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BaseAI.dev

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Overview

A TypeScript framework for building AI pipes with tools and retrieval memory, locally and on Langbase.

BaseAI lets developers define an AI pipe in TypeScript, attach tools and document memory, and test it through a local development server. It supports retrieval over supplied content and model configuration, including documented Ollama workflows. A deployment command publishes supported resources to Langbase.

Local development and local model inference are separate choices: a pipe configured with a hosted model still sends requests to that provider. Developers supply credentials, tools, documents and application logic, and control access to the resulting service. The video demonstrates an earlier BaseAI and Langbase workflow.

Product overview

Capabilities, pricing and fit

A TypeScript framework for building AI pipes with tools and retrieval memory, locally and on Langbase.

Information as of October 13, 2026

What it can do

  • Typed pipes

    Configure models, instructions and callable tools in application code.[1], [2], [3], [4]

  • Retrieval memory

    Prepare documents for retrieval in an AI workflow.[1], [2], [3], [4]

  • Local and hosted options

    Develop locally, use Ollama where configured and deploy to Langbase.[1], [2], [3], [4]

Where it fits best

Pricing and availability

BaseAI is open-source software. Hosted model usage, local hardware and Langbase deployment are separate resources with their own costs and limits.[1], [2], [3], [4]

Access: Developer-managed application or research environment.[1], [2], [3], [4]

Sources (4)
  1. baseai.dev — ProductOfficial site · checked 2026-10-13
  2. github.com — Documentation and product detailsOfficial site · checked 2026-10-13
  3. baseai.dev — Documentation and product detailsOfficial site · checked 2026-10-13
  4. baseai.dev — Documentation and product detailsOfficial site · checked 2026-10-13

Autonomy level

70/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: BaseAI runs configured pipes that combine a model, tools and retrieval memory. Those pipes can execute multi-step application tasks, but developers define the tools, data, model and surrounding control flow, initiate deployment and review results. Local development does not make a pipe independently responsible for its goals or operations.

Comparisons


Custom Comparisons

Some of the use cases of BaseAI.dev:

  • Building a document-aware assistant in TypeScript
  • Testing AI tools and pipes locally
  • Deploying supported workflows to Langbase

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Popularity level: 67%

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