A 65-line minimalist AI framework 🤯
Let Agents build Agents with zero bloat, zero dependencies, zero vendor lock-in 😮
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Multi-language:
Python and
Typescript support.
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Lightweight: Zero bloat, zero dependencies, zero vendor lock-in.
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Expressive: Everything you love—(Multi-)Agents, Workflow, RAG, and more.
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Agentic Coding: Let AI Agents (e.g., Cursor AI) build Agents—10x productivity boost!
Our documentation is inclusive, suitable for both biological and synthetic minds.
Start by selecting the reality that resonates with you, or perhaps the one you've been conditioned to believe:
>> I'm Carbon-Based 🐥 <<
>> I'm Silicon-Based 🤖 <<
Current LLM frameworks are bloated... You only need 65 lines for 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 |
The single file in python or typescript capture the core abstraction of LLM frameworks: Graph!
From there, it's easy to implement popular design patterns like (Multi-)Agents, Workflow, RAG, etc.
✨ Below are basic 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 |
👀 Want to see other tutorials for dummies? Create an issue!
🚀 Through Agentic Coding—the fastest LLM App development paradigm-where humans design and agents code!
- Want to learn Agentic Coding?
- To setup, read this post!
- Check out my YouTube! Read this Guide!
- Want to build your own LLM App? Start with our Python template or Typescript template!
We would like to extend our deepest gratitude to the creators and contributors of the PocketFlow framework, from which brainyFlow originated as a fork.
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.
BrainyFlow runs on 65 lines of code and your generosity! 💰
Help us deliver more AI with less code (but maybe more coffee)
☕
Your support helps keep it minimal, powerful, and dependency-free! 🚀