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Ship production-grade AI agents in weeks, not months

Build, Orchestrate, and Observe AI Apps in Production

With Kruso’s Agentic Platform, your teams can: 

• Initiate and Accelerate delivery of AI-powered solutions 

• Reduce complexity in operations 

• Focus on innovation instead of infrastructure 

 

An agentic orchestration platform that ships productionready applications and the Kubernetesbased infrastructure to run them. Compose agents, APIs, and automations with observability, security, and lifecycle management built in. 

Subagents: Building Blocks for Speed

Just as microservices transformed software by breaking applications into smaller, reusable components, micro-agents aka ”subagents” bring the same principle to AI. Each micro-agent is a pre-built, specialized unit designed to perform a narrow role - from generating insights to automating handoffs. By composing these building blocks, we can quickly orchestrate full agentic workflows tailored to your organization. The result: production-grade AI agents shipped in weeks, not months. 

Everything you need to build, deploy, and scale AI applications in production

🚀 Orchestrated Apps 

Get up and running fast with ready-to-deploy applications. Launch chat, voice, developer, and content pipelines right out of the box - no heavy setup required. 

 

🤖 Agent Workflows 

Coordinate multi-agent flows with ease. From planning and execution to smooth handoffs, our platform ensures agents work together like a well-tuned team. 

 

☁️ Cloud-Native by Default 

Scale with confidence on a Kubernetes-ready foundation. Containerized services, built-in packaging, and service mesh support come standard. 

 

📊 Deep Observability 

Track everything that matters. Traces, metrics, and logs give you full visibility across every request and model call. 

 

🔒 Enterprise Controls 

Security built in from the ground up. Manage secrets, apply least-privilege defaults, and benefit from audit-ready instrumentation. 

 

🔧 Extensible by Design 

Adapt and grow without limits. Extend with Model Context Protocol (MCP), webhooks, and modular microservices — all designed for flexibility. 

What You Can Orchestrate Today

Production-ready applications across chat, development, content, and automation 

Chat & Voice

💬Agentic Chat Experience 

FastAPI backend + Streamlit UI with workflows like Solution Architect, triage, and humanintheloop. 

 

🎤 Realtime Voice Agent 

Streamlit + OpenAI Realtime and NodeRED flows for voicefirst interactions. 

👩‍💻 Open SWE Agent 

LangGraphbased planner/programmer/reviewer integrated with GitHub for autonomous code changes and CIfriendly outputs. 

 

🔌 MCP Servers 

GitHub MCP and Claude Code MCP for tool access from agent runtimes; Mermaid MCP for diagram generation. 

Content & Automation

📝 Feed Agent (React) 

AIassisted content creation with image analysis, bulk ops, and n8n integration. 

  ⚡ Automation Bridges 

n8n (with Python runtime and OTEL tracing) and NodeRED for eventdriven integrations. 

  📄 MarkdowntoPDF Service 

API to render Markdown to styled PDFs with custom CSS and headers/footers.   

Channels

📱 Telegram Mini App 

Meet users where they work with integrated Telegram components. 

 

💼 Slack Home App 

Slack blocks and home app components for workplace integration. 

How it works

Behind every agentic workflow is a robust production-grade foundation. Our platform architecture is purpose-built to make AI applications reliable, scalable, and enterprise-ready - from orchestrating complex agent runtimes to packaging, securing, extending, and monitoring them with ease. Each layer of the stack ensures that your AI solutions don’t just work in theory, but perform consistently in real-world environments.

Why Orchestration Matters

The foundation for reliable, governed, and scalable AI applications: 

 

🛡️ Reliability at Scale 

Manage multistep, multiagent tasks with retries, routing, and state. 

 

📋 Governance 

Standardize prompts, tools, and data access across teams and apps. 

 

🔍 Traceability 

Full request lineage and token/cost visibility for optimization and audits. 

 

🚀 Portability 

Swap models, upgrade components, and move environments without rewrites. 

Observability & Monitoring

Complete visibility into your AI applications and infrastructure 

 

🔗 EndtoEnd Tracing 

Instrumented LLM/API calls with request metadata and token usage. 

 

📋 Logs & Correlation 

Structured logs tied to traces for fast incident response. 

 

📈 Metrics & Dashboards 

Service, model, and workflow KPIs in Prometheus/Grafana. 

 

📦 OutoftheBox Stack 

Jaeger/Tempo, Prometheus, Grafana, Kiali; OpenTelemetry wiring included. 

Security & Compliance

Enterprise-grade security and audit-ready compliance 

 

🛡️ Container Hardening 

Nonroot images, scoped permissions, and network boundaries. 

 

📊 Auditability 

Consistent logs/traces for change tracking and regulatory evidence. 

 

🔐 Secrets & Access 

Environmentbased secrets, encryption support, and RBACaligned policies. 

 

🏗️ Isolation Options 

Service mesh policies and optional sandboxing for codeexecution tools. 

Use Cases

Built for teams across product, platform, operations, and documentation 

 

🎯 Product Teams 

Ship chat/voice assistants and content tools with measurable reliability. 

 

🔄 Ops/Automation 

Connect CRMs, ticketing, and data sources with n8n/NodeRED pipelines. 

 

Platform/DevEx 

Offer a governed agent runtime with GitHub workflows and MCP tools. 

 

📄 Documentation & Reporting 

Autogenerate structured docs and PDFs from AI outputs. 

Meet the DORA Agent for compliance and resilience

The humanized DORA Agent as your compliance Co-Pilot

The DORA Agent is an AI-powered assistant that automates architecture analysis, compliance workflows, and reporting. Instead of teams spending countless hours on manual documentation, the agent ingests system changes, assesses their impact, and generates audit-ready, regulator-compliant outputs, all while keeping humans in the loop for decisions.