Discover agents, interfaces, and automations that transform your development workflow
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Autonomous coders, copilots, and CLI partners.
Dashboards, GUIs, and bridges beyond the terminal.
Plugins, skills, and extensions that supercharge the stack.
MCP server providing browser automation capabilities using Playwright's accessibility tree.
playwright-mcp enables LLMs to interact with web pages through structured accessibility snapshots rather than pixel-based input, offering deterministic browser automation with clicking, typing, navigation, and screenshot tools for precise web interactions.
MCP server and knowledge management platform for AI coding assistants.
Archon provides custom knowledge bases with web crawling, vector search, and task management capabilities, supporting multiple LLMs and offering 10 MCP tools for enhanced RAG queries and collaborative development workflows.
Persistent intelligence infrastructure MCP server that learns coding patterns for AI agents.
In Memoria provides a Model Context Protocol server with Rust-based engines for AST parsing, pattern learning, and semantic code analysis. Learns developer-specific coding styles, naming conventions, and architectural decisions, offering 17 tools for codebase analysis and context-aware recommendations across AI coding assistants.
Memory system MCP server for AI coding tools with 95.8% context accuracy.
Kratos MCP provides persistent memory for AI coding tools using a Four Pillars Framework with SQLite storage, ensuring AI maintains project context across sessions with sub-10ms retrieval times and automatic project isolation.
Repeatable playbooks, autopilot patterns, and rituals.
AI-driven agile development framework with specialized agent orchestration and context engineering.
BMAD-METHOD combines agentic planning with context-engineered development, using specialized AI agents (Analyst, Product Manager, Architect, Scrum Master) to create detailed PRDs and hyper-detailed development stories that embed full implementation context and architectural guidance directly in story files.
Spec-driven development methodology that makes specifications executable for AI-assisted software creation.
Spec Kit enables intent-driven development by transforming rich specifications directly into working implementations using AI coding agents. Supports parallel implementation exploration and iterative system enhancement with explicit compatibility for Claude Code, GitHub Copilot, and Gemini CLI.