82 boosters for "agent-" — open source, verified from GitHub, ready to install
"name": "agent-callable", "name": "Platform Team", "email": "820504+grams@users.noreply.github.com"
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.
Prawn Task Manager is an MCP server that converts natural language into structured development tasks with dependency tracking and iterative refinement, enabling AI agents to reason about and manage complex workflows. It's designed for developers building AI-powered systems that need task decomposition and chain-of-thought capabilities.
Heuristic scoring (no AI key configured).
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.
MoltBookDownDetector is an uptime monitoring tool that probes Moltbook endpoints to report reachability, latency, and failures—useful for agents and developers who need real-time status visibility. It solves the practical problem of detecting service degradation across regions and operation types.
An intelligent agent selection system that evaluates and ranks AI agents for different SDLC phases, enabling teams to automatically match optimal agents to tasks with confidence scoring and human oversight. Ideal for organizations managing multi-phase software development pipelines with diverse agent capabilities.
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.
An MCP server that enables intelligent meeting scheduling through agent-first polling, allowing humans and AI agents to collaboratively find optimal meeting times. Developers building multi-agent systems and scheduling applications benefit from this integration.
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.
Cursor rules booster providing structured guidance for implementing LangGraph nodes, edges, and graph definitions with logging best practices. Helps developers building AI agent POCs ensure consistent, maintainable graph architecture.
"id": "ai.borealhost/mcp", "name": "BorealHost", "description": "Agent-native web hosting — deploy sites, manage DNS, register domains, scale infrastructure",
agentic-architect guides developers through designing multi-agent systems by analyzing whether problems need AI agents or traditional code, offering three modes (CREATE, AUDIT, EVOLVE) for different project stages. It benefits architects, senior engineers, and teams building AI-powered applications.
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.
"id": "ai.agentdm/agentdm", "description": "Agent-to-agent messaging platform using MCP for cross-model communication."
