BaseAI

BaseAI is now archived in the favor of Langbase AI Primitives. The more we built BaseAI the more we realized frameworks are a bad idea in AI engineering. This space is moving fast and frameworks become blockers. Instead you should be using AI primitives, like memory, pipes, agents that work with any language as APIs and with TypeScript and Python SDKs. You can use any coding agent, like CommandCode to make your own AI framework with these AI primitives. BaseAI is a great example how.

BaseAI

Getting Started

BaseAI is the AI framework for building serverless and composable AI agents with memory and tools. It allows you to develop AI agent pipes on your local machine with integrated agentic tools and memory (RAG). Visit our BaseAI.dev/learn guide to start with BaseAI.

Documentation (recommended)

Please check BaseAI.dev/docs and BaseAI.dev/learn to get started with full documentation.

1. Initialize a new BaseAI project

BaseAI is a TypeScript-first framework. To create a new BaseAI project, run the following command in your project:

npx baseai@latest init

This command will create a baseai directory in your project. This is what the directory structure looks like:

ROOT (of your app)
├── baseai
|  ├── baseai.config.ts
|  ├── memory
|  ├── pipes
|  └── tools
├── .env (your env file)
└── package.json

2. Add API keys

Copy the following in your .env file and add appropriate LLM API keys:

# !! SERVER SIDE ONLY !!
# Keep all your API keys secret — use only on the server side.

# TODO: ADD: Both in your production and local env files.
# Langbase API key for your User or Org account.
# How to get this API key https://langbase.com/docs/api-reference/api-keys
LANGBASE_API_KEY=

# TODO: ADD: LOCAL ONLY. Add only to local env files.
# Following keys are needed for local pipe runs. For providers you are using.
# For Langbase, please add the key to your LLM keysets.
# Read more: Langbase LLM Keysets https://langbase.com/docs/features/keysets
OPENAI_API_KEY=
ANTHROPIC_API_KEY=
COHERE_API_KEY=
FIREWORKS_API_KEY=
GOOGLE_API_KEY=
GROQ_API_KEY=
MISTRAL_API_KEY=
PERPLEXITY_API_KEY=
TOGETHER_API_KEY=
XAI_API_KEY=

3. Create a new AI agent

Pipe is your custom-built AI agent as an API. It's the fastest way to ship AI features/apps. Let's create a new pipe:

npx baseai@latest pipe

It will ask you for the name, description, and other details of the pipe step-by-step. Once done, a pipe will be created inside the /baseai/pipes directory. You can now edit the system prompt, change model params, and more. Here is what a pipe code looks like:

import { PipeI } from '@baseai/core';