Persistent AI memory for coding assistants - MCP server providing context persistence across sessions for Claude, Cursor, Windsurf. MCP Tools for task tracking, workflow automation, and AI memory. Eliminates context loss between sessions.
git clone https://github.com/jpicklyk/task-orchestrator.gitPersistent AI memory for coding assistants - MCP server providing context persistence across sessions for Claude, Cursor, Windsurf. MCP Tools for task tracking, workflow automation, and AI memory. Eliminates context loss between sessions.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/jpicklyk/task-orchestratorCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm working on a project for [COMPANY] in the [INDUSTRY] sector. I need to orchestrate the following tasks: [TASK1], [TASK2], [TASK3]. I want to maintain context across sessions. Please help me plan and track these tasks using your memory capabilities.
# Task Orchestration Plan for [COMPANY] ## Project Overview - **Company**: [COMPANY] - **Industry**: [INDUSTRY] - **Tasks**: [TASK1], [TASK2], [TASK3] ## Task Breakdown ### Task 1: [TASK1] - **Status**: Not Started - **Dependencies**: None - **Estimated Time**: 4 hours - **Notes**: Requires access to [DATA] ### Task 2: [TASK2] - **Status**: Not Started - **Dependencies**: Task 1 - **Estimated Time**: 6 hours - **Notes**: Needs approval from [TEAM MEMBER] ### Task 3: [TASK3] - **Status**: Not Started - **Dependencies**: Task 2 - **Estimated Time**: 3 hours - **Notes**: Final deliverable ## Next Steps 1. Start Task 1 2. Gather [DATA] for Task 1 3. Schedule approval meeting for Task 2 ## Context for Next Session - Remember the status of each task - Keep track of dependencies and notes - Maintain awareness of estimated times and next steps
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