243 boosters for "agents" — AI-graded, open source, ready to install
Automates GitHub issue triage and fixing by fetching issues, spawning AI sub-agents to implement solutions, opening PRs, and handling review feedback—ideal for maintainers and teams managing large issue backlogs.
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.
A system prompt that enables AI agents to automate browser tasks, navigate websites, and extract information by operating in an iterative loop. Developers and AI automation engineers use this to enhance AI capabilities for web automation across multiple platforms.
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.
The Best AI Agent Harness - Batteries-Included OpenCode Plugin with Multi-Model Orchestration, Parallel Background Agents, and Crafted LSP/AST Tools
Heuristic scoring (no AI key configured).
This MCP server enables users to search and discover Agent Skills from the skills.sh registry, helping developers find and integrate pre-built automation capabilities into their AI agents.
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.
This MCP server enables browser automation capabilities within Claude and Cursor by providing programmatic control over web browsers. It's valuable for developers building AI agents that need to interact with web applications, perform testing, or gather web-based data.
Strata is an MCP server enabling progressive, scalable tool usage for AI agents across Claude Desktop, Claude Code, and Cursor. It benefits developers building multi-step AI applications that need flexible, composable tool orchestration.
Browserbase MCP Server enables AI agents to automate web browser interactions through a Claude-compatible interface, allowing developers to build intelligent automation workflows for web scraping, testing, and data extraction tasks.
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.
An MCP server that integrates Bright Data's web scraping, browser automation, and data extraction tools into Claude, enabling AI agents to collect and process structured data from web sources while handling anti-bot detection.
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.
A system prompt that enables AI agents to automate browser tasks by navigating websites, extracting data, and performing interactive actions across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). Ideal for developers and AI engineers building autonomous web automation workflows.
Apify MCP Server enables Claude to interact with Apify's web scraping and automation platform through the Model Context Protocol, allowing AI agents to run actors, manage tasks, and extract data from websites programmatically.
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.
Graphlit MCP Server integrates the Graphlit knowledge graph platform with Claude, enabling developers to build AI agents with RAG capabilities, document parsing, and intelligent retrieval. It's ideal for teams building document-heavy AI applications, knowledge management systems, and enterprise AI agents.
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.
