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BlueRock for Builders

Your place to build with AI

Whether you're building your first agent or already creating with AI, BlueRock for Builders gives you a secure AI workspace to build, run, and automate real work.

Keep building with Claude Code or Cursor. BlueRock gives you the workspace, persistent context, guardrails, and guided learning to help you go further.

For citizen developers and AI-native builders.

BlueRock for Enterprise

Bring agentic AI into your organization

For teams deploying AI across the enterprise, BlueRock provides the infrastructure to run, observe, and govern agentic systems across builders, agents, tools, and environments.

Get visibility into agent actions, run agents in controlled environments, connect trusted MCP servers, apply context-aware guardrails, and establish the operational foundation to scale agentic AI across your organization.

For engineering, platform, security, and enterprise AI teams.

Explore how BlueRock helps your organization:

See the full Agentic Action Path

Understand what agents are doing from intent through execution.

Run agents in controlled environments

Give builders and agents places to work without sacrificing enterprise control.

Connect to trusted MCP servers

Understand and govern the tools your agents can access.

Apply context-aware guardrails

Control actions based on identity, intent, capabilities, and runtime context.

Move agentic systems toward production

Give engineering and security a common operating layer as AI adoption scales.

Talk to BlueRock

BlueRock supports the teams building and operating real agentic infrastructure.

Not heuristics. Not signatures. Actual code analysis across 22+ security rules.

Agentic Developers

See exactly what your agents are doing so you can debug faster and move projects from dev to production with confidence.

MCP Server Builders

Understand how agents invoke MCP tools in real workflows and see how capabilities are used across agent ecosystems.

DevOps & Platform Teams

Trace how agent decisions propagate across services, tools, and MCP servers to understand system impact.

Security Teams

Maintain visibility into agent behavior and enforce boundaries as agents interact with tools, data, and infrastructure.

Common Questions

Everything you need to know about BlueRock and the agentic execution layer.

How do I get started with BlueRock?

Install BlueRock with pip install bluerock and connect to the managed PaaS instance to start your free 30-day trial. Your first agent trace is visible in under 5 minutes — no infrastructure setup required. Prefer to run BlueRock on your own infrastructure? Deploy on your own AWS using CloudFormation in under 5 minutes.

What will I see during the BlueRock free trial?

During the 30-day free trial you get full access to the Agentic Action Path — real-time visibility into model decisions, tool calls, MCP server interactions, and downstream execution. You can run agents in the YOLObox sandbox environment, build context-aware guardrails, connect to trusted MCP servers, and observe how agent decisions propagate across your systems. Historical lookback is limited to 7 days on the Starter plan.

What is YOLObox and what does it do?

YOLObox is BlueRock's secure sandbox for agent development. It lets you build, run, and observe agentic workflows in a controlled environment — with zero application code changes or a single CLI command. YOLObox gives you full Agentic Action Path visibility: model decisions, tool calls, MCP server interactions, and execution outcomes — so you can debug, validate, and promote agents to production with confidence.

Can I self-host BlueRock instead of using the managed PaaS?

Yes. BlueRock supports deployment on your own AWS infrastructure via CloudFormation. Self-hosted deployment takes under 5 minutes and requires no application code changes. The managed PaaS instance is an alternative for teams that want zero infrastructure overhead during the trial or in production.

Why do logs and traces fall short for agentic systems?

Logs and traces show that actions occurred — but not who initiated them, what capabilities were invoked, or how execution propagated across systems. Agents select tools and trigger downstream actions dynamically at runtime. The context needed to interpret behavior rarely travels with execution. BlueRock’s Trust Context Engine changes that. It attaches identity, capability, and trust signals to every step of the Agentic Action Path — so teams understand not just what ran, but whether it was trustworthy.