“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.

TypeScript SDK that gives programs Claude Code's built-in tools for reading, editing and running code, installed from npm.

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

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

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

Open agent harness for AI applications, with a YAML-configured coding agent, sessions, tools, MCP support and a CLI.

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

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.

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.

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

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

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.