affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
Shrimp Task Manager is an intelligent task management system built on the Model Context Protocol (MCP) designed to enhance AI Agents' programming workflows. It converts natural language inputs into structured development tasks, enabling efficient task planning, decomposition, and execution with dependency tracking and iterative refinement. The system supports deep task analysis, breaking down complex tasks into manageable subtasks, and managing dependencies to ensure correct execution order. It also tracks execution status in real-time and verifies task completeness to meet expected requirements. Shrimp Task Manager features automatic task complexity assessment and summary updates to optimize memory performance. A notable feature is its task memory function, which backs up task history to provide long-term memory and reference capabilities, reducing redundant and repetitive coding work. The system includes a research mode that guides AI Agents through systematic technical investigations, allowing exploration of new technologies, best practices, solution comparisons, and complex problem analysis. This mode integrates research findings into task planning and execution, enhancing decision-making. Project rules initialization helps maintain consistency across large projects by defining standards and rules tailored to specific project needs. Shrimp Task Manager offers a web-based graphical user interface (GUI) for task management, which can be enabled via configuration. It supports a structured approach to AI-assisted programming with guided workflows, allowing users to initiate project rules, plan tasks, execute tasks, and operate in continuous mode for automatic task processing. The system supports prompt customization and multi-language support for system prompts. Overall, Shrimp Task Manager provides a comprehensive framework for AI-driven task management in software development, leveraging MCP to improve programming efficiency, task memory, and systematic research capabilities.
https://github.com/cjo4m06/mcp-shrimp-task-manager
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
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