Blaxel is a fully framework-agnostic infrastructure platform that helps you build and host your agents. It supports a range of the most popular AI agent frameworks, optimizing how your agent builds and runs no matter how you coded it.

Blaxel’s platform-agnostic design lets you deploy your code either on Blaxel or through traditional methods like Docker containers. When deploying on Blaxel, your agent goes through a specialized build process that gives it access to Blaxel features through SDK commands in its code. This low-level SDK connects you to MCP servers, LLM APIs and other agents that are hosted on Blaxel.

As such, you can build your agentic applications with anything from LangChain or Vercel AI SDK to pure TypeScript or Python, and deploy them with minimal upfront setup. Learn how to get started with Blaxel or clone one of our example repos to your favorite git provider and deploy it on Blaxel.

LangChain

Build and deploy LangChain agents on Blaxel.

CrewAI

Run multi-agent systems built with CrewAI on Blaxel.

LlamaIndex

Deploy LlamaIndex agentic systems on Blaxel.

Vercel AI SDK

Host agents built with Vercel’s AI SDK on Blaxel.

Mastra

Use Mastra framework to develop agentic AI on Blaxel.

OpenAI Agents SDK

Leverage OpenAI Agents SDK to create Blaxel agents.

PydanticAI

Create and deploy PydanticAI agents on Blaxel.

Google ADK

Run LLM agents or workflows of agents on Blaxel using Google’s Agent Development Kit (ADK).

Custom Python

Create and deploy custom Python agents.

Custom TypeScript

Create and deploy custom TypeScript agents.

Blaxel can integrate with your git provider to build and deploy new revisions for each pull request you make to your project.

Deploying on Blaxel with one of our supported frameworks gives you access to many features, such as:

  • Global Agentics Network: Deploy your agents and tools across multiple locations for lowest latency and highest availability, with smart global placement of workflows.
  • Model API Gateway: Access multiple LLM providers (OpenAI, Anthropic, MistralAI, etc.) through a unified gateway with centralized credentials and observability.
  • Agentics Observability: Track agent traces, request latencies, and comprehensive metrics through our observability suite.
  • Governance Policies: Define and enforce rules for deployment locations or token usage limits across your infrastructure.
  • Git Integration: Automatically build and deploy new revisions for each pull request in your project.
  • Rich Integrations: Connect your agents to 70+ various services and APIs including Slack, GitHub, or databases while keeping credentials secure.

​
To go further

Learn more about deploying your preferred framework on Blaxel with the following resources:

Read about our deployment features

See how Blaxel can help you bootstrap and deploy your AI agents.

Or explore our template marketplace on GitHub:

Semantic Tool Search

An agent powered by OneGrep for semantic tool search & selection, enabling effective autonomous actions even with a high number of tools.

Deep Research

An implementation of a deep research agent using LangGraph and GPT-4.

Corporate Cortex

An expert assistant with deep knowledge of your organization, providing contextually relevant responses to internal inquiries regarding resources, processes and IT services.

Sales KPI Reporter

This agent dynamically enriches context with data stored in a Qdrant knowledge base.

Social Post Generator

A powerful agent for automated social media post generation.

Zendesk Ticket Analyzer

The agent processes Zendesk support tickets and provides automated analysis.

Similar Company Finder

This agent analyzes companies using Exa Search Engine and finds similar ones, storying memory in a Qdrant knowledge base.