How much does DSPy cost?

Pricing model: Open source (MIT). Check the official site for current pricing.

What are alternatives to DSPy?

LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK

Stanford framework for programming—rather than prompting—language models, with optimizers for prompts and weights.

Low-level orchestration framework from LangChain for building stateful, multi-step agents as graphs, with persistence and human-in-the-loop support.

Popular framework for building LLM applications and agents with composable chains, tools, retrievers and integrations.

Python framework for orchestrating role-playing, collaborative multi-agent "crews" with tasks and processes.

Microsoft's open-source framework for building multi-agent conversational applications.

Lightweight OpenAI SDK for multi-agent workflows with handoffs, guardrails and tracing.

Data framework for connecting LLMs to your data, with agent and workflow abstractions for RAG-heavy agents.

Microsoft SDK for integrating LLMs into apps with plugins, planners and agent abstractions.

Agent framework from the Pydantic team focused on type-safe, structured outputs and dependency injection.

Hugging Face's minimal library for agents that think and act in code.

TypeScript agent framework with workflows, memory, RAG, evals and integrations.

TypeScript toolkit for building AI apps and agents with streaming, tool calling and multi-provider support.

Python framework (formerly Phidata) for building multi-modal agents with memory, knowledge and tools.

deepset's open-source framework for production RAG pipelines and agents.

Google's open-source toolkit for building, evaluating and deploying agents, optimized for Gemini.

Open-source multi-agent framework and research community studying agent societies.

Framework (from the MemGPT team) for stateful agents with long-term memory.

Anthropic's SDK for building agents on the same harness that powers Claude Code.