Plan, revise, and explore alternatives for complex tasks using structured multi-step sequences. Manage branches, adjust scope, and define requirements with AI-assisted guidance for optimal outcomes.
Automates browser tasks using OpenAI for handling multi-step forms, web navigation, and structured data extraction with reliable performance. Ideal for automating workflows and interactive web processes.
Facilitates multi-step feature planning with revisions and branching options. Define tasks, scope, and AI providers to streamline project workflows and explore alternative approaches.
Analyze complex problems with step-by-step reasoning using local GPU models. Process multi-step challenges, architecture decisions, and debugging strategies with structured analysis.
Initiate a multi-step workflow to manage complex operations in Kafka Schema Registry, ensuring structured and efficient handling of schema-related tasks.
An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository, helping you track AI-generated plans and recommendations as actionable specifications.
A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.
Provides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.