Frameworks

Semantic Kernel

Microsoft's open-source SDK for building AI agents and orchestrating LLM calls in C#, Python, and Java, designed for enterprise .NET and Java codebases.

Vercel AI SDK

Open-source TypeScript toolkit for building AI-powered applications and agents, with unified APIs across model providers and first-class React/Next.js streaming support.

Mastra

Open-source TypeScript agent framework from the team behind Gatsby, with built-in workflows, RAG, memory, and evals for building production AI agents in a JS-native stack.

LangSmith

LangChain's observability and evaluation platform for LLM applications, tracing every step of a chain or agent run and scoring outputs against test datasets.

StackSpot AI

Multi-agent platform covering the software development lifecycle, letting teams orchestrate agents for code generation, review, and deployment.

Claude Agent SDK

Anthropic's SDK for Python and TypeScript that exposes the Claude Code agent loop, tools, hooks and MCP support for building custom agents.

OpenAI Agents SDK

Lightweight open-source framework from OpenAI for multi-agent workflows with handoffs, guardrails and built-in tracing.

Pydantic AI

Python agent framework from the Pydantic team that brings type-safe, validated structured outputs and dependency injection to LLM apps.

Agno

Python framework (formerly Phidata) for building multi-agent systems with memory, knowledge and tools, plus a runtime for serving them.

smolagents

Hugging Face's minimal agent library where agents write and run their actions as Python code, working with any LLM.

Google ADK

Google's open-source Agent Development Kit for building, evaluating and deploying multi-agent systems, optimized for Gemini but model-agnostic.

Letta

Framework for building stateful agents with long-term memory that learn and self-improve over time.

Mem0

Memory layer for AI agents and apps that stores and retrieves user context across sessions.

Instructor

Library for getting validated, structured outputs from LLMs using Pydantic models.

BAML

Domain-specific language for writing type-safe LLM functions and structured prompts.

Strands Agents

Open-source, model-driven SDK from AWS for building and running AI agents in a few lines of code.

Genkit

Open-source framework from Google for building AI-powered apps with flows, tracing and model plugins.

Outlines

Structured generation library that guarantees LLM output matches a schema, regex or grammar.

LangChain

Open-source framework for building LLM applications, with integrations for over 100 model providers and a standard agent loop around create_agent.

Microsoft Agent Framework

Microsoft's open-source framework for building, orchestrating and deploying multi-agent systems in Python and .NET.

Langflow

Visual builder for AI agents and RAG workflows, with an API and MCP server for every flow.

Dify

Open-source platform for building agentic workflows and LLM apps with a visual canvas, RAG and observability.

Flowise

Open-source low-code tool for building LLM chatflows and agents with a drag-and-drop UI.

n8n

Source-available workflow automation platform with built-in AI agent nodes and hundreds of integrations.

Haystack

Open-source Python framework from deepset for building production RAG pipelines and agents, with a modular pipeline architecture that predates the current agent framework wave.

DSPy

Stanford's framework for programming language models declaratively, replacing hand-tuned prompt strings with modules that get automatically optimized against your own data.

Guidance

Programming paradigm for steering language models with constrained, interleaved control and generation.

Parsel

Research framework that breaks a programming task into natural-language function descriptions, then has a code LLM generate and test implementations.

Vibe Compiler

Self-compiling JavaScript tool that processes markdown prompt stacks through an LLM to generate code, then uses that process to rewrite itself.

DevOpsGPT

Open-source multi-agent system that turns natural-language requirements into working software, pulling and pushing code through Git. Around 6,000 stars.

LangGraph

LangChain's graph-based runtime for stateful agents, modeling each step as a node with checkpointing at every super-step for time-travel debugging.

CrewAI

Standalone Python framework for multi-agent systems, with no LangChain dependency, where agents get a role, a goal, and tools, then collaborate.

AutoGen

Microsoft Research's early multi-agent framework for Python, now in maintenance mode since October 2025, limited to bug fixes from community contributors.

LlamaIndex

Open-source data framework for RAG and agents over enterprise data, with 150-plus connectors through LlamaHub for sources like Notion and SQL.