245 boosters for "agents" — AI-graded, open source, ready to install
A Python SDK for building production-ready agentic AI applications with Claude, featuring agents, handoffs, and guardrails for complex multi-agent workflows. Developers building AI agents and multi-tool systems will benefit from this lightweight, easy-to-learn framework.
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
A system prompt for benchmarking AI agents on realistic task execution, specifically designed to simulate a user managing job applications through Notion. Best suited for evaluating agentic capabilities across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).
Persistent cross-session memory for Claude and AI agents. Self-host on Redis/Valkey, or use the managed cloud at recallmcp.com.
In Memoria is a persistent intelligence infrastructure MCP server that enables AI agents and developers to build codebase-aware applications with semantic search and pattern learning capabilities. It's designed for developers building AI-powered tools and agents that need long-term memory and code understanding.
Agent Operating Guide provides structured instructions for Claude and other AI agents to safely develop and enhance the Raindrop MCP server while maintaining protocol compliance. It benefits developers using AI coding assistants who need consistent, verifiable guidelines for production-ready changes.
Heuristic scoring (no AI key configured).
Native Claude Agent SDK integration for AgentPool that enables file operations, terminal access, and advanced code editing with lower latency and tighter integration than bridge alternatives. Developers building AI agents on Claude Code or Claude Desktop benefit from direct SDK access and streamlined tooling.
MCP Server that enables AI agents to analyze and auto-optimize Linux kernel schedulers using eBPF, helping systems engineers improve performance through intelligent workload profiling and optimization strategies.
rtfmbro-mcp provides AI coding agents with always-up-to-date, version-specific package documentation to prevent outdated knowledge errors. Developers and teams using Claude/Copilot for agentic coding tasks benefit from accurate, real-time API references.
An MCP server that enables Claude to maintain persistent long-term and short-term memory across conversations using a local SQLite database. Developers and AI agents benefit from enhanced context retention and conversation continuity.
A comprehensive guide for creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI team members with defined roles, goals, and collaborative capabilities. Ideal for developers building multi-agent AI systems who need clear patterns for agent design and configuration.
An MCP server that integrates ERPNext ERP systems with Claude AI, enabling AI agents to interact with business data and workflows. Useful for developers and businesses automating ERPNext operations through Claude.
This skill parses natural language shopping queries to extract structured search criteria like product type, attributes, price limits, and specifications. E-commerce AI agents and developers building shopping assistants benefit from this structured approach to query understanding.
Concurrent Sub-Agents is an agentic terminal application that enables multi-agent workflows by automatically executing independent sub-agent tool calls in parallel, reducing latency without requiring explicit concurrency logic from the LLM. Developers building complex AI agent systems on Claude will benefit from faster, more efficient agent coordination.
Turkey-build is a multi-agent orchestration system for building production-ready applications across 7 modes (greenfield, iteration, bugfix, refactor, UI polish, migration, audit), with PM-driven coordination and runtime verification for teams that need structured, quality-gated development workflows.
Interactive Agents enables multi-level agent communication through a stack-based model where subagents take over conversation threads interactively until completion. Developers building complex agent systems with nested tool calls and dynamic routing will benefit from this orchestration pattern.
atris is a self-improving context system that provides structured agent rules and workflows for AI coding assistants like Cursor, enabling developers to maintain organized task management, code navigation, and communication standards across projects.
A Copilot-optimized guide for AI agents working in a full-stack NestJS/Next.js monorepo SaaS boilerplate, providing structured commands, code standards, and project architecture for efficient development.
gomcp provides a Go implementation of the Model Context Protocol to enable AI agents in Cursor to interact with external tools and resources through a standardized interface. Developers using Cursor who need to extend AI capabilities with custom integrations benefit from this protocol implementation.
An MCP server that integrates Crawlbase API for web scraping capabilities into AI agents and code editors like Claude, Cursor, and Windsurf. Developers building AI applications needing reliable web data extraction benefit from this seamless integration.
A comprehensive guide for developers adding new agents to Errata, a writing application. Useful for backend engineers extending LLM-powered features like character optimization and prose analysis.
Syncs OpenClaw framework, ClawHub, and Skills documentation into a local searchable mirror for the QMD memory backend, enabling AI agents to access fresh, precise references during coding tasks.
A layered backend architecture ruleset for Go/TypeScript projects that enforces clean dependency patterns (core → infra → database/permission → server) to maintain code organization and testability in internal tools. Ideal for teams building admin dashboards and CRUD applications who need consistent architectural guidance.
