BaseAI

:

️ 🖼Tool Name:
BaseAI.dev

🔖 Tool Category:
Anopen-source development platform with local-firstexpertise, based on TypeScript/JavaScript, for building and deploying high-performance and highly flexibleserverless AI agents.

️ ✏What does this tool offer?

• Build autonomous AI agents: Write in code (TS/JS) with modular design without complexity or boilerplate.

• CLI is ready: Simple commands like:
  - npx baseai@latest init to create a new project.
  - npx baseai deploy to deploy directly.

• Pipes (Smart Pipes): To build workflows and functions for the agent.

• Memory: Store and retrieve information using RAG.

• Tools: Connect the agent with APIs or other services.

• Deployment in a single cluster: Via Langbase as a serverless cloud.

• Seamless integration: With LLMs like OpenAI and Anthropic, and with web applications like React and Next.js.

• Modular design: small, reusable or customizable components.

⭐ What does the tool actually deliver based on user experience?

• Quick start: Create a new project with a single piece of code and then easily add pipes or tools.

• Local-First: Fully localized development → faster experience and direct control.

• Easy deployment: After local testing, deployment is done with a single command on Langbase.

• Clean API: Proxies can be treated like React Components or Routes.

• High flexibility: Parts of the system (pipes, memory, tools) can be swapped or reused.

🤖 Does it include automation?
Yes ✅

• Full automation in building agents via pipes.

• Automated one-command deployment.

• Automated management of memory, tools, and task distribution.

💰 Pricing Model:

• 100% free - the project is open source.

• No paid plans or usage restrictions.

🆓 Free Plan Details:

• The entire tool is free and open source.

• Can be started directly from GitHub or the official website.

• No registration or licenses needed.

💳 Paid Plan Details:

• There are no paid plans from BaseAI itself.

• Paid services (such as dedicated support or private hosting) are available via partners like Langbase, but they are outside the core of the tool.

🧭 Access Method:

• Visit BaseAI.dev or GitHub.

• Start a new project using the CLI.

• Add pipes/memory/tools as needed.

• Run locally and then deploy to the Langbase serverless platform.

🔗 Experience Link:
https://baseai.dev/?ref=