The Best Langdock Alternatives in 2026

Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.

Credo AI helps organizations inventory AI systems, enforce governance policies, demonstrate compliance, and manage model and agent risk.

Guardrails AI provides a framework for building, governing, and deploying reliability controls for generative AI systems.

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

Metorial connects employees, agents, and AI clients to company tools and skills with access controls and tracing.

Moderne coordinates AI coding agents across repositories with deterministic workflows and code-change controls.

Confident AI provides evaluation, observability, red-teaming, and governance tools for testing and monitoring AI systems.

Omnifact provides team access to multiple AI models and pseudonymizes personal data before sending prompts to providers.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Mistral offers models and tools for customizing, fine-tuning, and deploying assistants, agents, and multimodal AI.

Anaconda provides tools for developing, orchestrating, and deploying data science and AI projects.

Cortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production.

Labelbox provides data and simulated environments for training AI systems and deploying agents across business applications.

LiteLLM provides an AI gateway and LLM proxy with model routing, usage tracking, spend controls, and support for many providers.

Drafter lets teams build AI tools and automations without developers, with integrations to data sources and AI technologies.

Galileo evaluates, monitors, and protects generative AI applications through observability tools for AI teams.

ModAstera guides teams through data labeling, AI model building, validation, and deployment in one workflow.

lakeFS provides data version control for data lakes using Git-style workflows.

Prime Intellect provides compute, training, inference, and sandbox tools for training and deploying machine learning models.

Developers can use Superexpert.AI to build and deploy multi-task AI agents on an open-source platform, with a downloadable project and live demo.

Cerebrium provides serverless GPU infrastructure for deploying voice agents, video models, language models, and other AI workloads.

Quilt manages scientific data on AWS with versioned data packages for teams and AI.

Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.

RunComfy launches ComfyUI workflows in the cloud and offers GPU access and production API deployment.