Allows you to emulate an Android native library, and an experimental iOS emulation

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

Semi-Structured Agentic Framework. Workflows build themselves as agents discover what needs to be done, not what you predicted upfront.

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.

Trigger.dev – build and deploy fully‑managed AI agents and workflows

The World's First Virtual Terminal for AI Agents

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

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

Composable agent runtime with enforced isolation boundaries

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

Local first, desktop companion platform with animated pets, plugin SDK and coding-agent integrations.

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

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

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

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

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

Control 1 or more machines using computer use tools that integrates with your agents

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.

Poirot is a deep research agent kernel built for those who care about how agents are architected.

Rails Engine with MCP compliant Spec.

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

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