Type-safe Python agent framework from the Pydantic team. Brings the FastAPI feeling to AI development. Composable tools, durable execution, and full IDE autocomplete.
Pydantic AI is a Python agent framework built by the team behind Pydantic, designed to bring the FastAPI developer experience to generative AI. It prioritizes type safety, giving your IDE and AI coding agent maximum context for auto-completion and type checking, moving entire classes of errors from runtime to write-time. Build agents from composable capabilities that bundle tools, hooks, instructions, and model settings into reusable units. Durable execution enables agents to preserve progress across transient API failures, restarts, and long-running human-in-the-loop workflows. It supports virtually every model provider: OpenAI, Anthropic, Gemini, DeepSeek, Grok, Cohere, Mistral, Ollama, Groq, OpenRouter, and Together AI. With 16K+ GitHub stars and weekly releases, it has become a go-to framework for Python developers who want production-grade agent infrastructure.
Multi-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.
Anthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.
Most popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.
Lightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.
Type-safe Python agent framework from the Pydantic team. Brings the FastAPI feeling to AI development. Composable tools, durable execution, and full IDE autocomplete.
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Subscribe FreeThe TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.
Frontend stack for agent-native apps. React hooks, prebuilt copilot UI, AG-UI runtime, frontend tools, shared state, and human-in-the-loop flows.
Anthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.
Deep comparison of the top AI agent frameworks - LangGraph, CrewAI, Mastra, CopilotKit, AutoGen, and Claude Code.
AI AgentsConfigure Claude Code for maximum productivity -- CLAUDE.md, sub-agents, MCP servers, and autonomous workflows.
AI AgentsWhat MCP servers are, how they work, and how to build your own in 5 minutes.
AI Agents
A new paper proposes inverting traditional agent architecture - making the append-only event log the source of truth, no...

A companion guide to the Agents 101 video: a behind-the-scenes walkthrough of building and deploying AI agents fast on V...

Google released DiffusionGemma today, a 26B MoE open model that generates entire 256-token blocks in parallel instead of...

Vercel just declared the agent stack: AI Gateway, Sandbox, Flags, and Microfrontends. Here is how the four primitives co...

One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.

Claude Code now has a native Loop feature for scheduling recurring prompts - from one-minute intervals to three-day wi...

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.