mixai AGENTS.md

Project instructions for MixAI, a tool that stores searchable memory about past project decisions and constraints. They tell the coding agent to check that memory before re-examining the repository and save important new decisions.

In plain words
What is it for?
Use them to search or reload MixAI memory, save durable decisions, and prepare a handoff to another coding agent when limits are reached.
Why use it?
They reduce repeated investigation and help the agent retain relevant project context after earlier work or a reset.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/thinhledev/mixai/agents-md
Clone the repo
git clone --depth 1 https://github.com/thinhledev/mixai

Made for: Codex, OpenCode.

Per session 253 This file is loaded in full into every session.
When invoked 253 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00253 $0.00253
Opus 5 $0.00127 $0.00127
Sonnet 5 $0.00051 $0.00051
Haiku 4.5 $0.00025 $0.00025

Measured 2d ago against content hash 680059722c50, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mixai 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 2d 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 · 6 lines

What it actually says

Mixai project memory

This project has persistent local memory managed by mixai. Before re-exploring the repository from scratch, check it first: use the memory_search MCP tool or mixai memory search "<topic>" for past decisions, constraints, and outcomes (results are compact previews — drill in with memory_get or mixai memory show <id>). Record new durable decisions the moment they are made with the memory_save MCP tool. If your context feels thin after a compaction or reset, run mixai brief (or the context_brief MCP tool) to reload the latest objective, live workspace state, and the most relevant project memory without re-reading the repository. If you or the user hit a usage or rate limit, or the user asks to switch coding agents, call list_handoff_targets to see which other agents (Codex, Claude Code, Cursor, Antigravity) are installed and ready right now, then — only after the user confirms — call switch_to_provider to hand off: it checkpoints this session's work and launches the target agent with a continuation prompt.

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. 2d ago First seen · 6 lines · 253 tokens per session scan A 680059722c50

Subscribe to this mod's changes

mixai AGENTS.md is an instructions file published in the GitHub repository thinhledev/mixai (2 stars, last pushed 18d ago), licensed MIT. It adds 253 tokens to every session, about $0.0013 per session on Opus 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.