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Pricing sourced from Langbase · Last verified March 2026
Detailed feature comparison coming soon. Visit Langbase's website for complete plan details.
View Full Features →Pipes are serverless AI agent endpoints that bundle a prompt, model configuration, tools, memory connections, and guardrails into a single deployable unit. Unlike a raw LLM API call, a Pipe is versioned, observable, and model-agnostic — you can swap from GPT-4 to Claude to Llama without changing your application code, and every invocation is logged with cost, latency, and quality metrics.
Langbase Memory is a fully managed RAG layer that handles document ingestion, chunking, embedding generation, vector storage, semantic retrieval, and agentic re-ranking out of the box. Compared to self-hosting Pinecone, Weaviate, or pgvector, you skip the work of choosing embedding models, tuning chunk sizes, and building retrieval logic — but you trade some flexibility and pay per query rather than per stored vector.
Command Code is Langbase's frontier coding agent powered by taste-1, a proprietary neuro-symbolic AI model developed by Langbase that continuously learns a developer's or team's coding preferences through explicit and implicit feedback. Teams can share taste profiles using 'npx taste push/pull,' so consistent style and architectural choices propagate across contributors automatically.
Yes. Langbase supports hundreds of LLMs including open-source models served via providers like Together AI, Groq, Fireworks, and Anyscale, alongside hosted models from OpenAI, Anthropic, Google, Mistral, and Cohere. You configure the model per Pipe, and Langbase handles routing, retries, and observability uniformly.
Langbase is built specifically for production. The serverless runtime is globally distributed for low-latency inference, every Pipe ships with built-in logging and analytics, deployments are instant and versioned, and the platform exposes evaluation tooling for regression-testing agent quality. Many teams use it as their primary AI infrastructure rather than a prototyping sandbox.
AI builders and operators use Langbase to streamline their workflow.
Try Langbase Now →Dify is an open-source LLM app development platform that combines a visual workflow builder, RAG pipelines, agent tools, and an LLMOps backbone.
Compare Pricing →Visual builder for enterprise AI agents and workflows, with on-prem deployment and SOC2 compliance.
Compare Pricing →Flowise is an open-source visual builder for LLM apps, RAG pipelines, and multi-agent workflows that you can self-host for free or run on Flowise Cloud.
Compare Pricing →No-code platform for building AI agents and teams that automate sales, marketing, and ops workflows.
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