Agent Builder Platform

Build Custom Agents for Anything

Design agents with precise behaviors, custom tools, persistent memory, and seamless integrations. From visual builder to production deployment in minutes.

The Agent Builder Platform

Full control over every dimension of agent behavior. No compromises, no black boxes, no limitations on what your agents can do.

Visual Agent Designer

Drag-and-drop interface for composing agent behaviors, decision trees, and workflow logic. See your agent's reasoning flow before you deploy it.

Behavior Scripting

Write agent behaviors in TypeScript or Python. Define decision logic, response templates, escalation rules, and custom reasoning chains with full programmatic control.

Tool Integration

Connect agents to any API, database, or service. The tool registry supports REST, GraphQL, gRPC, and WebSocket protocols with automatic schema discovery and type safety.

Agent Configuration Layers

Every aspect of agent behavior is configurable, from core personality to external integrations.

Personality and Constraints

Define agent identity, communication style, decision-making tendencies, and hard boundaries. Constitutional constraints prevent agents from exceeding their defined authority.

System Prompts Guardrails Authority Levels

Memory Architecture

Configure short-term working memory, long-term knowledge storage, and episodic memory for learning from past interactions. Memory is persistent, searchable, and shareable across agents.

Working Memory Long-Term Storage Episodic Recall

Testing Sandbox

Test agents in isolated environments with simulated inputs and controlled scenarios. Validate behavior against edge cases, adversarial inputs, and failure conditions before deployment.

Simulation Mode Edge Case Testing Red Team Evaluation

One-Click Deploy

Promote agents from sandbox to production with a single action. Blue-green deployments ensure zero downtime. Rollback to any previous version instantly if issues arise.

Blue-Green Deploy Version Control Instant Rollback

Build to Deploy Workflow

From concept to production agent in four steps.

Step 1

Design

Use the visual builder or code editor to define agent behavior, tools, memory, and constraints. Start from a template or build from scratch.

Step 2

Connect

Wire up tools and integrations. Connect to your APIs, databases, and third-party services. Configure authentication and rate limits.

Step 3

Test

Run your agent through test scenarios in the sandbox. Validate outputs, check guardrails, and stress-test with adversarial inputs.

Step 4

Deploy

Push to production with configurable scaling, monitoring, and alerting. Your agent is live and accessible via API, webhook, or embedded interface.

Use Cases

Custom agents are built for workflows that off-the-shelf solutions cannot address.

Customer Support Agents

Agents trained on your knowledge base that handle tier-1 support, escalate complex issues, and learn from every interaction to continuously improve resolution rates.

Compliance Monitoring

Agents that continuously audit transactions, communications, and processes against regulatory requirements. Violations are flagged in real time with recommended remediation steps.

Data Pipeline Orchestration

Agents that manage ETL workflows, monitor data quality, handle schema changes, and coordinate between data producers and consumers across your organization.

Platform Specifications

Enterprise-grade infrastructure for custom agent deployments.

500+

Pre-Built Tool Connectors

50+

Agent Templates

<2min

Deploy Time

99.9%

Uptime SLA

Frequently Asked Questions

Do I need to write code to build a custom agent?
No. The visual agent designer lets you build fully functional agents without writing any code. For advanced customization, you can extend agent behavior with TypeScript or Python scripts. Most teams use a combination of both approaches.
Can custom agents interact with each other?
Yes. Custom agents can communicate through the CREW10X message bus, share memory spaces, and coordinate on tasks. You can compose individual agents into teams or plug them into swarm topologies for complex multi-agent workflows.
How do I version and manage agent configurations?
Every agent configuration is version-controlled with full diff history. You can branch configurations for A/B testing, tag stable releases, and roll back to any previous version. Configuration-as-code export allows integration with your existing CI/CD pipelines.
What monitoring is available for deployed agents?
The operations dashboard shows real-time metrics including response latency, token consumption, success rates, error rates, and user satisfaction scores. You can set up alerts on any metric, view conversation logs, and trace agent reasoning for debugging.

Build the Agent Your Business Needs

Start from a template or build from scratch. Your custom agent can be live in production within minutes.