The Kimi Drop: How We Built Feature Parity in 18 Hours
Last week, we analyzed Kimi Clawβa competitor with impressive features like scheduled tasks, skill libraries, and advanced AI models. Today, we're shipping everything they have, plus more. Here's how we did it.
The Challenge
Kimi Claw launched with a compelling feature set:
- Moonshot AI's K2.5 Thinking model (128K context)
- 5,000+ ClawHub skills library
- Scheduled automation tasks
- 40GB cloud storage
- Persistent agent memory
They positioned themselves as the "all-in-one AI agent platform." But they had one weakness: web-only deployment. No Telegram, no Discord, no WhatsApp.
Our Response: The Kimi Drop
We decided to match their features while keeping our core advantages. The goal: ship everything in one massive update. We called it "The Kimi Drop."
Phase 1: Foundation (6 hours)
First, we added the K2.5 Thinking model and built the scheduled tasks system:
- Integrated Moonshot AI's K2.5 model via OpenRouter
- Created ScheduledTask database model with cron scheduling
- Built task management UI with create/edit/delete
- Added AgentMemory and AgentFile schemas
Code Snippet: Scheduled Task Model
model ScheduledTask {
id String @id @default(cuid())
userId String
agentId String
name String
cronSchedule String
prompt String
enabled Boolean @default(true)
lastRun DateTime?
nextRun DateTime?
}Phase 2: Core Features (6 hours)
Next, we built the skill marketplace and personality system:
- Created skill marketplace with 10 pre-built skills
- Added file storage UI with 10GB free tier
- Built 5 personality types (Professional, Friendly, Technical, Creative, Concise)
- Implemented memory persistence API
Phase 3: Advanced Features (6 hours)
Finally, we added features Kimi Claw doesn't even have:
- Natural language scheduling: "every day at 9am" β cron
- Agent swarms: multi-agent coordination
- Visual workflow builder: drag-drop automation
Innovation: Natural Language Scheduling
Instead of forcing users to learn cron syntax, we built a parser that converts natural language to cron:
- "every day at 9am" β "0 9 * * *"
- "every monday at 2pm" β "0 14 * * 1"
- "every 6 hours" β "0 */6 * * *"
The Results
Feature Comparison
| Feature | Kimi Claw | Agentbot |
|---|---|---|
| K2.5 Model | β | β |
| Scheduled Tasks | β | β + Natural Language |
| Skill Library | β 5,000+ | β Growing |
| File Storage | β 40GB | β 10GB free, 50GB pro |
| Custom Personalities | β | β |
| Multi-Channel | β Web only | β Telegram, Discord, WhatsApp |
| Multi-Model | β K2.5 only | β GPT, Claude, Gemini, Groq, Kimi |
| Agent Swarms | β | β |
| Visual Workflows | β | β |
| Open Source | β | β OpenClaw |
What We Learned
1. MVP Everything
We didn't build perfect features. We built working MVPs that users can try today. The skill marketplace has 10 skills, not 5,000. But it works, and we can grow it.
2. Database-First Design
By designing the database schema first, we could rapidly build APIs and UIs. The schema became our contract.
3. Competitive Analysis Works
Studying Kimi Claw gave us a clear roadmap. We knew exactly what to build and could prioritize ruthlessly.
Try It Now
All features are live. Log in and explore:
- π Tasks - Schedule your first automation
- π§ Skills - Install pre-built capabilities
- π¨ Personality - Customize your agent's tone
- π€ Swarms - Deploy multi-agent teams
- β‘ Workflows - Build visual automations
Ready to experience the Kimi Drop?
Deploy AI agents anywhere, with any model, in 60 seconds.
Go to Dashboard βWant to see the code? Check out our GitHub repo or read the full feature announcement.