336 boosters — AI-graded, open source, ready to install
AGENTS.md Version 2 enables AI agents to autonomously interact with websites using browser automation, allowing developers to automate complex web tasks programmatically. It's ideal for developers building AI-powered automation tools and agents that need reliable web interaction capabilities.
Official agentic coding CLI by Anthropic. Lives in your terminal, understands your entire codebase, and can edit files, run tests, commit, and create pull requests autonomously. The gold standard for AI-assisted software development.
A comprehensive guide to creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI agents with defined roles, capabilities, and collaboration features. Ideal for AI engineers and developers building multi-agent systems.
Get Shit Done (GSD) is a meta-prompting and context engineering system that helps developers coordinate AI-assisted workflows across multiple platforms while preventing quality degradation from context window bloat. Developers building with Claude, OpenCode, Gemini, and Codex benefit from its structured Plan→Execute→Verify→Complete pipeline.
Heuristic scoring (no AI key configured).
A comprehensive tutorial for creating, registering, and deploying custom third-party agents that extend UFO² automation capabilities beyond Windows GUI automation. Developers building domain-specific automation agents (hardware control, Linux CLI, web automation, IoT) will find this invaluable for understanding the complete agent architecture and implementation workflow.
TinyClaw enables developers to run multiple specialized AI agents simultaneously with isolated workspaces and independent configurations, allowing for task-specific agent teams that can be routed via simple @agent_id syntax. This is valuable for projects requiring diverse AI capabilities (coding, writing, analysis) working in parallel without state interference.
This booster automates merging README.md files from multiple subdirectories into a root README.md for the TCP-IP-NetworkNote project. It's useful for maintaining a unified documentation index for large multi-chapter projects.
A comprehensive guide for creating specialized AI agents in the Lobster AI framework, helping developers build domain-specific tools with proper package structure and configuration standards.
Swarm Agents is a production-oriented multi-agent orchestration framework that enables persistent, autonomous agents to coordinate through peer-to-peer messaging and shared workspaces, supporting complex task decomposition and dynamic agent spawning. It benefits developers building sophisticated multi-agent AI systems who need robust orchestration, convergence detection, and supervisor-based monitoring.
Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.
A multi-agent framework that dynamically spawns specialized agents (frontend, backend, DevOps, etc.) to autonomously handle software development tasks across platforms like Claude and OpenAI. Developers building complex applications benefit from delegating work to a coordinated swarm of AI agents that each handle domain-specific responsibilities.
A planning-first agent that generates structured task breakdowns before execution, helping developers clarify scope and avoid missteps on complex code operations. Ideal for teams using Claude in agentic workflows.
A specialized development agent for IOTA SDK that guides developers through implementing features across domain logic, persistence, migrations, templates, and configuration while maintaining DDD principles and multi-tenant isolation. Ideal for backend engineers building complex Go applications with structured architectural patterns.
Sub-Agents is a lightweight framework for decomposing complex tasks into specialized child agents that collaborate under a parent orchestrator agent. Developers building multi-agent systems in Python will benefit from this pattern for creating modular, reusable agent hierarchies.
A PHP SDK for building AI agents with structured outputs and multi-agent orchestration, enabling developers to decompose complex tasks into specialized subagents with isolated contexts and independent execution.
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.
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.
A specialized Kubernetes expert agent that provides comprehensive cluster management, workload orchestration, and production operations guidance aligned with Kubernetes 1.31+ and 2025 CNCF standards. Ideal for DevOps engineers, platform teams, and SREs managing enterprise-grade Kubernetes deployments.
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.
