🌐 MultiMind SDK – Build AI Superpowers with One SDK: Agents, Models, Context, Orchestration. Anywhere.Framework for Python & JavaScript(Coming soon) – Fine-Tune, Train, Deploy with Compliance.
multimind.dev and the latest features in MultiMind SDK (Python)
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MultiMind SDK is the first unified orchestration layer to let developers build, compose, and run intelligent workflows across any AI model, any tool, any platform — locally or in the cloud — using Python or JavaScript. First EU based Compliance with fintuning, Multi Agent, Rag2.0, Memeory Types, MultiModel AI framework.
MultiMind SDK is a modular, AI orchestration framework built for developers, researchers, and AI builders. It supports both Python and JavaScript, letting you compose intelligent multi-agent systems across LLMs like GPT-4, Claude, Mistral, LLaMA, and custom models.
| Feature | Description |
|---|---|
| 🔀 ModelRouter | Dynamically switch between OpenAI, Claude, Gemini, Mistral, LLaMA, Ollama, Local models, or any API |
| 🧠 Multi-Agent DAG Engine | Chain agents using graph-based logic with planner-executor-judge loops |
| 🧩 AI Building Blocks | Use prebuilt Agent, Judge, Rewriter, Tool, or build your own |
| 🔌 Dual SDKs | Same power in Python and JavaScript (Node & browser) |
| 🛠️ Plug & Play Adapters | Easily integrate LLMs, RAG, vector stores, tools, or third-party APIs |
| 🌍 Web & Voice Ready | Power Chrome extensions, Web UIs, and voice agents (Whisper + TTS) |
| 🧬 Model-Agnostic Fine-Tuning | LoRA / QLoRA / PEFT compatible CLI (coming soon) |
| 🧠 Self-Evolving Loops | Implement reflexive Judge → Rewriter flows for continuous improvement |
| 🔒 Private by Design | Supports local-first LLMs, no vendor lock-in, privacy-focused from the ground up |
| 🚀 Built for Real-World Use | Already powering tools like ContextHop and Voice AI Agent |
| 🧰 LangChain Alternative | Lightweight, fully open, developer-first modular framework |
| 📦 Open-Source & Extensible | Apache 2.0 licensed, modular core, dev-friendly CLI and codebase |
- ✅ Dual SDKs: Python & TypeScript/JavaScript
- ⚡ ModelRouter, Judge, DAG, Rewriter & Agent APIs
- 🔌 LLM plug-and-play: OpenAI, Anthropic, Mistral, Ollama, Local
- 💻 Browser & Node.js support (for JS SDK)
- 🧠 Multi-Agent DAG Composition
- 📡 Chrome Extension & Voice Agent Ready
- 🛠️ Open-source, pluggable, dev-friendly
- 🔄 Cross-Language Support: Available in Python and JS (Node.js & browser environments)
- 🧠 Model-Agnostic: Supports OpenAI, Claude, Mistral, Gemini, LLaMA, local LLMs, and custom APIs
- 🕸️ Agent Graphs: Chain agents using DAG-based architecture with
ModelRouter,Judge, andRewriter - 🔌 Pluggable Architecture: Swap or combine models, routes, and tools dynamically
- 🌍 Developer-First: Unified CLI, simple API, detailed docs, and open standards
- 📡 Web Extension Compatible: Power tools like Chrome extensions with real-time agent routing
- 🛠️ Custom Tools: Integrate with retrieval, summarization, function calling, self-improvement loops
pip install multimind-sdk| Use Case | Description |
|---|---|
| 🤖 AI Assistants | Build chatbots, coding copilots, or voice assistants using multiple LLMs |
| 🔄 Context Switchers | Seamlessly move context between ChatGPT, Claude, Mistral, etc. |
| 🧩 RAG Pipelines | Build multi-hop retrieval and synthesis pipelines with routing |
| 🕹️ Multi-Agent Workflows | Chain agents using DAGs (e.g., planner → executor → summarizer) |
| 🔍 AI Browsers & Extensions | Inject AI into browsers with context routing (e.g., ContextHop) |
| 🧪 AI Evaluation Loops | Use Judge + Rewriter agents for self-improvement and A/B testing |
| 🧰 Low-Level LLM Interfaces | Build your own LangChain alternative using modular blocks |
A unit that wraps any LLM, tool, or custom logic.
from multimind_sdk.agents import OpenAIAgent
agent = OpenAIAgent(model="gpt-4", api_key="...")
response = agent.run("What's the capital of Germany?")Dynamically routes queries to the best LLM (OpenAI, Claude, local models).
from multimind_sdk import ModelRouter
router = ModelRouter(models=["gpt-4", "claude-3", "mistral"])
response = router.route("Summarize this legal contract.")from multimind_sdk import AgentGraph
graph = AgentGraph()
graph.add_node("planner", PlannerAgent())
graph.add_node("executor", ExecutorAgent())
graph.link("planner", "executor")
result = graph.run("Organize a webinar and invite speakers.")| SDK | Docs Link |
|---|---|
| Python | docs/ |
- 🤖 Custom AI Assistants
- 🔄 Context transfer extensions (LLM to LLM)
- 🧠 DAG-based reasoning pipelines
- 🛠️ RAG agents with fallback routing
- 🎙️ Voice call agents using TTS + ASR + LLM
- 🧑💻 Developer tools with embedded multi-model agents
- 🧪 Self-improving loops with Judges + Rewriters
- 🧠 Blogs & Tutorials: https://dev.to/multimindsdk
- 🐦 X (Twitter): @MultiMindSDK
- 💬 Reddit Community: r/OpensourceAI
Help us sustain open-source innovation:
👉 https://opencollective.com/multimind-sdk
Your sponsorships go toward:
- Continued SDK development
- Community support
- New agents and integrations
- Tutorials and docs
# Python SDK
git clone https://github.com/multimindlab/multimind-sdk
We welcome issues, PRs, examples, and ecosystem extensions!
This project is licensed under the Apache 2.0 License.
🌐 Built by MultiMindLab
Let me know if you'd like this pushed to both Python and JS repos or want the links updated dynamically.