Platform + SDK for Agentic Chat Applications
Self-hosted platform and SDK for building and operating agentic chat applications and copilots. Production-ready runtime with streaming, tool execution, memory, economics, and enterprise governance—all out of the box. Deploy in 30 minutes.
Framework-Agnostic Runtime
Build your workflows in LangGraph, LangChain, CrewAI, AutoGen, or custom Python. KDCube provides the runtime infrastructure to host, scale, and govern them with streaming, tool execution, and memory management out of the box. Runtime architecture →
Enterprise Security & Governance
Production-ready multi-tenant isolation with per-tenant/project schemas, comprehensive audit trails, and self-hosted data sovereignty. Built-in authentication, RBAC, sandboxed execution, and complete compliance controls for SOC2/HIPAA deployments. Security & governance →
Complete Runtime Stack
Streaming chat (REST/SSE/Socket.IO), tool execution, code sandboxing, knowledge base with pgvector, web research, memory management, and artifact handling. Everything needed to run production agentic applications. Key features →
Economics & Cost Management
Built-in usage tracking, budget enforcement, rate limiting, and cost reporting at tenant/project/user levels. Real-time dashboards and token-level granularity. Achieve 60-80% cost reduction vs. managed platforms with zero SaaS fees. Economics system →
Reference Agent Implementations
Example agents demonstrating runtime capabilities—fork and customize
Why Teams Choose KDCube
The enterprise-grade application server for AI agents
vs. Managed Platforms
Vellum, StackAI, Vertex AI
- 60-80% cost reduction — No SaaS fees or per-pipeline markups
- Full control — Your infrastructure, your scaling rules
- Data sovereignty — Pass audits on your terms, nothing leaves your VPC
- Zero lock-in — Switch providers in hours with MIT license
vs. Agent Frameworks
LangChain, CrewAI, AutoGen
- Complementary layer — Build with frameworks, deploy on our platform
- Production infrastructure — Streaming runtime, tool execution, memory, economics
- Multi-framework support — Run LangGraph, LangChain, CrewAI on one platform
- Enterprise features — Multi-tenancy, knowledge base, sandboxing, cost tracking
vs. Custom Build
DIY Infrastructure
- Deploy in 30 minutes — vs. 3-6 months of custom development
- Battle-tested — Streaming, tool execution, memory, economics, governance solved
- Focus on agents — Build application logic, not runtime infrastructure
- Full source access — MIT licensed, fork freely
Enterprise-Grade Agent Deployments
Mission-critical deployments from regulated industries to high-growth startups
Regulated Industries
Deploy agentic applications with SOC2/HIPAA compliance controls, schema-level tenant isolation, comprehensive audit trails, and self-hosted data sovereignty. Pass audits without changing agent code.
Platform Engineering Teams
Provide production-ready runtime infrastructure for teams building agentic applications. Multi-tenant platform with streaming, tool execution, knowledge base, and economics—the scalable foundation your teams need.
AI-Powered Products
Ship AI-powered products with production-ready runtime and cost control. Build agents with any framework, KDCube handles streaming, tools, memory, and governance infrastructure.
AI Startups
Launch agentic products with production runtime out-of-the-box. Multi-tenancy, streaming, tools, knowledge base, and economics included. Focus on your agent logic, not infrastructure.
Frequently Asked Questions
How does the application server work with different frameworks?
KDCube is framework-agnostic—build your workflows in LangGraph, LangChain, CrewAI, AutoGen, or custom Python. The platform provides the runtime infrastructure (streaming, tools, memory, economics, governance) to host and scale them. Architecture overview →
What governance features support compliance?
Schema-level multi-tenant isolation, comprehensive audit trails, SOC2/HIPAA controls, delegated authentication with 2FA, RBAC, encryption, and complete execution lineage. Self-hosted data sovereignty. Security & governance →
How does sandboxing work?
Ephemeral Docker containers with network isolation, privilege separation, and resource limits (CPU/memory/time). Tool calls proxied through supervisor to prevent data exfiltration. Sandboxing details →
How long does deployment take?
20-35 minutes via Docker Compose or CLI installer. Configure database, Redis, LLM keys, and start services. Custom-built platforms require 3-6 months and $150K-400K.
What expertise is required?
Basic Docker Compose and database connectivity. No specialized MLOps or Kubernetes expertise required for getting started.
How does cost tracking work?
Automatic per-tenant, per-project, per-user tracking with token-level granularity. Real-time dashboards, budget enforcement, rate limits, and comprehensive reporting built-in. Economics system →
Can I migrate existing agents?
Yes. LangGraph workflows run with zero code changes. LangChain requires minimal adapters. Custom Python agents integrate via the Bundle API.
What's included out-of-box?
Included: Streaming runtime, tool execution, code sandboxing, knowledge base, memory, economics, auth, multi-tenancy, monitoring. Configure: LLM keys, database, Redis, your agent bundles.
Is this enterprise production-ready?
Yes. Built-in circuit breakers, rate limiting, backpressure control, retries, comprehensive audit logging, and horizontal scaling. Production deployments handle 10,000+ executions/day.
What are the ongoing costs?
Infrastructure only: compute ($200-2K/mo), storage ($50-500/mo), LLM API costs. No per-pipeline, per-tenant, or SaaS fees. Platform is free and open source (MIT license).
How do compliance audits work?
Self-hosted means you control the security posture. Platform provides schema-level isolation, comprehensive audit trails, RBAC, encryption, and execution lineage. Pass audits 30% faster. Compliance controls →
What support is available?
Community: GitHub issues, docs (free). Enterprise: SLA support, consulting, custom development.
Documentation & Resources
Enterprise Features
Production capabilities
Data Governance
Security & compliance
Agent Architecture
Patterns & definitions
Deployment Guides
K3s Quick Start
Single-node K3s deployment with SSL and monitoring.
K3s Production
Production deployment with HA and backup strategies.
Kubernetes Local
Full Kubernetes for development and staging.
AWS Deployment
AWS infrastructure with ECS, RDS, and ElastiCache.
Deployment Comparison
Compare AWS, K3s, and on-premises with cost analysis.
Chat Widget Integration
Website chat widget with WebSocket integration.