Agent Skills implementation for Strands Agents SDK

Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.

Build and run agents you can see, understand and trust.

LLM agents as your hyperparameter optimizer.

Portable , scalable , secure AI Agents

Connect AI agents across any network — zero config, encrypted, skill-based routing

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

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

JavaScript in-page GUI agent. Control web interfaces with natural language.

Build effective agents using Model Context Protocol and simple workflow patterns

Declarative management of Agent Skills on Nix

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Unofficial Ruby SDK for Claude Agent

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

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

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

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

OWASP Foundation web repository

AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems. Focuses on financial intelligence, RAG pipelines, observability, and secure governance. ACP Openclaw, Gemini CLI, Opencode

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

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

TypeScript multi-agent framework that runs in your own environment: consequential actions wait for approval and every run leaves a verifiable record. Describe the goal, not the graph. 13 built-in providers (Claude, OpenAI, Gemini, DeepSeek and more) plus any OpenAI-compatible endpoint, local models included.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support