“coding”

Open-source online code execution system that runs submitted code in a sandbox behind an HTTP JSON API.

Small Python library whose agents write their actions as code, with sandboxed execution and tools from MCP servers, LangChain or the Hub.

Python SDK that runs the Claude Code agent loop inside your own program, with custom tools and hooks written as Python functions.

Open-source Python framework for multi-agent systems: agent societies, memory, RAG, code interpreters, synthetic data and large-scale simulation.

Python framework for writing language-model programs as code and optimizing their prompts and weights instead of hand-tuning prompts.

Python framework for LLM applications built on Qwen models, with function calling, MCP, a code interpreter and RAG options.

CLI-first Python agent framework and coding agent with MCP, A2A and Agent Skills support, live streaming and human input.

Python and TypeScript SDK and REST Agent Server for building agents that work with code in local or containerized workspaces.

Low-code Python framework for YAML-defined agents and multi-agent Cogs, with personas, prompt templates and memory nodes.

Multi-language SDKs for embedding the GitHub Copilot agent runtime, with planning, tool calls and file edits, in your apps.

Managed Microsoft Foundry service for building, deploying and scaling AI agents, with a Python client library on PyPI.

Typed Python SDK for building agents with swappable model providers, plus optional capabilities for memory, sub-agents, planning and durable execution.

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.

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.