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vmikhailovvmikhailov/code-explorer/site/llms.txt

code-explorer / site

llms.txt17 starsChanged 6 days agoMITView on GitHub

Make AI coding agents production-safe. AI agents see files, not architecture. CodeExplorer gives your agents and engineers a live cross-service map of every API, queue, and database in VS Code & MCP—plus hard architectural guardrails in CI, powered by a 100% local SQLite OpenCypher graph.

  • Installs packages

The file

We split this llms.txt into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run as an MCP server (stdio): ce mcp — see the MCP server card

    line 11

≈ “Common” is an estimate: at least 1 in 5 of the 3,592 llms.txt files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
llms.txt
# CodeExplorer (ce)

> Make AI coding agents production-safe. AI agents see files, not architecture. CodeExplorer gives your agents and engineers a live cross-service map of every API, queue, and database in VS Code & MCP—plus hard architectural guardrails in CI, powered by a 100% local SQLite OpenCypher graph.

## Get started

- Install (NuGet global tool): `dotnet tool install -g codeexplorer.cli`
- Install (Homebrew): `brew install vmikhailov/tap/ce`
- Index a repository: `ce scan --init`
- Query the graph: `ce query "MATCH (p:Project) RETURN p.name"`
- Run as an MCP server (stdio): `ce mcp` — see the [MCP server card](https://code-explorer.app/.well-known/mcp/server-card.json)

## Docs

- [Ontology (node and edge types)](https://github.com/vmikhailov/code-explorer/blob/main/docs/ontology.md)
- [Sample projects](https://github.com/vmikhailov/code-explorer/blob/main/docs/sample-projects.md)
- [README](https://github.com/vmikhailov/code-explorer#readme)
- [Releases](https://github.com/vmikhailov/code-explorer/releases)

## Distribution

- [NuGet: CodeExplorer.Cli](https://www.nuget.org/packages/CodeExplorer.Cli)
- [VS Code Marketplace](https://marketplace.visualstudio.com/items?itemName=vmikhailov.code-explorer-vscode)
- [Open VSX](https://open-vsx.org/extension/vmikhailov/code-explorer-vscode)

## Optional

- [Presentation](https://code-explorer.app/presentation.html)

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free