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Clawdi
Quiet
#529 Radar 50

Manages AI agents, environments, and memory with secure, one-click deployment.

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Product memo

Clawdi provides an open-source platform for AI developers to deploy and manage agents like OpenClaw and Hermes. It decouples agent memory and environments, allowing one-click deployment on secure VPS instances. This approach solves the problem of losing agent setups when switching frameworks, giving AI agents a stable and secure home.

For who

AI developers and businesses

Solves what

Running and managing AI agents, environments, and memory securely.

  • One-click AI agent deployment
  • Open-source environment
  • Secure cloud hosting

In their own words

Clawdi

The best home for all your AI agents, environments, sessions, memory, skills, cron jobs, and app connections.

Commercial cues

Pricing snapshot subscription pricing

Model

subscription

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier attracts new users to test basic AI agent management.
  • Tiered pricing scales access based on features and platform capacity.

Operator context

Operating setup

Founded

Dec 2024

HQ

United States

Platform

Web app

Audience

Developers

Payments

Stripe

Detected via TrustMRR

Market demand

Clawdi keyword demand

5 keywords

5 keywords
Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About Clawdi Expand

Clawdi provides a dedicated platform for AI developers and businesses to run and manage their AI agents. It focuses on securely deploying agents, handling their environments, and managing memory.

The open-source nature of the platform, combined with features like secure VPS hosting, gives developers control and flexibility. This addresses the need for a stable and reliable infrastructure as AI agent use becomes more widespread, allowing users to maintain their agent setups without disruption across different frameworks.