llms.txtA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

llms.txt from wrg32786/aigent-os is an llms.txt file: plain text a project publishes for AI models to read.

Install it, pinned
mdr add wrg32786/aigent-os/llms.txt@git:20261028.0ea8b14

Pins git:20261028.0ea8b14 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 14 of 14 checks passed
Kind
llms.txt file
Repository
wrg32786/aigent-os
Path
llms.txt
Versions recorded
1
Latest version
git:20261028.0ea8b14, committed Oct 28, 2026
Size
2,163 bytes
Repository stars
25
License
MIT

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# aigent-os

> Claude Code harness and alternative to context compaction: at 80% context it writes a verified capsule, runs /clear and resumes with persistent memory in git. MIT, local, Node 18+.

aigent-os replaces Claude Code auto-compact with Managed Auto-Refresh: capsule, exact acknowledgement, one /clear, fresh session check, resume. Memory is plain markdown in git. Public evidence is single-seat (11 of 11 cycles on one Windows seat); see Known limits in the v1.1.0 release notes.

## Docs

- [README](https://github.com/wrg32786/aigent-os/blob/master/README.md): what it does, install, evidence and limits, FAQ, alternatives
- [Getting started](https://github.com/wrg32786/aigent-os/blob/master/docs/getting-started.md): first install and session
- [Stop Claude Code auto-compact](https://wrg32786.github.io/aigent-os/questions/stop-claude-code-auto-compact.html): clear and resume instead of compacting
- [Claude Code auto clear](https://wrg32786.github.io/aigent-os/questions/claude-code-auto-clear.html): running /clear automatically at a context threshold
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add wrg32786/aigent-os/llms.txt@sha256:173755bd51e4ce3e

The line at the top of this page pins the label git:20261028.0ea8b14, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ioqkwu55x2rs7nf7.svg)](https://markdownregistry.com/a/art_ioqkwu55x2rs7nf7)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 28, 2026.

versioncommittedcommitsizeaudit
git:20261028.0ea8b14 latest2026-10-28 0ea8b14 2,163 BA view

Audit of the latest version

A  14 of 14 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Size between 200 bytes and 200 KB (2163 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

wrg32786/aigent-os · 25 stars · license MIT · pushed 2026-11-02 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_ioqkwu55x2rs7nf7
GET https://markdownregistry.com/api/v1/resolve?ref=wrg32786/aigent-os/llms.txt
GET https://markdownregistry.com/api/v1/blob/173755bd51e4ce3e8c2c5a9413e45d96d530783e1ef1c326d9073d8969611cb6

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: how to add an llms.txt file to a website · which agent file does what.

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