rdanieli/tentra-mcp

Overview

Persistent memory for AI coding agents using a code graph and architecture diagrams. Provides 32 MCP tools to store and retrieve context across sessions. Integrates with Cursor, Claude Code, Codex, and Windsurf.

Best for

Best for
Developers using AI coding agents who need persistent project memory across sessions

Use cases

• Maintain long-term project context for AI coding assistants
• Visualize code structure and architecture through generated diagrams
• Share persistent memory across different AI agent sessions

Notes

Persistent memory for AI coding agents using a code graph and architecture diagrams. Provides 32 MCP tools to store and retrieve context across sessions. Integrates with Cursor, Claude Code, Codex, and Windsurf.

1 stars on GitHub. Last updated 2026-04-20. Licensed MIT.

Use cases

• Maintain long-term project context for AI coding assistants
• Visualize code structure and architecture through generated diagrams
• Share persistent memory across different AI agent sessions

Pros

• Supports multiple popular AI coding environments
• Large set of 32 tools for granular memory management
• Persists context beyond single chat sessions

Cons

• Very low community adoption (1 star on GitHub)
• Unclear documentation and maturity due to early stage
• May require significant setup and configuration

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.