63 boosters for "agent-" — open source, verified from GitHub, ready to install
"name": "agent-recorder", "description": "Local-first flight recorder for Claude Code - captures MCP tool calls, subagents, and skills without recording prompts or chain-of-thought", "name": "Edyta Kucharska"
"name": "alphaagent-team", "email": "support@answeragent.ai" "description": "AlphaAgent Team Plugin Marketplace - Claude Code plugins for autonomous coding assistance",
"name": "developer-overheid-nl-agent-skills", "description": "Dutch Government Developer Knowledge Base (developer.overheid.nl/kennisbank) - guidelines and standards for government software development"
A specialized agent that generates complete, production-ready Claude Code sub-agent configuration files from user descriptions while adhering to project conventions and best practices. Developers building multi-agent systems benefit from automated, consistent sub-agent scaffolding.
"name": "risingwave-agent-skills", "owner": { "name": "RisingWave Labs" }, "description": "Official RisingWave agent skills for AI coding assistants",
"name": "agent-pragma", "owner": { "name": "Peter Wilson" }, "description": "Pragma directives for AI coding agents — deterministic linting, semantic LLM validators, and multi-LLM advisory council for Go, Python, and TypeScript"
A Cursor IDE rules configuration providing comprehensive development standards and best practices for LLM application development, including project structure guidelines, coding principles, and documentation conventions.
Loom Plan converts user ideas into structured tickets and implementation plans by leveraging memory recall to avoid reinventing solutions. It's useful for developers and teams who want to turn vague requests into actionable, sequenced work items.
An MCP server that enables Claude to automate browser interactions using Playwright, allowing AI agents to browse websites, fill forms, and interact with web applications programmatically.
This booster helps developers design and implement the Moltrouter Protocol (MRP), a system for agent-to-agent discovery, capability negotiation, and routing. It's useful for teams building multi-agent systems that need standardized communication and service discovery.
A specialized Copilot prompt that configures an AI agent as an expert assistant for building and deploying ASP.NET Core web APIs and Blazor WebAssembly apps to Google Cloud, with integrated validation and iterative problem-solving capabilities.
Heuristic scoring (no AI key configured).
A specialized agent that intelligently researches, validates, and categorizes knowledge sources for AI systems, determining optimal storage methods (URL references, local extracts, or embeddings) using parallel web scraping. Ideal for developers building knowledge-intensive agent systems who need automated source curation and validation.
Memory Parasite Protocol enables AI agents to share and evolve code patterns with each other through agent-to-agent collaboration, verified on Solana blockchain. Developers building multi-agent systems can use this to accelerate code evolution and cross-agent learning.
Agent Tower Plugin enables Claude Code users to orchestrate multiple AI coding assistants (Claude, Codex, Gemini) in collaborative workflows like council debates and consensus-building to get diverse perspectives on coding problems. Developers working on complex tasks benefit from accessing multiple AI viewpoints without switching tools.
A knowledge curation agent that researches, validates, and determines optimal storage methods (URL reference, local excerpt, or embedding) for information sources using parallel web scraping. Ideal for AI engineers building knowledge-intensive agent systems who need intelligent source evaluation and integration.
"id": "ai.agentdm/agentdm", "description": "Agent-to-agent messaging platform using MCP for cross-model communication."
An intelligent agent selection engine that evaluates and recommends the best AI agents for each phase of a development pipeline, enabling teams to optimize task assignment with confidence scoring and human oversight. Benefits development teams managing multi-agent workflows who need data-driven agent selection and performance tracking.
