💡 What is MultiMind SDK?
MultiMind SDK is a deep tech, model-agnostic AI development framework that gives you full control over fine-tuning, RAG, agent workflows, and model orchestration. Whether you're building healthcare chatbots, financial copilots, or custom private LLMs, MultiMind is your toolkit.
🔧 Key Features at a Glance
🧬 Model-Agnostic LLM Orchestration
Run workflows across GPT, Claude, Mamba, RWKV, Falcon, Mixtral & more.
🛠️ Next-Gen Fine-Tuning
Supports LoRA, QLoRA, UniPELT+, MAML, Adapters. Optimized for CPU/GPU, quantization-ready.
📚 RAG 2.0 – Retrieval-Augmented Generation
Hybrid context: Vector + Graph. Auto-chunking, semantic compression, metadata filtering.
🧠 Agent Framework with Tool Use
Build AI agents with memory, reasoning, tool-calling, and dynamic LLM routing.
🔐 Compliance Layer Built-In
Enable GDPR/HIPAA/SOC 2 compliance with PII redaction, logging, access tracking.
🚀 Deployment Ready
Export to GGUF, ONNX, TorchScript, TFLite. Run on Hugging Face, Ollama, browser, or edge.
🔧 Full-Stack AI Toolkit
Everything you need: Training → RAG → Agents → Deployment → Compliance
🧬 Model-Agnostic Orchestration
Route tasks dynamically between Transformers (e.g. GPT) and Non-Transformers (e.g. RWKV, Mamba)
🛠️ Fine-Tuning Engine
Supports LoRA, QLoRA, UniPELT+, MAML, Reptile, Adapters with research-grade techniques
📚 Advanced RAG
Hybrid retrieval (Vector + Graph), semantic chunking, metadata tracking
🤖 Agent Framework
Custom agents with tool use, memory, chat workflows, model control
🛡️ Privacy & Compliance Ready
GDPR, HIPAA, SOC 2, PII redaction, cost tracking, audit logs
🚀 Model Optimization
Converts to GGUF, ONNX, Safetensors, quantization + pruning
🧠 Deep Tech Innovation at the Core
Unlike wrapper tools, MultiMind SDK builds true deep tech infrastructure:
Dynamic orchestration across non-transformers like RWKV & Mamba
True multi-architecture support beyond just Transformers
LoRA + UniPELT-style tuning workflows inspired by state-of-the-art ML papers
Research-grade fine-tuning techniques in production
Native support for model optimization, deployment, and conversion
End-to-end pipeline from training to deployment
Multi-architecture support (Transformers, RNNs, SSMs)
Universal interface across all model architectures
This makes it one of the most advanced open-source SDKs for fine-tuning and orchestrating LLMs in regulated environments.
Example in Action
See how MultiMind SDK simplifies complex AI workflows with enterprise-grade capabilities
from multimind.client.rag_client import RAGClient, Document
# Initialize RAG client with hybrid retrieval
client = RAGClient(
vector_store="faiss", # or "chromadb"
embedding_model="openai",
knowledge_graph=True
)
# Add documents with metadata
await client.add_documents([
Document(
text="MultiMind SDK is a model-agnostic framework...",
metadata={"type": "intro", "category": "documentation"}
)
])
# Query with hybrid retrieval
answer = await client.query(
"What is MultiMind SDK?",
retrieval_mode="hybrid", # vector + knowledge graph
max_tokens=500
)
print(f"Answer: {answer.text}")
print(f"Sources: {answer.sources}")
print(f"Confidence: {answer.confidence}")🧪 Use Cases
Real-world applications where MultiMind SDK delivers enterprise-grade AI solutions
🏥 Healthcare AI Assistants
Fine-tune compliant medical models with PII redaction
🧾 Financial Copilots
Secure, auditable agent workflows for document analysis
📞 RAG + Chat + Agents
Combine Retrieval, Agents, and Tool Use for copilots
💻 On-Prem/Offline LLMs
Convert to GGUF/ONNX and run local models securely
🔁 Multi-Model Orchestration
Route tasks to GPT, Claude, RWKV, or Mamba intelligently
Works with 30+ Models and Providers
OpenAI
Claude
Mistral
LLaMA
Ollama
HuggingFaceTransformer & Non-Transformer models supported
Built For
MultiMind serves diverse users across the AI ecosystem
AI Engineers
Build and deploy sophisticated AI applications with minimal overhead
Indie Hackers
Launch AI-powered products quickly without managing multiple APIs
Startups
Avoid vendor lock-in and maintain flexibility as your needs evolve
Researchers
Compare model performance and experiment with fine-tuning techniques
Product Teams
Integrate AI capabilities into existing products with minimal friction
Hobbyists
Learn and experiment with different models through a unified interface
MLOps Engineers
Automate deployment, monitoring, and lifecycle management of AI models in production.
Consultants
Deliver turnkey, AI-powered solutions to clients with customizable workflows and rapid prototyping.
Educators & Trainers
Build interactive tutorials, workshops, and course materials using a unified SDK for hands-on AI learning.
Enterprise IT & Architecture Teams
Design, deploy, and govern AI infrastructure at scale across the organization.
Junior AI Engineers
Get up to speed with AI fundamentals, sample projects, and best practices.
Data Scientists & Analysts
Leverage your data expertise to build AI-driven insights and end-to-end pipelines.
📈 Vision
One SDK for the AI World
MultiMind SDK aims to become the universal interface for LLM operations—where models, agents, and workflows converge securely, compliantly, and scalably.
Roadmap Preview
Our vision for the future of MultiMindSDK
Core SDK
Unified API for all Transformer & Non-Transformer Models with fine-tuning capabilities
- Model abstraction layer
- Fine-tuning engine (LoRA, QLoRA, Adapters, MAML)
- AI agent orchestration (multi-model routing, fallback logic)
- Local + cloud model support (OpenAI, RWKV, Ollama, Mamba)
- Built-in integrations with Hugging Face, Ollama, OpenAI
- CLI and YAML interface
- Multi-model router & fallback logic
- RAG-ready (vector + graph retrieval orchestration)
MultiMindLab – No-Code AI Builder
Build & Deploy AI Models, Agents, and Workflows
- Fine-tune Transformer & Non-Transformer models (RWKV, Mamba)
- Visual drag-and-drop agent builder
- Reusable AI templates for domains (Healthcare, Legal, Finance, etc.)
- Visual prompt + logic flow editor
- One-click deployment to Hugging Face, GCP, Azure, AWS, Ollama, Edge
- Model conversion to ONNX, GGUF, TFLite, Safetensors
- MCP (Multi-Cloud Publish) for hybrid/on-prem rollout
- UI ↔ YAML ↔ CLI sync for technical and non-technical users
- Agent performance monitoring and live test runs
Enterprise & Governance Layer
Scale, Secure & Govern Your AI Infrastructure
- Multi-tenant, role-based user & org management
- Advanced security (OAuth2, RBAC, API tokens)
- Custom model hosting with version control
- Audit logging, GDPR/HIPAA/SOC2 support
- High-availability clustering + multi-node deployment
- End-to-end encryption, tokenization & secret vaulting
- SLA-enforced hosting plans for regulated industries
- Cost tracking, usage metrics, billing hooks
- Plugin architecture to integrate tools like ServiceNow, Salesforce, CRMs