AI Agents

Programming framework for algorithmically optimizing LM prompts

DSPy is a Stanford research framework that replaces manual prompt engineering with programmatic optimization. It treats prompts and LM calls as declarative modules and automatically optimizes them using optimizers like BootstrapFewShot and MIPRO.

Microsoft's framework for multi-agent AI conversation and automation

AutoGen (by Microsoft) enables developers to create LLM applications using multiple agents that can converse, delegate tasks, and collaborate. It supports complex agent topologies including human proxy agents and code-executing agents.

Microsoft's SDK for integrating LLMs into apps with plugins and planners

Semantic Kernel is an open-source SDK from Microsoft that orchestrates AI models with native code, enabling developers to build AI applications that combine functions, plugins, memory, and planners in C#, Python, and Java.

The most widely adopted framework for building LLM-powered applications

LangChain is an open-source framework for building applications powered by large language models. It provides composable building blocks for chains, agents, memory, RAG pipelines, and tool integrations across 50+ LLM providers.

Build stateful, multi-actor AI agent applications with graph-based workflows

LangGraph is an open-source framework for building stateful, multi-actor applications using LLMs. It models agent workflows as directed graphs, enabling complex control flows, human-in-the-loop patterns, and persistent state for production agents.

Production-grade AI agent framework built by the Pydantic team

PydanticAI is a Python framework for building production AI agents with type-safe structured outputs, dependency injection, streamed responses, and seamless integration with popular LLM APIs.

Data framework for building RAG and agentic AI applications

LlamaIndex (formerly GPT Index) is an open-source data framework for building LLM-powered applications. It provides data connectors, indexing, retrieval, and query engines purpose-built for RAG, agents, and knowledge assistants.

Framework for orchestrating role-playing, autonomous AI agents

CrewAI is an open-source framework for orchestrating multi-agent systems where agents take on roles, share goals, and collaborate to complete complex tasks. It enables building autonomous teams of AI agents with minimal boilerplate.