140+ built-in tools — SSH, browser, web search, AWS, email & media generation.
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An agentic runtime for creating, evaluating, deploying, and observing production agents. It combines tools, memory, guardrails, browser automation, Android control, signals, Redis, webhooks, and isolated Daytona environments.
AADML shows how the runtime works, not a list of features in isolation.
140+ built-in tools — SSH, browser, web search, AWS, email & media generation.
Autonomous multi-tool agents that pick the right tool per step.
Signal System: cron, webhooks & Redis-stream triggers with budget caps + auto-pause.
Multi-LLM routing — OpenRouter, OpenAI, Anthropic, xAI, Google or local Ollama.
Per-agent model & temperature overrides with per-request cost tracking.
MCP integration — connect any server, auto tool discovery + circuit breakers.
Knowledge & Dream pipeline — cross-run memory that compounds over time.
Multi-tenant workspaces with RBAC & encrypted credential vaults.
Complete audit trails, login monitoring & self-hosted Docker deployment.
Custom REST API tool registration.
AADML isn’t a standalone tool. It runs on the same orchestration, deployment, and observability layer as every North Rays product.
Work is routed, dependencies are evaluated, and retries run automatically through the shared orchestration engine.
Run on North Rays Cloud, a hybrid setup, or fully on-premise — with consistent behavior.
Every workflow emits status, logs, and outcomes in real time, with no extra instrumentation.
Set model routing, budget caps, tool permissions, credentials, approvals, and execution environments per workspace or agent.
Use AADML as a managed runtime, private deployment, or internal layer that connects with your APIs, tools, webhooks, and data stores.
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Request a demo and we'll walk through how North Rays fits your automation, commerce, and AI workflows — and how it deploys into your infrastructure.