# twenj/Project Memory MCP

Source: https://glimind.com/server/glama%2Ftwenj%2Fproject-memory-mcp
Registry id: `glama/twenj/project-memory-mcp`
Status: unknown

## Tools (14)

- `add_decision`: Add a decision record to decisions.md.
- `apply_memory_optimization`: Apply the previously suggested memory optimization plan to .ai/ files.
- `bootstrap_project_context`: Read core project context files (project.md, current-task.md, architecture.md, coding-style.md) and supplemental summaries.
- `get_current_task`: Get the current task from current-task.md.
- `get_effective_project_root`: Return the effective project root, memory root, and how it was determined.
- `get_project_context`: Read all major .ai/ context files fully.
- `optimize_ai_memory`: Legacy entry point for memory optimization; prefer suggest_memory_optimization + apply_memory_optimization.
- `record_conversation_summary`: Append a conversation summary to conversation-summary.md and optionally update other context files.
- `run_conversation_end_workflow`: High-level workflow to run at the end of a conversation, generating context updates, recording summary, and suggesting memory optimization.
- `run_project_open_workflow`: High-level workflow to run when opening a project, bootstrapping context and returning core and supplemental context.
- `suggest_context_updates`: Suggest updates to .ai/ context files without applying them.
- `suggest_memory_optimization`: Generate a dry-run plan for optimizing .ai/ memory files without applying changes.
- `summarize_git_diff`: Summarize current Git working tree changes and optionally write to recent-changes.md.
- `update_current_task`: Update the current task in current-task.md.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.