786 boosters for "agent" — open source, verified from GitHub, ready to install
A multi-agent orchestration system that designs team compositions, manages shared context, and resolves conflicts to drive complex development tasks toward completion. Ideal for teams tackling large-scale, multi-phase projects requiring coordinated agent workflows.
A Cursor-native agent that transforms your IDE into a senior code reviewer and QA architect, providing expert-level code review, test strategy design, and technical mentorship through the @qa command.
A system prompt for an autonomous AI data cleaning agent that guides users through a structured 5-phase workflow to validate, assess, clean, and document datasets for machine learning projects. Useful for data engineers and ML practitioners seeking to automate and standardize data preprocessing.
"id": "ai.agentic-news/mcp", "name": "Agentic News", "description": "AI-powered news intelligence — 21 tools for personalized monitoring, briefings, and semantic search",
A multi-agent red-teaming framework that orchestrates coordinated AI security testing with an arbiter to consolidate findings and maintain an immutable audit trail. Security engineers and AI developers use it to systematically test LLM vulnerabilities with repeatable, deterministic results.
A model-agnostic system prompt implementing the Higgs Universal Memory Contract (UMC)—a governance protocol for AI assistants to manage scoped, auditable memory across multi-agent systems while preventing information leakage between sessions and clients.
Heuristic scoring (no AI key configured).
A specialized MongoDB/Mongoose agent that designs database schemas, optimizes queries, creates indexes, and builds aggregation pipelines for data engineers. Developers building Node.js applications with MongoDB can use this to accelerate data modeling and query optimization tasks.
A Cursor rules prompt that directs AI agents to leverage the Hytopia MCP Server for SDK guidance and game development examples, enabling developers to build games with up-to-date Hytopia documentation and best practices.
"id": "ai.geodesiclabs/governance-platform", "name": "Governance Platform", "description": "Deterministic AI governance platform. Validates agent outputs, discovers patterns, solves math.",
A structured interview framework for evaluating remote monitoring center operators, featuring 7+ questions across attention, incident handling, and protocol adherence. Useful for HR teams and security operations managers conducting candidate interviews.
A discovery agent that acts as a quality filter to stress-test and refine business ideas while identifying essential technical requirements, helping founders and product teams move from concept to robust specifications.
Bezal enables AI agents to search and access information about 7,000+ local service businesses across America by category, location, or keyword. It's useful for developers building agents that need to connect users with local services or conduct business research.
Luna is a specialized UI/UX agent that helps developers design, review, and improve user interfaces through expert guidance on components, accessibility, responsive layouts, and user interaction patterns. It's ideal for developers building React applications who want professional feedback on their UI code and design decisions.
Forge provides a framework and provider abstraction layer for building execution agents that autonomously write, review, test, debug, and deploy code across multiple LLM platforms. Developers building AI-driven development tools, CI/CD automation, and code generation systems will benefit from this structured agent foundation.
A hierarchical taxonomy (L0-L5) for classifying data agents by autonomy level, helping teams clarify capabilities, set expectations, and allocate responsibility in LLM-powered data systems. Useful for architects, product managers, and developers building or evaluating data agents.
"id": "ai.i18nagent/i18n-agent", "name": "i18n-agent", "description": "AI-powered translation for 48 languages with context-aware quality",
A comprehensive guide for creating and managing autonomous agents in the CrewAI framework, enabling developers to build specialized AI agents with defined roles, capabilities, and collaboration features.
mcp-orchestrator automates the discovery, deployment, and integration of MCP servers for AI agents, with Docker-first containerization and fallback native deployment options. It's essential for developers building complex agent systems who need reliable infrastructure management.
Emergency escalation agent that routes unresolved problems to human operators for intervention. Useful for multi-agent systems requiring human oversight on failures or uncertainties.
