Open Source SDK

One SDK.
Every AI Model.
Unlimited Agents.

The unified interface for all major language models. Build, fine-tune, and deploy AI applications with a single API.

multimind_demo.py
# Import the MultiMind SDK
from multimind import MultiMind
# Initialize the SDK
mm = MultiMind()
# Switch between any model with one line
>>>

Feature Highlights

Everything you need to build powerful AI applications with any language model

Unified API

One consistent interface for all major language models. Write once, run anywhere.

Fallback Logic

Automatic model fallback ensures your application stays resilient even when APIs fail.

Fine-Tuning

Fine-tune open-source models like Mistral and LLaMA using LoRA or QLoRA techniques.

Local Models

Run models locally with Ollama integration for privacy and reduced latency.

Cloud APIs

Seamlessly connect to cloud providers like OpenAI, Anthropic, and more.

Agent Tooling

Build sophisticated agents with memory, tools, and context routing capabilities.

Switch Models Seamlessly

One line of code to switch between any supported model

Switch between models with a single line of code:
from multimind import MultiMind
mm = MultiMind()
# Switch to GPT-4
mm.set_model("GPT-4")
# Result: Model switched to GPT-4

Latest from Our Blog

Insights, tutorials, and updates from the Ai2Innovate team

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Confused by all the AI terminology? This straightforward guide explains what artificial intelligence actually is and how you can start using it for practical projects today.

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Dec 15, 2023
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From idea to deployment: A step-by-step guide for beginners to create their first AI application without getting overwhelmed.

Jennifer Wu
Dec 10, 2023
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Fine-Tuning AI Models: A Practical Beginner's Guide Using Multimind SDK

Learn how to customize AI models for your specific needs without a PhD in machine learning - perfect for developers and enthusiasts getting started with AI.

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Nov 25, 2023
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What Are AI Agents? A Simple Guide for Beginners (Using Multimind SDK)

Confused about AI agents? This beginner-friendly guide explains what they are, how they work, and how you can build your own without writing code.

Sarah Johnson
Nov 15, 2023
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Building Next-Generation AI Agents Without Code: How Multimind SDK is Revolutionizing Enterprise Applications

Transform your business operations with intelligent AI agents that remember, reason, and collaborate - no coding required.

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Using Multimind SDK for E-Commerce Applications

Discover how to leverage Multimind SDK's capabilities for building AI agents with memory, planning, and multi-agent communication to transform your e-commerce platform.

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Demo Code Snippets

See how easy it is to work with any LLM using MultiMind

Simple Chat.py
from multimind import MultiMind
# Initialize the SDK
mm = MultiMind()
# Set your preferred model
mm.set_model("gpt-4") # Or "claude", "mistral", "llama", etc.
# Get a response
response = mm.chat("Explain quantum computing in simple terms")
# Print the response
print(response.text)
# Switch models on the fly
mm.set_model("claude")
response = mm.chat("Now explain it differently")

Supported Models and Providers

OpenAI logoOpenAI
Claude logoClaude
Mistral logoMistral
LLaMA logoLLaMA
Ollama logoOllama
HuggingFace logoHuggingFace

30+ models supported and growing

Built For

MultiMind serves diverse users across the AI ecosystem

AI Engineers

Build and deploy sophisticated AI applications with minimal overhead

Model Orchestration
Fine-Tuning
Prompt Engineering

Indie Hackers

Launch AI-powered products quickly without managing multiple APIs

Quick Prototyping
Cost Optimization
Flexibility

Startups

Avoid vendor lock-in and maintain flexibility as your needs evolve

Vendor Agnostic
Scalability
Future-Proof

Researchers

Compare model performance and experiment with fine-tuning techniques

Benchmarking
Experimentation
Academic Research

Product Teams

Integrate AI capabilities into existing products with minimal friction

Easy Integration
Consistent API
Reliability

Hobbyists

Learn and experiment with different models through a unified interface

Learning
Exploration
Personal Projects

MLOps Engineers

Automate deployment, monitoring, and lifecycle management of AI models in production.

CI/CD
Monitoring
Automation

Consultants

Deliver turnkey, AI-powered solutions to clients with customizable workflows and rapid prototyping.

Customization
Client Delivery
Integration

Educators & Trainers

Build interactive tutorials, workshops, and course materials using a unified SDK for hands-on AI learning.

Curriculum Development
Workshops
Hands-On Labs

Enterprise IT & Architecture Teams

Design, deploy, and govern AI infrastructure at scale across the organization.

Scalability
Security
Compliance

Junior AI Engineers

Get up to speed with AI fundamentals, sample projects, and best practices.

Tutorials
Starter Kits
Community Support

Data Scientists & Analysts

Leverage your data expertise to build AI-driven insights and end-to-end pipelines.

Data Processing
Model Evaluation
Visualization

Roadmap Preview

Our vision for the future of MultiMind

Phase 1

Core SDK

Unified API for all major LLMs with fine-tuning capabilities

  • Model abstraction layer
  • Fine-Tuning
  • Agent capabilities
  • Local model support
  • Cloud API integrations
  • CLI Interface
  • Router & Fallback
  • RAG & Orchestration
Phase 2

Visual Agent Builder

No-code interface for creating and deploying AI agents

  • Drag-and-drop workflow builder
  • Visual prompt engineering
  • Agent templates library
  • Performance monitoring
  • One-click deployment
  • One-Click Deployment
  • YAML ↔ UI Sync
Phase 3

Enterprise Features

Scale, secure, and govern your AI platform

  • Multi-Tenant Architecture
  • Advanced Security Controls
  • Custom Model Hosting
  • Audit Logging & Compliance
  • High-Availability Clustering
  • Data Encryption & Tokenization
  • Service-Level Agreements

Want to contribute? Check our GitHub or join our Discord to get involved.

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Connect with other developers and get support

Contribute

Help improve MultiMind with code contributions