AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published May 12, 2026·Updated Jul 13, 2026
Independently verified against live vendor data on Jun 24, 2026.

Cloud environment layer that runs AI agents (OpenClaw, Hermes, Claude Code, Codex) with persistent memory, skills, and integrations that survive framework switches. Free to start.

How we scored it

Autonomy

4/5

Integrations

4/5

Pricing clarity

5/5

Evidence

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Setup

4/5

The facts

Clawdi is a cloud-hosted AI agent environment, not an agent framework itself, but the persistent layer that sits above any agent framework. The core problem it solves is framework fragmentation: every time a developer or operator switches agent engines (OpenClaw to Hermes, Hermes to Claude Code), they lose everything including memory, API keys, skills, cron schedules, and app connections. Clawdi decouples the environment from the engine so configuration carries over regardless of which framework runs. Each workspace runs inside an Intel TDX hardware-encrypted virtual machine, giving users cryptographically verifiable privacy guarantees rather than policy promises. The agent gets a sandboxed file system and sandboxed browser. API keys are encrypted at the browser before leaving the device. Clawdi supports OpenClaw, Hermes, Claude Code, and Codex as swappable agent engines, with BYOA (bring your own agent) in development. App connections including Slack, Discord, Gmail, GitHub, Telegram, WhatsApp, and 13 plus messaging platforms are configured once in the Clawdi dashboard and surface inside agents automatically over MCP. Memory, vault, and connector tools are served through the Model Context Protocol, making Clawdi compatible with any MCP-aware agent. Automation runs via cron jobs for recurring tasks and persistent sessions for long-running workflows. The ClawHub marketplace provides community-built skills installable across all registered agents simultaneously. Named gaps: no SOC 2 certification at time of this audit; enterprise features including multi-workspace teams and granular access controls are still in development; and credit-based pricing with no rollover means unused credits are forfeited each month. Pricing verified live on clawdi.ai/pricing as of May 2026. Freemium at $0 per month includes 5,000 credits per month, one agent engine (OpenClaw or Hermes), 2 vCPU, 4GB RAM, 20GB storage, Intel TDX hardware encryption, and 13 plus messaging integrations. Pro at $29 per month includes 30,000 credits per month, both OpenClaw and Hermes engines, web terminal access, and custom public ports. Max at $99 per month includes 120,000 credits per month, 4 vCPU, 8GB RAM, and 40GB storage. Enterprise is custom-priced with SSO and SAML, audit logs, custom regions, dedicated support, 99.9% SLA, and custom integrations. Annual billing saves 20 percent; quarterly saves 10 percent. Credits are consumed per agent action and do not roll over month to month. Clawdi is not the right fit for teams needing confirmed security certifications before vendor approval: no SOC 2 or ISO 27001 certification has been published, and while Intel TDX provides hardware-level encryption, it is a hardware feature rather than an independently audited compliance certification. Teams already committed to a single agent framework with no plans to switch will find limited value in the environment portability that is Clawdi's core differentiator. Enterprise teams needing audit logs and SAML must contact sales, as these features are Enterprise-only with no self-serve path. Current state Q2 2026: Clawdi has reached 5,000 plus users since its February 2026 launch and maintains an active changelog at clawdi.ai. The GitHub repository (Clawdi-AI/clawdi) has 77 stars, reflecting early developer adoption. G2 profile exists at the clawdi slug with 2 reviews at 4.5 stars, unclaimed. No SOC 2 or ISO 27001 certification has been announced. Enterprise features including multi-workspace team management and granular access controls are listed as in development.

Pricing

freemium · $29/mo

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Segment

b2b

Setup

easy

Verified

Jun 24, 2026

Transparency

Public

Contract

Month-to-month

Data training

Not Disclosed

Autonomy

Human Optional

Capabilities

workflow-builderautonomousno-codeschedulingopen-source

Pros & Limitations

Editorial assessment

Pros

  • Framework-agnostic environment layer: switch between OpenClaw, Hermes, Claude Code, and Codex without losing memory, skills, API keys, or app connections, solving the real switching cost that causes most people to abandon personal agent setups
  • Intel TDX hardware-encrypted workspaces provide cryptographically verifiable privacy rather than a policy promise, meaningful for users running agents with access to credentials and sensitive business data
  • MCP-native architecture serves memory, vault, and connector tools via Model Context Protocol, meaning any MCP-aware agent can connect to the Clawdi environment layer automatically without custom integration code

Limitations

  • Credit-based pricing with no monthly rollover: 5,000 free credits deplete quickly under browser automation or multi-tool workflows; validate actual credit burn rate on the free tier before committing to a paid plan
  • No SOC 2 or ISO 27001 certification published: Intel TDX is a hardware encryption feature, not an independently audited compliance certification, meaning enterprise procurement teams with formal security requirements cannot self-serve compliance documentation
  • Early stage with evolving documentation and enterprise features still in development: 5,000 plus users since February 2026 but multi-workspace team management and granular access controls are not yet available on self-serve plans

Technical Details

Deployment
cloud
Avg setup time< 5 minutes
Autonomous rateCron-scheduled agent tasks and persistent sessions run autonomously; initial workspace setup and app connections require one-time manual configuration.
MCP compatibleYes
Integrations
SlackDiscordGmailGitHubTelegramWhatsApp

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Recognition

Transparent PricingListed 2026
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