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Pricing sourced from Rig · Last verified March 2026
Detailed feature comparison coming soon. Visit Rig's website for complete plan details.
View Full Features →Choose Rig when you need performance, type safety, and low memory footprint — API servers handling thousands of concurrent requests, embedded systems, or when reliability is paramount. Choose LangChain for rapid prototyping and ecosystem breadth.
Yes, through the OpenAI-compatible API. Point Rig's OpenAI provider at Ollama's endpoint for local model development.
Rig is used in production by several companies. The API is stabilizing but still evolving. Check the latest version for breaking changes.
Rig focuses on single-agent pipelines with tool use. Multi-agent orchestration can be built on top using Rig's composable pipeline system and Tokio's async primitives.
The industry-standard framework for building production-ready LLM applications with comprehensive tool integration, agent orchestration, and enterprise observability through LangSmith.
Compare Pricing →Open-source Python framework that orchestrates autonomous AI agents collaborating as teams to accomplish complex workflows. Define agents with specific roles and goals, then organize them into crews that execute sequential or parallel tasks. Agents delegate work, share context, and complete multi-step processes like market research, content creation, and data analysis. Supports 100+ LLM providers through LiteLLM integration and includes memory systems for agent learning. Features 48K+ GitHub stars with active community.
Compare Pricing →LlamaIndex: Build and optimize RAG pipelines with advanced indexing and agent retrieval for LLM applications.
Compare Pricing →a Python agent framework from the Pydantic ecosystem for building type-safe, production-grade generative AI applications.
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