Kailash SDK Documentation

Python Version SDK Version CARE Trust Framework

Enterprise AI Agent Platform with Cryptographic Trust

The Kailash SDK is the enterprise-grade platform for building production AI agent workflows with cryptographic trust chains, multi-channel deployment, and zero-config database operations. From a single workflow to orchestrated multi-agent systems, Kailash provides the foundation for verifiable, auditable AI applications.

Current Release: v2.59.0 (Core SDK) | DataFlow v2.19.0 | Nexus v2.14.0 | Kaizen v2.41.0

Architecture Overview

The Kailash SDK provides a layered architecture:

+----------------------------------------------+
|           Frameworks (Choose One+)            |
|  Kaizen (AI Agents)  |  Nexus (Multi-Channel) |
|  DataFlow (Database)  |  MCP (Integration)    |
+----------------------------------------------+
|              Core SDK Foundation              |
|  WorkflowBuilder | Runtime | Nodes | Trust    |
+----------------------------------------------+
|    User Infrastructure (not part of SDK)       |
|  Docker | Kubernetes | Cloud | Monitoring     |
+----------------------------------------------+

Critical relationships:

  • DataFlow, Nexus, and Kaizen are built ON the Core SDK – they do not replace it

  • All frameworks share the same workflow execution: runtime.execute(workflow.build())

  • CARE trust is woven through every layer for cryptographic accountability

What Makes Kailash Different

Cryptographic Trust (CARE/EATP)

Every agent action traces back to a human authorization through verifiable delegation chains. No other Python AI framework provides built-in cryptographic trust at the runtime level. See CARE Trust Framework.

Multi-Channel from One Codebase

Write a workflow once. Deploy it as a REST API, CLI tool, and MCP server simultaneously with Nexus. See Nexus – Multi-Channel Platform.

Zero-Config Database Operations

Declare a model with @db.model and get 11 production-ready database nodes automatically – CRUD, bulk operations, counting, and upserting. See DataFlow – Database Framework.

Signature-Based AI Agents

Define agent behavior with signatures, not prompts. Agents automatically optimize, fall back to alternative models, and coordinate in multi-agent teams. See Kaizen – AI Agent Framework.

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