What is agentor AGENTS.md?

Project instructions for Agentor, an open-source framework for building AI agents that connect language models to services such as email, calendars, and CRMs. They describe the project, its repository layout, setup, and prerequisites.

Setting up Agentor, finding its source files, understanding its agent, tool, MCP, and A2A components, and making changes within the repository.

They give a coding agent the background needed to navigate the Agentor codebase and follow its development process. This reduces confusion about where code belongs and how the project works.

How CelestoAI/agentor configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to CelestoAI/agentor. 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/CelestoAI/agentor/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/CelestoAI/agentor

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/celestoai/agentor/agents-md/github.svg)](https://agentmods.dev/instructions/celestoai/agentor/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/celestoai/agentor/agents-md"><img src="https://agentmods.dev/badge/instructions/celestoai/agentor/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/celestoai/agentor/agents-md"><img src="https://agentmods.dev/badge/instructions/celestoai/agentor/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,495 This file is loaded in full into every session.

When invoked 2,495 The same file — it is already loaded in full.

Security scan C 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.02495	$0.02495
Opus 5.5	$0.00998	$0.00998
Sonnet 5.5	$0.00499	$0.00499
Haiku 4.5	$0.00249	$0.00249

Measured 21d ago against content hash 409fc7eb157c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

agentor AGENTS.md scanned grade C with 1 finding 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 21d 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- This file is the single source of contributor guidance. .github/copilot-instructions.md points here rather than duplicating it: the two were kept "in sync" by hand, drifted anyway, and both went on describing subsys

AGENTS.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentor

Project Overview

Agentor is an open-source framework for building AI agents with secure integrations across email, calendars, CRMs, and more. It connects LLMs to tools and services, and speaks both the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.

Since v0.1.0 it runs on its own agent engine; the openai-agents dependency is gone. See docs/dev/MIGRATION_PLAN.md for why.

Key Features:

An agent loop the project owns end to end, emitting a typed event stream
Durable runs: the event stream is persisted, so a run resumes after a crash
Any OpenAI-compatible provider via base_url, with litellm as the escape hatch
LiteMCP - FastAPI-compatible MCP server with decorator API
A2A Protocol support for agent interoperability
Tool registry and extensible tool system

Repository Structure

agentor/
├── src/agentor/           # Main package source code
│   ├── core/              # Agentor, the user-facing agent class
│   ├── engine/            # The agent loop: events, tools, models, store, tracing, mcp
│   ├── mcp/               # LiteMCP server, API router, proxy
│   ├── tools/             # Tool registry and implementations
│   ├── durable/           # Deprecation shim; durability moved into engine/store.py
│   ├── a2a.py             # Agent-to-Agent protocol
│   ├── skills.py          # Agent Skills loading
│   └── tool_search.py     # Tool Search API
├── tests/                 # Test suite
├── examples/              # Usage examples
├── docs/dev/              # Design and migration records
├── .github/               # GitHub configuration and workflows
└── pyproject.toml         # Project metadata and dependencies

Development Setup

Prerequisites

Python 3.11 or higher
pip or uv package manager

Installation

Clone the repository:

git clone https://github.com/CelestoAI/agentor.git
cd agentor

Install dependencies using uv (recommended):

pip install uv
uv venv
uv sync

Read the full file on GitHub · 346 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.

21d ago Changed · -1 lines · -22 tokens per session 409fc7eb157c
2mo ago First seen · 347 lines · 2,517 tokens per session scan C e90d4a70e864

Subscribe to this mod's changes

agentor AGENTS.md is an instructions file published in the GitHub repository CelestoAI/agentor (214 stars, last pushed 2d ago), licensed Apache-2.0. It adds 2,495 tokens to every session, about $0.0100 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

agents ai-agents ai-assistant ai-tools llms mcp

agentor AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agentor AGENTS.mdCelestoAI/agentor	Instructions file	214	2d ago	Apache-2.0	C	2,495	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

agentor: Instructions file for Codex