Langbase
Also known as: Langbase AI, BaseAI
Serverless platform to build, deploy, and scale composable AI agents with built in memory, tools, and a unified API to hundreds of LLMs.
Langbase is a serverless developer platform for building, deploying, and monitoring composable AI agents, built on the idea that any developer, not only machine learning specialists, should be able to ship AI features. Its supporters describe it as the Vercel of AI or Docker containers for agents, and its core promise is that you write the logic while Langbase handles the infrastructure. There are no servers to manage and no heavy frameworks to learn; agents are assembled from a small set of composable primitives and deployed as scalable APIs in seconds. Founded by developer experience veteran Ahmad Awais and based in San Francisco, the platform processes billions of message tokens daily.
The central primitive is the Pipe, an AI agent exposed as a serverless API that augments a language model with retrieval, tools, and memory, and can generate its own search queries, pick tools, and decide what to remember. Pipes are composable and forkable, so teams can build on ready made open source agents. The second primitive is Memory, a managed long term memory and retrieval augmented generation service that bundles vector storage, file storage, semantic chunking, embedding, and reranking into a single API, which the company says is dramatically cheaper than running your own RAG stack. A unified API switches between hundreds of LLMs from providers like OpenAI, Anthropic, and Google with one line of code, avoiding vendor lock in.
Around these primitives, Langbase AI Studio gives a low code playground to build, version, and collaborate on agents with real data, GitHub style collaboration across engineering, product, and go to market stakeholders, and full observability of usage, cost, and traces. Agents extend through search, crawl, and MCP tools plus function calling and structured output, and the company offers Command, a vibe coding agent that turns prompts into production ready agents. An open source TypeScript framework called BaseAI supports local first development with one command deployment, and secure keysets manage provider keys with role based access control.
Langbase is delivered as a managed serverless cloud with usage metered in credits, agent runs, and memory read and write units. A free tier offers 500 credits, 500 runs, and 5 megabytes of memory. The Individual plan is $100 a month with 20,000 credits and unlimited runs, and the Growth plan is $250 a month with 75,000 credits and five organization seats. A custom Enterprise tier adds unlimited usage, high performance RAG, evaluations, SAML single sign on, RBAC, advanced rate limiting, and SOC 2, HIPAA, and GDPR compliance.
Vendor details
Canonical URL
https://langbase.com
Category
Agent infrastructure
Subcategory
Agent development platform
Funding status
Founded by Ahmad Awais, a developer experience veteran, and based in San Francisco. Backed by prominent developer-tool founders and operators, the platform processes billions of AI message tokens daily across thousands of developers. Independent.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
A unified API reaches hundreds of LLMs across providers like OpenAI, Anthropic, and Google with one line of code, and agents extend through search, crawl, and MCP tools plus function calling. Ships TypeScript and Python SDKs, a CLI, the AI Studio, and the open source BaseAI framework for local first development.
In practice
You want a support agent in your app without running vector databases or servers. You build a Langbase Pipe with a Memory store of your docs and deploy it as an API in minutes.
New models keep launching and you want to test them without rewriting integrations. Langbase's unified API lets you switch between hundreds of LLMs with one line, so your team can compare and swap providers freely.
Your product and engineering teams need to iterate on the same agent together. In Langbase Studio they version prompts, test RAG retrieval on real data, and watch cost and traces in one shared workspace.
Sources & related URLs
Related / legacy domains
Research sources
Capability coverage
7.5 / 14 capabilities · 54%
| Integrations & Tool CallingTool calling is first class: Pipe agents call tools including search, crawl, and MCP tools, with function calling and structured output, and can select tools and generate their own queries. | Full |
|---|---|
| Workflow OrchestrationProvides a Workflow primitive and supports composable multi agent architectures through the SDK, though orchestration is code driven rather than a visual or durable execution engine. | Partial |
| Knowledge Grounding & RAGCore product. Memory is a flagship managed RAG service with vector storage, file storage, semantic chunking, embedding, agentic routing, and reranking exposed as a serverless API for accurate, context aware retrieval. | Full |
| Human Oversight & GuardrailsSupports safety messages in prompt design, but offers no first class guardrails, content moderation, or human review and approval workflow. | Unable to verify |
| Security, Identity & GovernanceRBAC controlled key management through secure Keysets, and on Enterprise SAML single sign on, RBAC and access controls, advanced rate limiting, and SOC 2, HIPAA, and GDPR compliance, though deeper governance is Enterprise gated. | Partial |
| Observability & AuditabilityThe Studio and analytics dashboard provide usage, cost, quality, and trace visibility plus feature level analytics and prompt version control, though it is lighter than dedicated observability platforms. | Partial |
| Memory & State PersistenceFirst class memory and state: a managed long term Memory primitive plus Threads that store conversation messages for history and continuity, letting agents retain and recall state without managing infrastructure. | Full |
| Deployment & Data ResidencyThe managed platform is serverless SaaS only, but the open source BaseAI framework supports local first, self hosted agent development and one command deployment, giving a self host path for the runtime. | Partial |
| Prebuilt Agents, Templates & PacksOffers ready made, forkable open source agents and example agent architectures that teams can clone and customize, though not a full installable marketplace. | Partial |
| Triggers & Channel CoverageAgents are deployed and invoked as APIs, but there is no built in trigger system, scheduling, or conversational channel coverage; the developer wires invocation. | Unable to verify |
| Model Flexibility & RoutingStrong model flexibility through a unified API reaching hundreds of LLMs across providers with one line switching and configurable model presets and no vendor lock in, though it is flexibility rather than a cost or reliability routing gateway. | Partial |
| APIs, SDKs & MCP ExtensibilityComprehensive extensibility: TypeScript and Python SDKs, a CLI, REST APIs, agents exposed as APIs, MCP server support, and the open source BaseAI framework. | Full |
| Testing, Debugging & OptimizationThe AI Studio playground supports experimenting with and testing agents and RAG retrieval on real data with version control and real time iteration, plus evals on Enterprise, though dedicated evaluation tooling is lighter than specialized eval platforms. | Partial |
| Browser & Computer UseOffers a crawl tool for web data ingestion but no agentic browser control or computer use. | Unable to verify |
Pricing
From $100/mo · free tier (500 runs, 5MB memory)
Subscription tiers metered in Langbase credits, agent runs (each run is up to 1,000 tokens), and memory read/write units and storage
Included quota
Free $0 (500 credits, 500 runs, 5MB memory, 2 files, 5 public pipes). Individual $100/mo (20K credits, unlimited runs, 20MB memory, 20 files, 10 private pipes, 1 week logs). Growth $250/mo (75K credits, 50MB memory, 50 files, 30 private pipes, 5 org seats at $30/seat). Enterprise custom (unlimited).
What is public
Full self serve tier pricing (Free, Individual $100, Growth $250) with credit, run, memory, and seat limits is public; Enterprise is custom.
Billing mechanics
Subscription tiers that bundle Langbase credits, agent runs, and memory storage, with per run and per storage overage available on paid plans and per seat pricing on Growth. Each run is metered at up to 1,000 tokens.
Cost watchouts
A request over 1,000 tokens counts as multiple runs; memory storage caps (5 to 50 MB) and one week log retention on non Enterprise tiers can force an upgrade as data and history grow.
Variable cost rationale
Plans bundle credits, runs, and memory, but heavy usage consumes credits and can require purchasing run and storage overage, and a single request over 1,000 tokens counts as multiple runs, so cost scales with agent traffic and data volume.
Additional watchouts
Runs are capped at 1,000 tokens each, so larger requests consume multiple runs, and memory storage and files are tightly limited on lower tiers. Logs retention is only one week below Enterprise, and compliance, SSO, and RBAC are Enterprise only.
Overage / add-ons
Paid plans include credits and memory storage; additional usage beyond plan limits can be purchased at per run and per storage overage rates. Each agent run counts up to 1,000 tokens, so a 1,500 token request counts as two runs. Extra Growth seats are $30 each.
Sales call required
No — self-serve available
Free / trial
Free tier: 500 Langbase credits, 500 agent runs, 5MB memory, 2 memory files, 5 public pipes, community support.
Lowest paid plan
Individual $100/mo (20K credits, unlimited runs, 20MB memory)
Commercial notes
Self serve, developer led adoption with a free tier and low priced paid plans, scaling to a custom Enterprise tier for compliance, SSO, RBAC, and high performance RAG. Strong developer community and notable industry backing.
Key ambiguities
Per run and per storage overage rates above plan limits, and Enterprise pricing, are not public.
Cancellation / refund
Free, Individual, and Growth are self serve subscriptions with standard cancellation. Enterprise terms are contractual.
Support SLA / resale
Community support on Free, Individual, and Growth; dedicated forward deployed engineers and enterprise support on the Custom tier.
Missing data
Exact per run and per storage overage rates and Enterprise dollar pricing are not itemized publicly.
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