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trailmem: Instructions file for Codex

AGENTS.md

trailmem AGENTS.md is an instructions file for Codex, OpenCode from amitnexTech/trailmem. It costs 1,648 tokens per session, scanned A, original, MIT.

Project instructions for trailmem, a local-first system that stores connected code knowledge and persistent memory for AI coding agents. The instructions define the startup routine, tool choices, and rules for consulting prior decisions and documentation.

In plain words
What is it for?
Use them when working on the trailmem repository. They tell the agent to read the build log and relevant documentation, query stored project memory before substantial work, and choose the appropriate tools.
Why use it?
They help an agent recover project context between sessions and avoid repeating decisions or ignoring established design rules.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md; mentions Codex.

This is amitnexTech/trailmem's own configuration. It tells Codex and OpenCode how to work on trailmem itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything trailmem configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/amit/trailmem.

not rated 1repo 3mo ago A scan 1,648 tokens original MIT
View source ↗ amitnexTech/trailmem pypi.org
Reuse

Borrowing it

Nothing to install: this file belongs to amitnexTech/trailmem. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/amitnexTech/trailmem/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/amitnexTech/trailmem

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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Per session 1,648 This file is loaded in full into every session.
When invoked 1,648 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01648 $0.01648
Opus 5.5 $0.00659 $0.00659
Sonnet 5.5 $0.00330 $0.00330
Haiku 4.5 $0.00165 $0.00165

Measured 2mo ago against content hash f90341c10d8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trailmem AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

trailmem — Agent Guide

trailmem is a local-first, graph-linked persistent-memory MCP server for AI coding agents (Python, open-source, MIT). This repo is in the design → implementation transition: the full spec is locked (Q1–Q16); code is being written now.

This file is the single source of truth for any coding agent working here. CLAUDE.md just imports it (@AGENTS.md); other agents (Codex, Kiro, Kilo, OpenCode, Cursor, Gemini) read this file directly.

Session boot sequence — do this first

  1. Read the auto-loaded build-log memory (MEMORY.md for Claude; the trailmem MCP briefing block if a pinned/briefing is already injected into context). Do NOT call trailmem_welcome if a briefing is already present — it just wastes tokens.
  2. Read the relevant docs/ page for the task (via the open-knowledge MCP, see below) before touching code.
  3. Before non-trivial work, query trailmem for prior decisions/lessons instead of re-deriving state or re-asking: trailmem_query("<topic>"). Check the pinned constraints first — they carry standing rules.
  4. Only then start work. Not doing steps 1–3 is a known cause of re-deriving locked design and token burn.

Tool usage rules — pick the right tool for the question

Question type Use this NOT this
Codebase / file relationships / "how does X work" graphify (graphify_query_graph, graphify_shortest_path, graphify_get_node) — graph lives at graphify-out/graph.json raw grep/Glob/source reading from scratch
Design spec / docs/*.md open-knowledge MCP (mcp__open-knowledge__search, mcp__open-knowledge__exec) — start at docs/index.md native Read/Grep/Glob on docs/*.md
Past decisions / lessons / cross-session context trailmem MCP (trailmem_query, trailmem_show) re-asking the user, or guessing
Storing a decision/lesson/task trailmem MCP trailmem_store (English, project-scoped path /home/amit/trailmem, link every memory) only file-notes that never reach trailmem

Read the full file on GitHub · 76 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 76 lines · 1,648 tokens per session scan A f90341c10d8e

Subscribe to this mod's changes

trailmem AGENTS.md is an instructions file published in the GitHub repository amitnexTech/trailmem (1 stars, last pushed 3mo ago), licensed MIT. It adds 1,648 tokens to every session, about $0.0066 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agentsMemory and contextai-agentsclaudeembeddingsknowledge-graphlocal-firstmcp
Related

trailmem AGENTS.md compared with instructions from other repositories

trailmem AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
trailmem AGENTS.mdamitnexTech/trailmemInstructions file13mo agoMITA1,648Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode