“coding”

TypeScript library that lets agents call MCP and UTCP tools by running model-written code in a sandbox.

Minimal TypeScript agent harness with an agent runtime, multi-provider LLM API, terminal UI and coding agent CLI that users extend themselves.

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

Code-first Go toolkit for building agents with a tool ecosystem, composable multi-agent systems and Cloud Run deployment.

Rust library for LLM applications with agents, tool calling, streaming and 20+ model providers, plus a terminal coding agent.

Open-source agent harness for stateful agents whose memory persists and improves with use, with a terminal UI, app server and TypeScript SDK.

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.

Code-first Java toolkit for building and testing AI agents, with multi-agent hierarchies, a dev UI and Maven packages.

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

Open-source agent harness from LangChain for building agents with code, with LangSmith for testing and monitoring.

JVM framework for agentic flows that plan toward goals, mixing LLM calls with code and domain models, usable from Kotlin or Java.

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.

Open-source agent harness that runs the model loop for you, with MCP tools, skills, sandboxing, approvals and a chat UI.

TypeScript toolkit for agents with Zod-typed tools, graph and multi-agent workflows, and Node.js or browser runtimes.

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.