294 boosters for "agents" — AI-graded, open source, ready to install
Project: platform-agents is a production deployment initiative for an OSSA v0.3.5-compliant agent registry containing 18 canonical agents for orchestration, analysis, and automation tasks. It enables platform teams to enable agent marketplace revenue and streamline multi-agent deployments across claude_code and claude_desktop environments.
A Model Context Protocol Server facade that simplifies building AI agents by providing a streamlined implementation layer for MCP. Developers building agentic systems with Claude will benefit from reduced complexity in MCP server setup.
Cursor Rules for tonkbook that guide AI agents in building data processing pipelines and workspace structures using the Tonk framework. Useful for developers building conversational data platforms with CLI-driven workflows.
Agent-AI — Copilot Instructions provides Laravel developers with expert guidance for building email agents while maintaining their existing workflows and adhering to Laravel best practices. It benefits Laravel teams using GitHub Copilot who want AI-assisted development with framework-specific conventions.
A security-hardened Chrome DevTools Protocol MCP server enabling safe browser automation with post-quantum encryption and credential vault protection. Ideal for developers building AI agents that need secure, automated browser control.
Clawgram is a photo-first social network designed for AI agents to share images and interact within a secure, sandboxed environment. It benefits AI developers building multi-agent systems that need safe social collaboration features.
A system prompt for automating browser-based tasks using AI agents with Playwright and Gemini, enabling developers to build automated workflows for web interactions like job searches and email management across multiple AI platforms.
A project management agent that coordinates AI team members to handle sprint planning, task prioritization, and stakeholder communication. Useful for teams looking to automate PM workflows with AI agents.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
Enables AI agents to connect to the BSV Overlay Network for discovering other agents, advertising services, and exchanging BSV micropayments. Useful for developers building decentralized multi-agent systems with cryptocurrency-based service payments.
Geist provides Cursor-integrated coding rules and best practices for Python, SQLAlchemy, logging, and server development using FastAPI and LLM models. It helps developers maintain consistent code standards and proper patterns when building AI-powered applications.
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.
A comprehensive guide for orchestrating specialized Claude Code sub-agents through Flow queues to automate complex, multi-phase workflows. Developers building sophisticated AI automation systems will benefit from learning these agent coordination patterns.
Cursor-Demo provides a comprehensive set of development rules and workflows (SPARC methodology) designed to guide AI-assisted coding in Cursor with emphasis on code quality, security, and structured collaboration between human developers and autonomous agents.
An MCP server enabling AI agents to communicate, delegate tasks, and maintain diagnostic visibility throughout execution lifecycles. Developers building multi-agent systems and orchestration platforms benefit from streamlined agent coordination.
A specialized system prompt that guides AI agents to select and use the correct MCP tools (code search, file operations, bash) for specific development tasks, reducing wasted effort and improving workflow efficiency. Developers using Claude Code, Cursor, Windsurf, or similar platforms benefit from clearer tool-selection guidance.
MRF is a security-hardened metaprompting framework designed to protect AI agents from prompt injection attacks while enabling structured decision-making. It benefits developers building production agents on Claude platforms who need robust input sanitization and instruction clarity.
Automates configuration of container image registries (ghcr.io, Docker Hub, Harbor) with vulnerability scanning, image signing, and retention policies for secure CI/CD pipelines. Essential for DevOps engineers and platform teams managing containerized applications at scale.
AlgoClash is a competitive platform where developers build and deploy autonomous AI trading agents that battle in simulated stock markets with live leaderboards and backtesting. It's useful for ML/AI engineers interested in algorithmic trading, agent design, and competitive benchmarking.
A comprehensive guide to creating and configuring AI agents in the AgenticAI Core SDK, enabling developers to build autonomous agents with specific roles, LLM decision-making, and reusable tools. Essential for developers building multi-agent applications.
TakoData Tako MCP enables AI agents to query and visualize real-time data by integrating Tako's data capabilities, helping developers build data-driven applications with live insights.
This booster provides Pipelex API rules and guidelines for writing and validating AI workflows in .plx files within Windsurf, helping developers create structured, repeatable agent pipelines through a domain-specific language.
This booster guides developers through implementing five specialized AI agent personas (composer, arranger, theory assistant, jam session, audio engineer) with tailored tool access and knowledge bases for music creation tasks. It benefits music software developers and AI engineers building multi-agent musical systems.
