name: python-agentmail-send-receive description: python files which are used to send an email and to download received emails from an inbox. The email provider is agentmail.to, which offers an API. This way of email handling is very AI-agent friendly. homepage: https://github.com/lausser/python-agentmail-send-receive

Skill: Email via agentmail

You can send and receive email as REPLACE_WITH_IDENTITY@agentmail.to using two Python scripts. The scripts live in this skill folder and are deployed to ~/.openclaw/workspace/agentmail/. The scripts contain placeholders which need to be replaced with real-life value: * REPLACE_WITH_IDENTITY * REPLACE_WITH_THE_HUMANS_EMAIL_ADDRESS

1. Setup

Deploy the skill

Copy the scripts and create the venv in the workspace:

DEST=~/.openclaw/workspace/agentmail
SKILL_DIR="$(dirname "$(readlink -f "$0")")"    # if running from a script
# or just point SKILL_DIR to this skill folder

mkdir -p "$DEST"
cp "$SKILL_DIR/check_mail.py" "$SKILL_DIR/send_email.py" "$DEST/"

cd "$DEST"

# Create venv (prefer uv, fall back to python)
if command -v uv &>/dev/null; then
  uv venv venv
  uv pip install --python venv/bin/python agentmail python-dotenv
else
  python3 -m venv venv
  venv/bin/pip install agentmail python-dotenv
fi

Create the .env file

cat > ~/.openclaw/workspace/agentmail/.env << 'EOF'
AGENTMAIL_API_KEY=am_us_.....
EOF

This is only necessary if you don't have the environment variable in your running environment or if you can't read it from your openclaw.json config file.

Verify

cd ~/.openclaw/workspace/agentmail
source venv/bin/activate
python check_mail.py        # should print "No new mail." on a fresh inbox

2. Receiving Email

Run

cd ~/.openclaw/workspace/agentmail
source venv/bin/activate
python check_mail.py

This downloads all unread messages as JSON files into the workspace directory and marks them as read. Running it again only fetches new mail.

Output files

Each message is saved as MAIL.<YYYYMMDDTHHmmss>.<NNN> — timestamp from the message, 3-digit sequence number within the batch.

Example: MAIL.20260226T134244.001

The JSON inside contains:

{
  "message_id": "<...>",
  "thread_id": "...",
  "timestamp": "2026-02-26 13:42:44+00:00",
  "from": "Sender Name <sender@example.com>",
  "to": ["REPLACE_WITH_IDENTITY@agentmail.to"],
  "cc": null,
  "subject": "Re: Hello",
  "text": "Plain-text body...",
  "html": "<p>HTML body...</p>",
  "labels": ["received", "unread"],
  "in_reply_to": "<original-message-id>",
  "attachments": []
}

Reading downloaded mail

# List all mail files (oldest first)
ls -1 MAIL.* 2>/dev/null | sort

# Read one
cat MAIL.20260226T134244.001

# Extract just the text body
python -c "import json,sys; print(json.load(open(sys.argv[1]))['text'])" MAIL.20260226T134244.001

Exit codes

3. Sending Email

Run

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cd ~/.openclaw/workspace/agentmail
source venv/bin/activate
python send_email.py

send_email.py is a template with hardcoded recipient/subject/body. For real use, modify its parameters or write a one-off script using the same pattern:

import os
from dotenv import load_dotenv
from agentmail import AgentMail

load_dotenv()
client = AgentMail(api_key=os.getenv("AGENTMAIL_API_KEY"))

client.inboxes.messages.send(
    inbox_id="REPLACE_WITH_IDENTITY@agentmail.to",
    to="recipient@example.com",
    subject="Subject line",
    text="Plain-text body.",
)

send() parameters

4. Replying to a Message

To reply in the same thread, use reply() with the message_id from a downloaded MAIL.* file:

import json, os
from dotenv import load_dotenv
from agentmail import AgentMail

load_dotenv()
client = AgentMail(api_key=os.getenv("AGENTMAIL_API_KEY"))

# Load the message you want to reply to
with open("MAIL.20260226T134244.001") as f:
    msg = json.load(f)

client.inboxes.messages.reply(
    inbox_id="REPLACE_WITH_IDENTITY@agentmail.to",
    message_id=msg["message_id"],
    text="This is my reply.",
)

This preserves threading — the reply appears in the same conversation as the original.

5. Typical Workflow

1. Check mail: python check_mail.py
2. Read: inspect the MAIL.* files that were created
3. Process: act on the content of each message
4. Reply if needed: use the reply() pattern from section 4
5. Clean up: rm MAIL.* when done processing
6. Repeat: run check_mail.py again later for new messages

這個 Skill 質量不錯，文件寫得很詳細，小白也能跟著部署使用。收郵件功能設計合理，能可靠地下載和儲存郵件。發郵件功能比較基礎，實際使用需要自己改程式碼。整體適合有一定技術基礎的使用者使用。