Langbase

What is Langbase?

Langbase is a serverless platform for developers building AI agents and AI-powered product features. It combines model access, agent configuration, tools, memory, workflows, and observability so teams can move from an experiment to a deployed service without assembling every infrastructure layer independently.

Agents can use more than 600 language models, call tools and MCP servers, retrieve private context from Memory, and participate in durable multi-step or multi-agent workflows. The platform also provides a studio for testing, versioning, collaboration, traces, usage analysis, cost visibility, and evaluations.

How to Use Langbase

1. Create an agent and select a model provider and model.
2. Add instructions, tools, MCP integrations, and structured output requirements.
3. Upload documents or connect data to Memory for retrieval-augmented generation.
4. Combine agents and application logic into a workflow when the task has multiple steps.
5. Test behavior in the studio and inspect traces, retrieved context, cost, and latency.
6. Deploy through the platform API and evaluate production outputs continuously.

Core Features

• Unified model access: Use hundreds of models and switch providers with a small code change.
• Serverless agents: Configure and deploy agents without managing dedicated agent servers.
• Memory and RAG: Store files, retrieve relevant context, and inspect selected chunks.
• Tools and MCP: Connect agents to external capabilities and reusable tool servers.
• Durable workflows: Orchestrate multi-step and multi-agent work with retries and scheduling.
• Observability: Review traces, logs, usage, latency, and cost predictions.
• Evaluation and versioning: Compare behavior, manage changes, and collaborate across a team.

Use Cases

• Build support, research, document, and internal knowledge agents.
• Add RAG and agent features to web or mobile products.
• Coordinate specialized agents in a durable business workflow.
• Compare models and prompts before changing a production application.
• Monitor quality, retrieval, token use, and cost after deployment.

Pricing

The Free plan is $0 per month and lists 500 credits, 500 agent runs, five public Pipes, limited Memory, and community support. Individual is $100 per month, Growth is $250 per month, and Custom pricing adds enterprise capacity, security, access controls, and support. Model or usage costs should be checked against the current billing rules before production deployment.

Frequently Asked Questions

Does Langbase provide its own models?

It primarily provides a unified platform for using models from supported providers while adding agent, memory, workflow, and operations capabilities.

Can it support RAG?

Yes. Memory combines file storage, vector retrieval, and APIs for grounding agent responses in supplied data.

Is there a free plan?

Yes. The current pricing page lists a limited Free tier at $0 per month.