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Documentation Index

Fetch the complete documentation index at: https://docs.blaxel.ai/llms.txt

Use this file to discover all available pages before exploring further.

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 and harnesses, 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 AI SDK to pure TypeScript or Python, or starting from a popular harness like Claude or OpenClaw — and deploy them with minimal upfront setup.

OpenClaw

Run OpenClaw in a Blaxel sandbox.

Anthropic Claude Agent SDK

Build and deploy Claude Agent SDK agents on Blaxel.

CrewAI

Run multi-agent systems built with CrewAI on Blaxel.

Google ADK

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

LangChain

Build and deploy LangChain agents on Blaxel.

LlamaIndex

Deploy LlamaIndex agentic systems on Blaxel.

Mastra

Use Mastra framework to develop agentic AI on Blaxel.

n8n

Orchestrate Blaxel agents using n8n workflows.

OpenAI Agents SDK

Leverage OpenAI Agents SDK to create Blaxel agents.

PydanticAI

Create and deploy PydanticAI agents on Blaxel.

AI SDK

Host agents built with AI SDK on Blaxel.

Custom agents

Create and deploy custom agents in Python or TypeScript.
Learn how to get started with Blaxel.
Last modified on May 14, 2026