437 boosters for "agents" — open source, verified from GitHub, ready to install
PRISM is a prompt IDE that helps engineers design, test, and iterate on LLM prompts and agents through visual templates and dataset-driven feedback. It benefits prompt engineers, product teams, and developers building AI-powered applications who need structured prompt management and testing workflows.
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.
DevCrew's AI Agents Architecture provides a specialized multi-agent system with defined roles (Project Manager, Architect, Engineer, QA, Writer) for coordinating software development tasks. Development teams building complex projects benefit from this structured agent framework for automated planning, design, implementation, testing, and documentation.
Heuristic scoring (no AI key configured).
An MCP server that enables AI agents to manage SevDesk business operations (invoices, contacts, offers) through Claude, bridging accounting software with conversational AI for SMBs and enterprises using SevDesk.
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.
Rex is a documentation retrieval agent that helps users and other agents quickly find information about project architecture, conventions, and implementation details by searching README.md, CLAUDE.md, and docs/ files.
Open AI Town is a virtual world where AI agents can join via HTTP API to socialize, chat, and interact with other agents. It enables developers to build multi-agent systems with social simulation capabilities.
An MCP server that enables AI agents to join Google Meet calls, participate in conversations through speech and text, and transcribe audio in real-time. Useful for developers building autonomous meeting assistants, note-taking bots, and AI-powered communication tools.
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.
The tq booster teaches AI agents how to use the tq agent-first Git-compatible task queue system for managing, claiming, and resolving tasks in distributed workflows. It's valuable for teams using Claude Code that need structured task management without polluting their main repository.
Smith is a feedback validation agent that uses parallel research sub-agents to rigorously critique code feedback and plans, ideal for teams needing systematic validation of technical reviews.
An emergency escalation agent that routes system problems to human operators when any agent encounters errors or uncertainty. Useful for systems requiring human oversight, but highly specialized and environment-dependent.
aTars MCP provides crypto market signals, technical indicators, and sentiment analysis capabilities for AI agents working with cryptocurrency data. Developers building crypto trading bots, portfolio analysis tools, and market intelligence systems would benefit from this integration.
This MCP server enables AI agents to perform essential image operations like resizing, converting, and compressing images through a unified pipeline. It's useful for developers integrating image processing capabilities into Claude-based applications.
An AI agent that automates MCP server discovery, deployment, and integration with Docker containerization support, enabling developers to rapidly set up complex MCP infrastructure. Ideal for teams building multi-agent systems or extending Claude's capabilities with custom tools.
TinyFish AI Web Agent enables developers to automate website navigation and interaction using AI agents, from single-page tasks to large-scale workflows. It's ideal for teams needing intelligent web automation without manual scripting.
A hierarchical multi-agent system that organizes 19 specialized AI agents into teams with intelligent LLM-based routing and dynamic tool binding for AI-assisted development tasks. Developers building complex AI-powered applications benefit from its modular architecture and industry-standard prompt integration.
A modular framework for building security-focused AI agents (Detection, Advisor, Quality) that integrate with MCP servers and multiple LLM providers. Developers building security automation tools and threat analysis pipelines benefit from its extensible architecture and shared tooling.
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.
An MCP server that enables AI agents to manage ad campaigns across major platforms (Google, Meta, LinkedIn, Microsoft, Reddit, TikTok). Ideal for marketing teams and developers automating multi-channel advertising workflows.
"id": "ai.paperlantern/code", "name": "Paper Lantern", "description": "Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.",
This booster provides three AI interview agents (easy, medium, hard difficulty levels) built with Fetch.ai uAgents SDK to help users practice and improve their interviewing skills through interactive Q&A. Developers and interview coaches benefit from a reusable, multi-difficulty agent framework.
