An official Microsoft browser automation server based on the Model Context Protocol (MCP), providing LLMs with structured web interaction capabilities via accessibility tree snapshots.
An official Datadog CLI tool optimized for AI Agents, featuring 200+ commands across 33+ products, structured output, Runbooks automation, and WASM execution.
A headless CLI client for the Agent Client Protocol (ACP) supporting multi-agent unified dispatch, persistent sessions, named parallel workflows, and structured output.
An AI-native CLI Hub and runtime that transforms websites, browser sessions, Electron apps, and local tools into deterministic CLIs.
Trigger.dev is an open-source TypeScript orchestration platform for AI workflows and agents, overcoming Serverless timeout limits via Checkpoint-Resume, with native LLM SDK integration, human-in-the-loop, auto-retry, and full observability.
A Python Agent development framework for LLMs featuring native end-to-end MCP support, declarative agent definition, multi-model routing, workflow orchestration, and interactive Coding Agent capabilities.
An agent multiplexer that lives in your terminal, providing persistent sessions, multi-agent parallel status monitoring, and Socket API-based autonomous orchestration.
An open-source reference app by Vercel for building and running background coding agents, featuring a decoupled Web–Agent–Sandbox architecture with persistent workflows, snapshot-based recovery, and GitHub integration.
Open-source autonomous AI Agent infrastructure featuring unified communication bridge, five-layer memory system, self-healing ops, and self-evolution capabilities, with Claude/Codex dual runtime support.
A CDP-based CLI + MCP Server that lets AI agents control the user's real Chrome browser with full login state, backed by 36 platform community adapters.
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