Enterprise AI Platform

LangBuilder AI Agent Platform — Open Source, Enterprise-Ready, Yours to Own

CloudGeometry provides end-to-end support for platform deployment, maintenance, and AI Agent adoption through our managed services plans.

Deploy on your cloud, VPC, and/or on-prem
No-code, Low-code & LangChain
AI Agents Libraries & Templates
TL;DR Quick Overview

LangBuilder is CloudGeometry’s open-source, enterprise-ready AI Agent platform. It unifies no-code design, developer frameworks, and enterprise operations into one system — enabling teams to rapidly prototype, securely deploy, and scale AI workflows across cloud, VPC, or on-prem infrastructure. You get full ownership, zero lock-in, and managed services support for continuous adoption and improvement.

What are the 3 Essential Layers of Enterprise AI Transformation?

Unified in one LangBuilder Platform to enable step-by-step, accurate AI Agent adoption in your business processes

Layer 1: Visual Design

How does the Visual Editor and Workflow Designer work?

An intuitive, no-code drag-and-drop IDE for business users and project managers to prototype and validate AI workflows rapidly

Visual Editor

Data Integration

  • Prebuilt connectors to popular and domain specific data sources, and APIs
  • LLMs choices: GPT/Claude/Bedrock/Gemini and local Mistral/LLaMA/Falcon/++
  • RAG pipelines and Vector DBs for adding your business internal and domain knowledge

Development Tools

  • Playground mode for fast experimentation and concept validation before scaling
  • Access controls and roles for secure collaboration
  • Reusable agent templates—e.g., for customer support, copilots, process automation.
Open Source Foundation

Based on popular LangFlow OpenSource project with CloudGeometry add-ons, to continuously run your AI Agents for Internal Processes.

Layer 2: Developer Framework

What is the Programmable AI Agent Framework?

For LLM developers, extends agents with custom logic, integrations, and advanced orchestration

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AI
LangChain
LCEL
Framework

Core Language & Components

  • LangChain Expression Language (LCEL) for precise, expressive orchestration logic
  • Pre-built components and primitives
  • Full support for memory integration—short-term session and long-term memory out of the box.

Advanced Orchestration

  • Multi‑agent orchestration—use handoffs or supervisor/swarm patterns for complex workflow
  • Rich API layer: control plane & data plane APIs
  • Robust concurrency and reliability
Open Source Foundation

Based on the most popular LangChain OpenSource project with CloudGeometry AddOns allowing a seamless transition from rapid prototyping to enterprise-ready  secure agents.

Layer 3: Enterprise Operations

How does AI Agent Deployment & Management work?

For operations teams and business analysts who need production-ready tools for AI powered processes governance, cost optimization, and continuous improvement

OPS
K8s
CI
CD
Online
99.9%
Deploy
Production
CPU: 23%
RAM: 67%

Infrastructure & Scaling

  • Cloud deployment with built-in CI/CD
  • Built-in task queues and auto-scaling
  • Checkpointers and memory storage
  • Scalability and fault tolerance

Governance & Control

  • AI Quality Control AddOns
  • Cost Control, Cloud, Data, Tokens
  • Human‑in‑the‑loop support — pause workflows for manual intervention at any stage
Open Source Foundation

Based on popular OpenSource projects LangGraph and Kubernetes, with available CloudGeometry components for quick deployment, observability and cost control.

Platform Management

Why is centralized management of AI agents important?

No More Agent Zoo

Avoid scattered GPTs, gems, and Python scripts. AIX unifies your AI Agents into a single platform — organized, secure, and future-ready

Retire Legacy Systems

Gradually shift from HR, CRM, and ERP silos to agent-driven workflows, with centralized configuration, and continuous improvement

One Platform, Every Agent, Full Control

Manage all your internal and customer-facing AI Agents in one place — with unified  security, access control, and compliance

Strategic Foundation

Why should an open-source AI technology stack
be the foundation of your AI transformation?

“AI is evolving at an unprecedented pace. What works today may be obsolete in six months. To stay competitive, you need a foundation that avoids lock-in and adapts as technology changes.”

Nick Chase — AI/ML Practice Director / Senior Director of Product Management
Nick Chase
Chief AI Officer at CloudGeometry,
Co-Chair of Linux Foundation AI&Data Committee

How does the open source LangBuilder stack up against proprietary SaaS AI platforms?

Open-Source LangBuilder AI Agent Platform Proprietary SaaS AI Platforms
Vendor Lock-InNo lock-in. Deploy on your cloud, VPC, or on-prem. Full ownership.Tied to vendor roadmap, pricing, and infrastructure.
Innovation SpeedRapid updates from global contributors; early access to new tools.Feature rollout depends on vendor priorities.
FlexibilityChoose your own LLMs, APIs, vector DBs, and tools. Modular & extensible.Limited to vendor-supported integrations.
TransparencyFull visibility into code, data pipelines, and agent logic.Black-box systems; limited visibility.
Cost StructurePay for infrastructure + services. No per-seat or usage lockups.Ongoing licensing/subscription costs that scale with usage.
CustomizationTailor workflows, tools, and agents to your unique business needs.One-size-fits-most; limited customization.
InteroperabilityBuilt around open standards, ensuring future compatibility.Proprietary protocols; risk of obsolescence.
Security & ComplianceRun entirely within your own infrastructure; align with your policies.Data processed in vendor environment; limited compliance scope.
Talent & SkillsBroad developer adoption; easier to hire and train teams.Specialized skills needed for vendor-specific platforms.
Support ModelCommunity + enterprise-grade managed services by CloudGeometry Vendor-controlled support with limited flexibility.
Platform Repo

See LangBuilder in Action

Explore the full source on GitHub.
Clone, run, and start building AI agents today.

GitHubGet the Code on GitHub
No lock-in, self-hosted
Works with your stack

Quick Setup

Platform deployment in minutes

Visual Builder

Drag-and-drop agent creation

Cloud Upgrade & Kubernetes Adoption. Modernize your cloud, optimize your architecture, and accelerate adoption—backed by proven expertise.

Instant Deploy

From prototype to production

Frequently Asked Questions

Can we use our existing data sources?
Yes. The platform connects to databases, APIs, file systems, and cloud storage. We help integrate your existing data infrastructure during setup.
What if we want to switch AI models later?
The platform is model-agnostic. Switch between OpenAI, Anthropic, or local models without rebuilding agents. Configuration changes only.
How much technical expertise do our teams need?
Basic users can build agents with the visual interface. Developers can write custom code. We provide training for both skill levels.
What happens if we outgrow the platform?
Open-source foundations means no lock-in. Export your agents, data, and configurations. Scale infrastructure as needed without vendor limitations.
Can we customize the platform for our specific needs?
Yes. Full source code access allows unlimited customization. CloudGeometry provides development support for major modifications.

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Build foundational AI knowledge across your organization
Industry-specific use cases and implementation strategies
Official certification for team members
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Infrastructure compatibility analysis
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ROI projections and cost estimates

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