Go SDK for Anthropic Claude Code CLI – unofficial Claude Code Go agent SDK

Vercel AI SDK community provider for Claude Agent SDK

Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.

The Rust SDK for building coding agents. Tools, streaming, graph, sub-agent orchestration, MCP — as composable functions

Unofficial Ruby SDK for Claude Agent

Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.

Agent-native TypeScript framework for MCP servers.

C# coding-agent harness (.NET 10, Microsoft Agent Framework) — sessions, tools, permissions, providers, MCP, plugins

Agent-SDK without CLI dependencies, as an alternative to claude-agent-sdk, completely open source

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

AI said it finished. Flyto2 shows the proof.

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.

The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI

A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.

Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

OpenGUI is an Android GUI agent framework for phone-use AI that can see, plan, and operate real mobile apps through the GUI.

Rails Engine with MCP compliant Spec.

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.

MCP Server Framework and Tool Development library for building custom capabilities into agents.

TypeScript-first framework for the Model Context Protocol (MCP). You write clean, typed code; FrontMCP handles the protocol, transport, DI, session/auth, and execution flow.

Fluent argument validation for fluent software development.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.

The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.