brainyflow 0.2.0

Minimalist AI framework in 65 Lines. Enable LLMs to Program Themselves.

A 65-line minimalist AI framework 🤯
_{Let Agents build Agents with zero bloat, zero dependencies, zero vendor lock-in 😮}

BrainyFlow is a framework enabling Agentic Coding through powerful abstractions.

It provides a simple interface for building complex AI applications based on nested directed graphs with shared state. It enables both humans and AI assistants to collaborate effectively on designing and implementing AI systems.

Features

• Brain-Easy 🧠: Intuitive for both humans and AI assistants
• Minimalist Design ✨: Core abstractions in just (you heard it right!) 65 lines of code
• Freedom 🔓: Zero bloat, zero dependencies, zero vendor lock-in.
• Composable 🧩: Build complex systems from simple, reusable components
• Powerful 💪: Supports everything you love—(Multi-)Agents, Workflow, RAG, and more.
• Agentic-Coding 🤖: Let AI Agents (e.g., Cursor AI) build Agents for 10x productivity
• Universal 🌈: Works with any LLM provider or API
• Polyglot 🌍: Python and Typescript are both supported.

Documentation

Our documentation is inclusive, suitable for both biological and synthetic minds.
Start by selecting your condition - or perhaps the one you've been conditioned to believe:

>> I'm Carbon-Based 🐥 <<

>> I'm Silicon-Based 🤖 <<

Why Brainy Flow?

Current LLM frameworks are bloated... You actually only need 65 lines for a robust LLM Framework!

	Abstraction	App-Specific Wrappers	Vendor-Specific Wrappers	Lines	Size
LangChain	Agent, Chain	Many (e.g., QA, Summarization)	Many (e.g., OpenAI, Pinecone, etc.)	405K	+166MB
CrewAI	Agent, Chain	Many (e.g., FileReadTool, SerperDevTool)	Many (e.g., OpenAI, Anthropic, Pinecone, etc.)	18K	+173MB
SmolAgent	Agent	Some (e.g., CodeAgent, VisitWebTool)	Some (e.g., DuckDuckGo, Hugging Face, etc.)	8K	+198MB
LangGraph	Agent, Graph	Some (e.g., Semantic Search)	Some (e.g., PostgresStore, SqliteSaver, etc.)	37K	+51MB
AutoGen	Agent	Some (e.g., Tool Agent, Chat Agent)	Many [Optional] (e.g., OpenAI, Pinecone, etc.)	7K (core-only)	+26MB (core-only)
BrainyFlow	Graph	None	None	65	few KB

How does BrainyFlow work?

The single file in Python or Typescript capture the core abstraction of LLM frameworks: Graph!

• Node handles simple (LLM) tasks with a clear lifecycle.
• Flow connects nodes through Actions (labeled edges).
• Shared Store enables communication between nodes within flows.
• Batch nodes/flows allow for data-intensive tasks.

From there, it's easy to implement all popular design patterns:

• Agent autonomously makes decisions based on context.
• Workflow chains multiple tasks into sequential pipelines.
• RAG integrates data retrieval with generation.
• Map Reduce splits data tasks into Map and Reduce steps.
• Structured Output formats outputs consistently.
• Multi-Agents coordinate multiple agents.

Tutorials

Name	Difficulty	Description
Chat	☆☆☆ Dummy	A basic chat bot with conversation history
RAG	☆☆☆ Dummy	A simple Retrieval-augmented Generation process
Workflow	☆☆☆ Dummy	A writing workflow that outlines, writes content, and applies styling
Map-Reduce	☆☆☆ Dummy	A resume qualification processor using map-reduce pattern for batch evaluation
Agent	☆☆☆ Dummy	A research agent that can search the web and answer questions
Streaming	☆☆☆ Dummy	A real-time LLM streaming demo with user interrupt capability
Multi-Agent	★☆☆ Beginner	A Taboo word game for asynchronous communication between two agents
Supervisor	★☆☆ Beginner	Research agent is getting unreliable... Let's build a supervision process
Parallel	★☆☆ Beginner	A parallel execution demo that shows 3x speedup
Thinking	★☆☆ Beginner	Solve complex reasoning problems through Chain-of-Thought
Memory	★☆☆ Beginner	A chat bot with short-term and long-term memory

And many more available for all levels! Check them all out!

Quick Start

New to BrainyFlow? Check out our Getting Started guide to build your first flow in no time.

Ready to Build Self-Coding Apps?

Check out Agentic Coding Guidance, the fastest way to develop self-coding LLM projects with BrainyFlow!

Acknowledgement

We would like to extend our deepest gratitude to the creators and contributors of the PocketFlow framework, from which brainyFlow originated as a fork.

Liability Disclaimer

BrainyFlow is provided "as is" without any warranties or guarantees.
We do not take responsibility for how the generated output is used, including but not limited to its accuracy, legality, or any potential consequences arising from its use.

Sponsors

BrainyFlow runs on 65 lines of code and your generosity! 💰
Help us deliver more AI with less code (but maybe more caffeine) ☕

Your support helps keep it minimal, powerful, and dependency-free! 🚀