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AI Agent with Architectural Memory MCP Server

@davidangularme

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

davidangularme

Submitted by

Fred blum

About AI Agent with Architectural Memory MCP Server

Gives any AI coding agent persistent codebase understanding. 5 tools: analyze impact (FREE), generate tests and code (PRO, 40x fewer tokens). Works with Cursor, Claude Code, VS Code, Windsurf, Cline, JetBrains.

#testing#code-analysis#architectural-memory#impact-analysis

AI Agent with Architectural Memory MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "hokmah": {
      "type": "streamable-http",
      "url": "https://hokmah.dev/mcp"
    }
  }
}

AI Agent with Architectural Memory MCP Server tools

5

Analyze impact of a code change. Returns risk score, affected files, related commits. FREE — zero LLM tokens.

Generate tests from the architectural graph. 40x fewer tokens. PRO — requires API key.

Generate code with architectural memory. Reduces hallucination via graph context. PRO — requires API key.

Connect a GitHub repo to Hokmah. Builds TransitionGraph + IdeaGraph + WorldModel from commit history. FREE.

Connect an external MCP server to Hokmah for universal tool orchestration. FREE.

Overview

What is AI Agent with Architectural Memory?

AI Agent with Architectural Memory (Hokmah) provides persistent codebase understanding to any AI coding agent using TransitionGraph, IdeaGraph, and WorldModel. It offers free zero‑LLM‑token impact analysis and, on the PRO plan, generates tests and code with 40× fewer tokens. Built by Catalyst AI Research, Haifa.

How to use AI Agent with Architectural Memory?

Install Hokmah and configure it to integrate with your coding environment. It works with Cursor, Claude Code, VS Code, Windsurf, Cline, and JetBrains. No specific CLI commands or config keys are documented in the README.

Key features of AI Agent with Architectural Memory

  • Persistent codebase understanding via TransitionGraph, IdeaGraph, and WorldModel
  • Zero LLM token cost for impact analysis
  • 40× fewer tokens for test and code generation (PRO)
  • Compatible with Cursor, Claude Code, VS Code, Windsurf, Cline, JetBrains
  • Built by Catalyst AI Research, Haifa

Use cases of AI Agent with Architectural Memory

  • Analyze codebase impact without consuming any LLM tokens
  • Generate tests and code with drastically reduced token usage (PRO)
  • Maintain persistent architectural memory across coding sessions

Frequently asked questions

1

What tools does it integrate with?

It works with Cursor, Claude Code, VS Code, Windsurf, Cline, and JetBrains.

2

Is there a free tier?

Yes, impact analysis is free with zero LLM tokens; test and code generation requires a PRO subscription.

3

What data structures does it use?

It uses TransitionGraph, IdeaGraph, and WorldModel for persistent codebase understanding.

4

Who built AI Agent with Architectural Memory?

It is built by Catalyst AI Research, based in Haifa.

Comments

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