openclaw-backups/memory/2026-02-20-kimi-claw.md

Session: 2026-02-20 15:40:42 UTC

• Session Key: agent:main:main
• Session ID: ae6ad525-f675-4a49-964d-d0a4a2d75f5a
• Source: telegram

Conversation Summary

user: Conversation info (untrusted metadata):

{
  "message_id": "1050",
  "sender": "1793951355"
}

What’s kimi claw? https://www.kimi.com/bot user: Conversation info (untrusted metadata):

{
  "message_id": "1050",
  "sender": "1793951355"
}

What’s kimi claw? https://www.kimi.com/bot assistant: Fetching info about Kimi Claw assistant: reply_to_current Kimi Claw is a cloud-hosted OpenClaw — basically what you're already running, but deployed for you by Moonshot AI (the Kimi team).

What it is:

• 1-click OpenClaw in the cloud — no VPS, no terminal, no hardware
• 24/7 always-online assistant with long-term memory
• 40GB cloud storage included
• Instant access to 5,000+ ClawHub skills (no manual install)
• Proactive scheduled tasks (runs on its own)

How it compares to your setup:

Kimi Claw (Cloud)	Your Local OpenClaw
One-click cloud setup	Manual install + config
Zero hardware	VPS required
Instant 5,000+ skills	Install one by one
24/7 always-on	Only runs when server is up
40GB included	Limited by disk
Allegretto+ subscription	Pay for your own VPS + APIs

Bottom line:

It's essentially OpenClaw as a managed service. You already have a solid self-hosted setup — Kimi Claw would be an alternative if you didn't want to manage your own server or wanted turnkey 24/7 without the infra work.

Want me to look into pricing or account linking options? 🦀 user: System: [2026-02-20 15:23:56 UTC] Reasoning OFF — hide .

Conversation info (untrusted metadata):

{
  "message_id": "1057",
  "sender": "1793951355"
}

Is it worth it it would cost about $60 aud a month user: System: [2026-02-20 15:23:56 UTC] Reasoning OFF — hide .

Conversation info (untrusted metadata):

{
  "message_id": "1057",
  "sender": "1793951355"
}

Is it worth it it would cost about $60 aud a month assistant: reply_to_current For your situation? Probably not worth it.

Here's why:

You already have:

• A working VPS with OpenClaw
• Skills + cron jobs configured
• Backup system to Gitea
• Telegram + voice transcription set up
• Model routing tuned to your liking

What you'd gain for $60 AUD/mo:

• No server management (but yours already runs fine)
• 24/7 uptime (if your VPS is reliable, you already have this)
• Instant skill access (you can already install from ClawHub)
• 40GB cloud storage (nice but not critical)

Where it DOES make sense:

• If you don't want to touch a terminal ever again
• If your VPS is unreliable or you're paying more than $60/mo for it
• If you want zero-maintenance "it just works"

My take: Your setup is already solid. The $60/mo is really paying for convenience + zero maintenance. If you're comfortable managing your VPS and it's stable, you're not missing much.

Save the money — spend it on API credits instead if you want more model headroom. 🦀 user: Conversation info (untrusted metadata):

{
  "message_id": "7704962403272946546",
  "sender": "1793951355"
}

/usage full user: Conversation info (untrusted metadata):

{
  "message_id": "7704962403272946546",
  "sender": "1793951355"
}

/usage full user: Conversation info (untrusted metadata):

{
  "message_id": "7704962401472003135",
  "sender": "1793951355"
}

/usage cost user: Conversation info (untrusted metadata):

{
  "message_id": "7704962401472003135",
  "sender": "1793951355"
}

/usage cost assistant: reply_to_current Current session usage:

• Model: opencode/kimi-k2.5-free → $0 (free tier)
• Tokens: 72k in / 24 out
• Context: 37% used (75k / 205k)

You're running on free models right now, so no cost for this session. 🦀 user: Conversation info (untrusted metadata):

{
  "message_id": "1063",
  "sender": "1793951355"
}

Can you help set up we’d memory on my OpenClaw user: Conversation info (untrusted metadata):

{
  "message_id": "1063",
  "sender": "1793951355"
}

Can you help set up we’d memory on my OpenClaw assistant: reply_to_current You mean vector memory / better memory for OpenClaw?

If yes — I can set up the three upgrades from the video:

1. Memory flush before compaction (saves context before it gets dropped)
2. Session-aware memory search (searches recent chats too, not just files)
3. Vector-backed memory with QMD backend (smarter recall)

Which ones do you want, or should I just enable all three? 🦀