Blaxel is not tied to a specific framework but rather 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 enables it to access Blaxel features through SDK commands in its code.

As such, you can build your agentic applications with anything from LangChain 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 (coming soon!)

Deploy LlamaIndex agentic systems on Blaxel.

Python

Create and deploy custom Python agents.

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 Inference 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.

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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:

Deep Research

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

Sales KPI Reporter

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

Social Post Generator

A powerful agent template for automated social media post generation.

Zendesk Ticket Analyzer

The agent processes Zendesk support tickets and provides automated analysis.

Similar Company Finder

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

Deploy a LangChain agentLangChain