260 boosters for "agents" — AI-graded, open source, ready to install
Parallel Search MCP enables AI agents to perform concurrent web searches efficiently through a standardized MCP server interface. Developers building agentic applications in Claude Desktop, Claude Code, and Cursor benefit from faster, parallelized search capabilities.
An MCP server that integrates Liveblocks real-time collaboration APIs into Claude, enabling AI agents to build and manage collaborative features like comments, presence, and document synchronization. Useful for developers building AI-powered collaborative applications.
Docs & Links automates documentation consistency checks, Markdown linting, and link validation to keep repository documentation in sync with actual code. Teams managing multiple projects benefit from automated enforcement of documentation quality standards.
A comprehensive guide to building sophisticated AI agents using the Robota SDK, covering architecture patterns, tool integration, and best practices. Developers building multi-agent systems and complex AI workflows benefit from its advanced techniques and reusable patterns.
A Windsurf-specific coding guidelines booster that enforces Python best practices including documentation standards, absolute imports, early returns, and design patterns for maintainable code. Ideal for Python developers using Windsurf who want to maintain consistent code quality across their projects.
ICS is an interactive context file editor for Claude Code that provides templating, vim mode, and semantic analysis capabilities to help developers efficiently manage and organize project context. It benefits developers using Claude Code who need structured ways to maintain and edit context files for AI-assisted coding workflows.
Export memories to markdown for review and backup
agent-builder enables developers to create production-ready AI agents with pai-agent-sdk and Pydantic AI, including tools configuration, session persistence, and hierarchical agent setups. Ideal for building autonomous applications, chatbots, and HITL workflows.
Agent-studio provides structured self-reflection patterns to help AI agents validate their reasoning and decisions. It's useful for developers building agent systems who need built-in verification and structured thinking frameworks.
A system prompt for autonomous AI agents operating within local development environments using MCP servers, designed for developers building sovereign, locally-controlled AI systems with governance protocols.
HiveMind-Actions is a serverless swarm AI system for GitHub that automates issue analysis and creates execution plans by coordinating multiple AI agents. It benefits development teams seeking to reduce infrastructure overhead while automating code review, issue triage, and implementation planning.
An educational project for learning OpenAI API integration through agent development. Useful for students and developers learning to build AI agents, though the actual functionality appears incomplete.
A Cursor agent that applies cognitive psychology principles (CBT, NVC) to help developers process emotions, manage stress, and resolve conflicts through structured analytical frameworks. Ideal for developers seeking psychological support integrated into their IDE workflow.
A comprehensive ruleset for Windsurf that enforces TypeScript/Node.js best practices, code style standards, and architecture patterns for developers building AI agents with LangGraph and the Vercel AI SDK.
This MCP server dynamically exposes Swagger/OpenAPI endpoints as callable tools for Claude and other LLMs, enabling AI agents to seamlessly integrate with REST APIs without manual tool definition. Developers building LLM applications that need to interact with documented APIs benefit most from this adapter.
Markdown Agents is a framework for defining AI agents using simple markdown files with YAML frontmatter, enabling version-controlled, portable agent configuration across Claude Code and Desktop. Developers benefit from reduced cognitive load, git-native memory tracking, and predictive AI collaboration without session amnesia.
A multi-agent CrewAI system for Facebook advertising campaign management that enforces comprehensive code standards, testing requirements, and documentation practices. Teams managing ad campaigns at scale benefit from structured agent-based optimization and consistent code organization.
A comprehensive developer tools hub that guides developers through debugging, code review, refactoring, git operations, and quality checks using Socratic questioning and specialized agents. Ideal for developers seeking structured, educational support across the entire development workflow.
agentMemory provides AI agents with a persistent, searchable knowledge management system that syncs with project documentation, enabling developers to build agents with contextual memory and decision tracking across sessions.
Lár Windsurf Rules is a cursor ruleset that guides developers in building graph-based AI agents using the Lár framework with strict typing, explicit node linking, and auditable patterns. It benefits developers building complex, self-correcting agentic systems who need clear structural guidelines.
This MCP server enables autonomous AI agents to reason more effectively through a dual-cycle metacognitive framework that combines fast intuitive reasoning with slower deliberative verification. It's designed for developers building sophisticated autonomous agents that need robust self-monitoring, loop detection, and belief revision capabilities.
An MCP server that provides tools for copying and manipulating web UI elements, enabling Claude to interact with and extract content from web interfaces. Developers building AI agents that need web UI automation or content extraction would benefit from this tool.
A comprehensive set of development guidelines and reusable agents for building AI-powered Python applications in Windsurf using Mirascope, covering patterns for LLM integration, component structure, and best practices. Developers building intelligent agents and tools in Python will benefit from these standardized patterns and pre-built components.
Heuristic scoring (no AI key configured).
