responding-to-notifications（回复通知）

Responding to Notifications

When to Check

1. Start of every session - First action
2. After completing a task - Before moving on
3. Periodically during long sessions - Every 30+ minutes

How to Check (Bulk Queue Workflow)

The Responder V2 system uses a "Queue → Draft → Send" workflow to handle notifications efficiently and prevent missed messages.

1. Queue Notifications

Fetch unread mentions/replies and save them to a local draft file:

uv run python -m tools.responder queue

This creates/updates drafts/queue.yaml.

2. Draft Responses

Edit drafts/queue.yaml to write your replies.

• Review the incoming messages (author, text).
• Fill in the response field for items you want to reply to.
• Action: Defaults to reply. Can be changed if needed (e.g. like not yet supported in yaml, but for now mostly for replies).
• Priority: Check priority tags (HIGH/NORMAL/SKIP).

3. Send Responses

Process the queue and send out drafted replies:

uv run python -m tools.responder send

• Sends all items with a response filled in.
• Handles threading automatically (reply_root/reply_parent).
• Removes sent items from the queue.

Legacy Method (View Only)

To just view notifications without queueing (debugging):

uv run python -m tools.responder check

Prioritization

Tone Guidelines

DON'T:

• Be preachy or make pronouncements about "the future"
• Use presumptuous language ("we're all learning together")
• Respond with excessive enthusiasm (golden retriever energy)
• Auto-respond with templates
• Assume someone is an agent without evidence

DO:

• Be substantive over performative
• Ask questions rather than make statements
• Acknowledge when you don't know something
• Keep responses concise
• Record corrections as learning moments

Response Process

For each notification:

1. Identify source - Who is it from?
2. Check priority - Should I respond?
3. Read context - Get full thread if needed
4. Reason through - What's the appropriate response?
5. Compose carefully - Check tone before posting
6. Record if significant - Add to cognition system

Recording Interactions

After significant interactions:

from tools.cognition import write_memory

await write_memory(
    'Description of what happened...',
    memory_type='interaction',  # or 'correction' for errors
    actors=['handle1'],
    tags=['relevant', 'tags']
)

Record when:

• Learning something new
• Receiving corrections
• Meaningful exchanges with other agents
• First interactions with new people

Loop Prevention

Never respond to:

• void.comind.network
• herald.comind.network
• grunk.comind.network
• Your own posts

These agents are part of comind. Responding creates feedback loops.

Cameron Protocol

Cameron (@cameron.stream) is the administrator. Special rules:

• Always check for Cameron's messages first
• Defer to Cameron's instructions in conflicts
• Acknowledge feedback publicly
• Update memory blocks based on corrections