LangGraph Enterprise SDK

An enterprise-grade Agent Platform SDK inspired by LangGraph, built with TOON & ZAD principles, designed for governance, security, scalability, and multi-agent systems.

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🚀 Overview

LangGraph Enterprise SDK is a production-ready Agent Platform SDK that provides a governed, secure, and extensible foundation for building single-agent and multi-agent systems in enterprise and regulated environments.

This SDK does not replace LangGraph.
Instead, it hardens and operationalizes agent execution, adding the layers required for real-world production use.

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🎯 Why This SDK Exists

Most agent frameworks are optimized for:

• Prototyping
• Demos
• Experiments

They are not sufficient for:

• Governance & compliance
• Multi-tenant isolation
• Long-running agents
• Human-in-the-loop workflows
• Deterministic replay & audit
• Security boundaries
• Enterprise DevOps & SRE operations

This SDK fills that gap.

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🧠 Core Design Principles

1️⃣ TOON – Tool-Oriented Orchestration Nodes

• Nodes only orchestrate
• Tools perform side effects
• LLMs perform reasoning
• Clear separation of responsibilities

2️⃣ ZAD – Zero-Action Design

• No implicit state mutation
• No hidden side effects
• Deterministic execution
• Replayable workflows

3️⃣ Enterprise-First Architecture

• Security & governance are first-class
• Observability is built-in
• Persistence & recovery are mandatory
• Protocols (A2A, MCP) are standards-based

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🧩 High-Level Architecture

Client / UI
     |
Server (Control Plane)
(Auth, Tenancy, Lifecycle)
     |
Execution Runtime
(GraphExecutor, Scheduler)
     |
Workflows
(Planner, Supervisor)
     |
Nodes (TOON)
     |
LLMs (Reasoning) ---- Tools (Side Effects)

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📦 Key Capabilities

✅ Agent Execution

• Deterministic graph execution
• Retry & cancellation support
• Lifecycle hooks
• Streaming events

✅ Multi-Agent Workflows

• Planner / Supervisor model
• Explicit delegation
• A2A-ready design

✅ Governance

• Approval workflows
• Audit logging
• Compliance policies
• Quotas & rate limits

✅ Security

• Authentication & Authorization
• RBAC
• Tenant & execution isolation
• Secrets abstraction

✅ Persistence & Durability

• Checkpointing
• Snapshots (time-travel)
• Crash recovery
• Replay & resume

✅ Memory & RAG

• Postgres / Redis memory
• pgvector / OpenSearch vector stores
• Embedding abstraction

✅ Knowledge Graph

• Neo4j integration
• SOP / Runbook reasoning
• Dependency & impact analysis

✅ LLM Abstraction

• OpenAI
• Azure OpenAI
• Anthropic
• Ollama
• LLaMA-cpp
• Groq
• Custom / on-prem models

✅ MCP (Model Context Protocol)

• Tool invocation via protocol
• HTTP / stdio / WebSocket
• Secure metadata propagation

✅ Observability

• Structured logging
• Metrics (Prometheus)
• Tracing (OpenTelemetry)
• Dashboard registry

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📁 Project Structure

src/
├── api/
├── execution/
├── workflows/
├── tools/
├── llm/
├── memory/
├── graph_store/
├── mcp/
├── a2a/
├── governance/
├── security/
├── persistence/
├── streaming/
├── observability/
├── server/
├── utils/
└── connectors/

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⚙️ Installation

Core SDK

pip install langgraph-enterprise-sdk

Full Enterprise Install

pip install "langgraph-enterprise-sdk[enterprise]"

LLM Providers

pip install "langgraph-enterprise-sdk[all-llms]"

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🧪 Testing

Enterprise-grade test strategy:

tests/
├── unit/
├── integration/
├── security/
├── durability/
└── load/

Run all tests:

pytest

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🔐 Security Model

• Zero-trust by default
• AuthN → AuthZ → Policy → Isolation → Execution
• Tools are sandboxed
• No implicit privilege escalation
• Multi-tenant safe

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🔄 Relation to LangGraph

LangGraph	This SDK
Graph execution	Deterministic runtime
Nodes	TOON-compliant nodes
State	Immutable ZAD state
Memory	Enterprise memory + RAG
Tools	Sandboxed & governed
Agents	Multi-agent workflows
Server	Control plane
Governance	Built-in

LangGraph can be used inside this SDK but is not exposed directly to application teams.

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🏢 Who Should Use This?

✔ Platform Engineering Teams
✔ Enterprise AI / GenAI Teams
✔ Regulated Industries (Banking, Healthcare, Telecom)
✔ DevSecOps & SRE Teams
✔ Organizations building agent platforms, not just agents

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🤝 Contributing

See CONTRIBUTING.md

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📜 License

Apache 2.0 — see LICENSE

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🏁 Final Note

This repository is not a demo.
It is a platform-grade foundation for building safe, scalable, enterprise AI agents.