ShackleAIAI Agent OS — The Operating System for AI Agents
AI agents are powerful, but they lack the infrastructure to operate safely in the real world. ShackleAI is the AI Agent OS that gives every agent one gateway, every tool, and full control — with governed access, audit trails, and centralized credential management.
What is an AI Agent OS?
Every computer needs an operating system. Without one, applications would fight over memory, bypass file permissions, and crash into each other. The OS provides the managed layer — resource allocation, security boundaries, process isolation — that lets software run reliably.
AI agents face the exact same problem today. Each agent needs access to real-world tools: Slack for messaging, GitHub for code, Jira for project management, databases for storage. But there is no managed layer between agents and these tools. Every agent manages its own credentials, builds its own integrations, and operates with zero oversight.
An AI Agent OS is the infrastructure layer that solves this. It sits between your AI agents and the tools they use, providing managed access, centralized credentials, governance policies, and complete audit trails. The AI Agent OS handles the complexity of tool management so your agents can focus on doing their jobs.
ShackleAI is the AI Agent OS built on the Model Context Protocol (MCP), the open standard for agent-to-tool communication. It works with any MCP-compatible client — Claude Code, Cursor, Windsurf, VS Code Copilot, Claude Desktop — without requiring changes to your agent code.
Why AI agents need an operating system
Without an OS layer, every agent deployment has the same four failure modes. ShackleAI solves each one.
Scattered Credentials
OAuth tokens live in .env files, scattered across agent configs, and leaked into git repos. Each tool requires its own authentication setup. Rotating a token means touching every agent that uses it.
Vault
Centralized OAuth management. Connect once per service, share access across all authorized agents. Tokens are encrypted, auto-rotated, and never exposed to agents directly.
Zero Governance
Any agent can call any API with any parameters. An agent asked to review code can delete repositories. A support bot can post to executive channels. There are no limits, no policies, and no guardrails.
Governance
Fine-grained policies per agent, per tool, per action. Define exactly what each agent can do. Destructive operations are blocked automatically before they execute.
No Audit Trail
Which agent called which API? When? With what parameters? What was the response? Nobody knows. When something goes wrong, there is no way to investigate what happened or who is responsible.
Observatory
Complete logging of every tool call. Searchable, filterable, exportable. See exactly what every agent did, when, and why. Built for compliance teams and incident responders.
Manual Integrations
Every new tool means writing integration code, managing server processes, handling failures, and maintaining infrastructure. Adding Slack to an agent takes hours. Adding ten more tools takes weeks.
ToolCloud + Gateway
One-click tool installation from the registry. Managed hosting in isolated containers. A single config line gives your agent access to every installed tool through one gateway URL.
The ShackleAI AI Agent OS architecture
Eight core services that give your AI agents the infrastructure they need to operate safely and effectively.
Gateway
Single entry point for all agent-to-tool communication. One URL, one API key, every tool accessible. Handles routing, load balancing, and protocol translation so your agents never deal with integration complexity.
ToolCloud
Managed hosting for MCP tool servers. One-click deploy any tool from the registry into isolated containers. No infrastructure to manage, no Docker files to write.
Vault
Centralized OAuth token management. Connect once per service, share access across all authorized agents. No more scattered .env files or leaked credentials in git repos.
Memory
Persistent context that follows your agents across sessions and tools. Structured memory storage with semantic search so agents never lose context between conversations.
Governance
Fine-grained access control policies per agent, per tool, per action. Define what each agent can do before it does it. Prevent destructive operations automatically.
Observatory
Complete audit trail of every tool call. See which agent called which API, when, with what parameters, and what happened. Exportable logs for compliance and debugging.
Identity
Unique identities for every agent in your organization. Track behavior, enforce policies, and maintain accountability across your entire agent fleet.
Registry
Curated catalog of 1,300+ MCP tools across 17 categories. Search, compare, and install tools with a single click. Community-maintained and continuously growing.
1,300+ MCP tools ready to use
The AI Agent OS is only as useful as the tools it connects to. ShackleAI gives your agents access to the largest curated catalog of MCP tools available.
The ShackleAI Tool Store contains over 1,300 MCP tools organized across 17 categories. Developer tools like GitHub, GitLab, and Bitbucket for code management. Productivity tools like Slack, Notion, and Linear for team coordination. Data tools for databases, analytics, and cloud infrastructure management.
Every tool in the store is installable with a single click. Once installed, it appears in your agent's tool list automatically through the Gateway. No configuration files, no server management, no infrastructure decisions. The AI Agent OS handles hosting, scaling, and credential injection transparently.
The registry is community-maintained and continuously growing. Tool authors publish to the store, and the ShackleAI team curates and verifies each submission. You can also host private tools that are only visible to your organization.
Who is the AI Agent OS for?
Solo Developer
Ship faster with AI agents that use real tools
You are building with Claude Code, Cursor, or another MCP client. You want your agent to access GitHub, Slack, and your database without writing integration code. ShackleAI gives you one config line that connects your agent to every tool you need. Start free, upgrade when you need team features.
Engineering Team Lead
Manage tool access for your entire agent fleet
Your team runs multiple agents across different projects. Each agent needs different tool access, and you need visibility into what they are doing. The AI Agent OS gives you centralized credential management, per-agent access policies, and a complete audit trail. One dashboard to govern every agent on your team.
Enterprise Security Team
AI agent governance that satisfies compliance
Your organization is adopting AI agents, and you need guardrails. Who has access to what? What did each agent do? Can you prove it to auditors? ShackleAI provides the governance, identity management, and audit infrastructure that enterprise security teams require before approving AI agent deployments.
Get started in three steps
From zero to a fully managed AI agent tool stack in under five minutes.
Connect your tools via OAuth
Link Slack, GitHub, Jira, and other services through the dashboard. Each connection is done once for your entire organization. ShackleAI stores tokens securely in Vault and handles refresh automatically.
Install MCP tools from the store
Browse the Tool Store and install any of the 1,300+ available tools with a single click. Each tool is deployed to your ToolCloud automatically with managed hosting and zero infrastructure overhead.
Add one config line to your agent
Paste a single JSON entry into your MCP client configuration. Point it to gateway.shackleai.com with your API key. Your agent now has access to every installed tool through one endpoint.
// One config. Every tool. Full control.
{
"mcpServers": {
"shackleai": {
"url": "https://gateway.shackleai.com",
"headers": {
"Authorization": "Bearer sk_..."
}
}
}
}Frequently asked questions about the AI Agent OS
What is an AI Agent OS?
An AI Agent OS is the infrastructure layer that sits between AI agents and the real-world tools they need to use. Just as a traditional operating system manages hardware resources, file systems, and security for desktop applications, an AI Agent OS manages tool access, credentials, permissions, and audit trails for AI agents. It provides a unified interface so agents can discover, authenticate with, and safely use any tool without custom integration code.
How is ShackleAI different from just using MCP servers directly?
Using raw MCP servers means each agent needs its own credentials, its own server instances, and its own integration code. There is no access control, no audit trail, and no way to manage tools across a team. ShackleAI adds the missing infrastructure layer: centralized OAuth via Vault, governance policies, full audit logging via Observatory, and managed hosting via ToolCloud. Think of it as the difference between running applications directly on hardware versus running them on an operating system.
What MCP tools are available on ShackleAI?
ShackleAI provides access to over 1,300 MCP tools across 17 categories including developer tools (GitHub, GitLab, Bitbucket), productivity (Slack, Notion, Linear), data and analytics, cloud infrastructure, and more. New tools are added regularly by both the ShackleAI team and the community. You can browse the full catalog in the Tool Store.
Do I need to change my AI agent to use ShackleAI?
No. ShackleAI works with any MCP-compatible client including Claude Code, Cursor, Windsurf, VS Code Copilot, and Claude Desktop. You add a single configuration entry pointing to the ShackleAI Gateway, and your agent immediately has access to every tool you have installed. No SDK changes, no code modifications, no vendor lock-in.
Is ShackleAI suitable for enterprise use?
Yes. ShackleAI is built for teams that take AI governance seriously. The platform includes agent identity management, fine-grained access policies, complete audit trails, centralized credential management via the OAuth Vault, and exportable compliance logs. Enterprise features like SSO/SAML integration and dedicated infrastructure are available on the Enterprise plan.
How does ShackleAI handle security and credentials?
ShackleAI uses a centralized Vault service for all credential management. OAuth tokens are stored encrypted, never exposed to agents directly, and rotated automatically. The Governance engine enforces per-agent, per-tool access policies so agents can only use the tools and actions they are explicitly authorized for. Every tool call is logged in Observatory for full auditability.
Give your AI agents the operating system they deserve
Stop managing scattered credentials, writing integration code, and running agents without governance. Start with the AI Agent OS today.