621 boosters for "agent" — AI-graded, open source, ready to install
Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.
Heuristic scoring (no AI key configured).
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.
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.
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 system prompt that configures an AI agent to function as a non-conversational task executor within the Pepper scheduling system, handling delegated work through tool calls and structured results. Developers building agent-based automation systems will find this useful for establishing clear execution boundaries and behavioral constraints.
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.
OK Computer is a self-hosted AI agent system prompt that configures Claude as a general-purpose agent with specialized rules for data analysis, slide creation, and web deployment. Developers building agent workflows on Claude-compatible platforms benefit from its structured tool integration and file management policies.
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.
Comet MCP Server integrates Perplexity's Comet browser with Claude, enabling agentic web browsing, deep research, and real-time monitoring directly within Claude Code. Developers and researchers benefit from automated, intelligent web interaction capabilities without leaving their AI workflow.
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.
VT.ai provides Copilot-specific coding instructions for a multimodal AI chat application, establishing standards for Python development including naming conventions, style guides, and testing practices. Developers building AI-powered features with language models will benefit from these standardized guidelines.
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.
