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Langbase: Serverless AI Developer Platform

Langbase helps software developers build AI agents without managing infrastructure. It is designed for teams that need to prototype and scale AI features using a composable serverless architecture.

At a glance

Best for
Software companies, AI developers, Engineering teams, Early-stage startups
Pricing
Pricing includes a Free tier (500 credits), an Individual plan at $100/month, and a Growth plan at $250/month. Enterprise pricing is custom and includes SOC 2 compliance.
Key use cases
Customer Service Agents, Knowledge Management, AI Translation, Content Generation, Code-Based Agents
Integrations
MCP server integrations, GitHub tool
Official website
langbase.com
Screenshot of Langbase website

Langbase is a serverless platform for developers to create and deploy AI agents, apps, and AI features. It provides a set of primitives—including memory, workflows, and a unified API—that allow users to integrate various large language models without managing containers or complex frameworks.

The platform is designed for software developers and engineering teams, including those who are not AI/ML experts. By providing tools for memory (RAG), observability, and collaboration, it supports moving from prototypes to production-grade agents.

Key capabilities include a unified API supporting over 600 LLMs and an AI Studio for experimentation and prompt versioning. This environment supports collaboration between developers and stakeholders to refine agent behavior before deployment.

Buyers should confirm if the serverless credit-based pricing fits their expected usage volume and verify if the security compliance, such as SOC 2, meets their organization's internal requirements.

Key Features

Unified LLM API

Provides a single interface to access and switch between over 600 different large language models.

AI Memory (RAG)

A serverless API with a built-in vector store and retrieval engine to support Retrieval-augmented generation.

Workflows

Supports the creation of multi-step AI agents with features such as retries and timeouts.

AI Studio

A collaborative playground for building, versioning prompts, and monitoring agents in real time.

Observability Tracing

Includes tracing tools to monitor agent steps, predict costs, and run evaluations.

Command Code

A coding agent using the taste-1 model designed to learn a developer's coding preferences.

Use Cases

Customer Service Agents

Building AI-powered support agents to handle customer inquiries.

Knowledge Management

Creating RAG-based agents that can answer questions based on company documentation.

AI Translation

Developing tools for automated language translation.

Content Generation

Using AI agents to support the creation of marketing or technical content.

Code-Based Agents

Building specialized agents for document and code analysis.

Best For

Software companiesAI developersEngineering teamsEarly-stage startups

Integrations

MCP server integrationsGitHub tool

Pricing

Pricing includes a Free tier (500 credits), an Individual plan at $100/month, and a Growth plan at $250/month. Enterprise pricing is custom and includes SOC 2 compliance.

FAQ

What is Langbase used for?

Langbase is used by developers to build, deploy, and scale serverless AI agents and features using a composable infrastructure that includes memory and workflows.

Does Langbase support multiple LLMs?

Yes, it provides a unified API that supports over 600 different large language models, allowing developers to switch providers with minimal code changes.

What are the pricing options for Langbase?

Langbase offers a Free tier, an Individual plan for $100/month, a Growth plan for $250/month, and custom Enterprise pricing.

Is Langbase suitable for non-AI experts?

The platform is designed to help all developers build AI agents by providing primitives and a studio environment that may reduce the need for specialized ML expertise.

Source category: Software Development

Source subcategory: AI Development Platform

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