“coding”

Open-source toolkit for building, evaluating and deploying agents in Python, TypeScript, Go, Java and Kotlin, tuned for Gemini but model-agnostic.

SDK for browser agents with act, observe and extract calls, used from TypeScript and Python to automate sites and pull out structured data.

TypeScript toolkit for AI apps and agents with a unified provider API, streaming, UI hooks and a wrapper for running established agent harnesses.

Java library with one API over LLM providers and vector stores, plus tools, RAG and integrations for Quarkus and Spring Boot.

Python SDK for deploying agents to Amazon Bedrock AgentCore, a managed runtime with memory, gateway, tools and observability.

Python runtime and framework for long-running agents, with durable sessions, approvals, spend caps and multi-agent collaboration.

Browser infrastructure for AI agents: local and cloud Playwright-based browser sessions, scraping and deployable browser functions.

Reinforcement-learning trainer of about 3,500 lines that trains models behind agents run in their own harnesses, locally or as Kubernetes jobs.

Sample projects for the Strands Agents SDK, showing how to build agents in Python and TypeScript; not intended for production use.

OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.

Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.

Policy enforcement, identity, sandboxing and reliability tooling for autonomous AI agents, installable with one pip command.

Python framework for generative AI agents, pipelines and parallel workflows, with RAG engines, tools, memory and swappable drivers.

Python framework for LLM apps built from collaborating agents that hold conversation state, tools and vector-store memory.

Python library that turns files in S3, GCS and Azure into versioned, typed datasets for pipelines and agents.

Ruby library for LLM-powered apps with a unified LLM interface, prompt tools, output parsers, RAG and assistants.

Archived Microsoft Python framework for multi-agent apps; Microsoft directs new users to Microsoft Agent Framework.

Model-agnostic SDK for building agents and multi-agent systems in Python, .NET and Java; Microsoft names Agent Framework as its successor.

Library for LLM post-training (SFT, DPO, GRPO and agentic RL) and classic RL, with evolutionary hyperparameter optimization.

JavaScript framework for multi-agent teams whose tasks move across a Kanban-style board you can watch.

Python multi-agent framework that gives LLM agents software-company roles and SOPs to turn a one-line requirement into a project repository.