Kimi Claw is Moonshot AI’s managed OpenClaw service—one-click deployment of autonomous agents running on Kimi K2.5 Thinking. Currently in beta, it requires Allegretto subscription ($39/month).

The tradeoff: Managed deployment eliminates setup complexity but introduces cloud dependency and data handling considerations. For full control, self-hosted OpenClaw remains the alternative.


What Kimi Claw Does

Kimi Claw deploys OpenClaw agents to Moonshot’s cloud infrastructure with zero configuration:

FeatureDescription
One-click deployNo Docker, no VPS, no CLI setup
Kimi K2.5 ThinkingPre-configured with advanced reasoning model
Pre-built skillsReady-to-use capabilities on launch
Multi-platformWhatsApp, Telegram, Slack, Discord integrations
24/7 runtimeCloud-hosted, always online

Key difference from self-hosted: Moonshot manages the infrastructure—you manage the agent behavior.


Access Requirements

**Paywall:** Kimi Claw is exclusive to Allegretto tier ($39/month) and above. Not available on Moderato ($19) or free tiers.

Access path:

  1. Subscribe to Allegretto at kimi.com/code
  2. Navigate to kimi.com/bot
  3. Select “Create Kimi Claw” from dashboard

Alternatives if $39 is prohibitive:


Managed vs Self-Hosted: Tradeoff Matrix

FactorKimi Claw (Managed)Self-Hosted OpenClaw
Setup timeMinutesHours (Docker, VPS, config)
Monthly cost$39+ Allegretto$5-50 VPS + API costs
Data controlMoonshot cloudYour infrastructure
CustomizationLimited to exposed optionsFull gateway/skill control
UptimeMoonshot-managedYou manage
Security burdenShared (trust Moonshot)Full responsibility
Model choiceK2.5 onlyClaude, GPT, local models

Choose managed if you value speed over control and accept cloud data handling.
Choose self-hosted if you need data sovereignty, custom models, or maximum security control.


Security Considerations

Same risks, different owner:

  • Prompt injection — Identical to self-hosted; connected chat apps are attack surfaces
  • Privileged access — Agent runs with cloud permissions you don’t fully control
  • Data residency — Code/data processed on Moonshot infrastructure (Chinese company)
  • Fetch-and-follow — Platform integrations create external control paths

See /risks/openclaw/architecture-risk/ for detailed threat model—applies to both deployment modes.

**Data handling:** Moonshot AI is a Chinese company. Review [Kimi data handling risks](/risks/kimi/) before connecting sensitive repositories or communications.

When to Use Kimi Claw

Good fits:

  • Experimenting with OpenClaw without infrastructure investment
  • Teams lacking DevOps resources for self-hosting
  • Non-sensitive workflows where convenience outweighs control
  • Evaluating agent swarm patterns before infrastructure commitment

Avoid for:

  • Sensitive codebases or proprietary data
  • Compliance-regulated environments (healthcare, finance)
  • Workflows requiring custom LLM providers
  • High-availability production systems (beta status)

Beta Limitations

**Testing pending:** We have not yet tested Kimi Claw hands-on. This page documents UI and claimed features only. Allegretto subscription required for evaluation.

Known constraints:

  • Beta status — features and pricing may change
  • Model lock-in — K2.5 only, no Claude/GPT options
  • Skill limitations — Unclear if custom skills supported vs pre-built only
  • Export/migration — Unknown if agents can migrate to self-hosted

Pricing Context

Kimi Claw requires Allegretto ($39/month):

  • Moderato ($19): No Kimi Claw access
  • Allegretto ($39): Kimi Claw + Research Preview Agent Swarm
  • Vivace ($199): Higher quotas, team features

See /value/kimi-access/ for complete tier breakdown and access strategies.

Cost comparison:

  • Self-hosted OpenClaw: ~$5-50/month VPS + API usage
  • Kimi Claw: $39/month flat (includes K2.5 usage)

Break-even depends on API call volume—light usage favors self-hosted, heavy usage may favor managed.


OpenClaw Deep Dives:

Kimi Access & Pricing:

Comparisons:


Last updated: February 15, 2026. Kimi Claw is in beta—verify current features at kimi.com/bot.
Evidence level: Medium (UI screenshots + documentation review). Hands-on testing pending Allegretto subscription.