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Questions about Xerj

What is Xerj?

XERJ is a local-first search engine and MCP server that indexes code, docs, logs and PDFs so AI agents can search them instead of grepping files. It is an open-source project on GitHub: https://github.com/xerj-org/xerj.

Who is Xerj for?

Developers and coding-agent users who want an agent to find exact code, docs or logs without reading whole files into context.

What can I do with Xerj?

5 use cases so far, for example: Let your coding agent search a repo by meaning; Have an agent learn from similar open-source code first; Search a source tree for secrets and dangerous calls. Each has steps and a copy-paste agent prompt.

What do I need to run Xerj?

A Linux, macOS or Windows machine on x86-64 or arm64; A local folder of code, docs, logs or PDFs to index; Claude Code or Cursor if you want the MCP and skill setup from xerj init; A terminal with curl and a shell.

What are alternatives to Xerj?

Other hot AI repos in Software and DevOps: Omarchy Local AI, Hermes Plan Mode, Agent 2, Agnes Harness, Skills.

Is Xerj safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.