What tools does it integrate with?
It works with Cursor, Claude Code, VS Code, Windsurf, Cline, and JetBrains.
A
AI Agent with Architectural Memory MCP Server
@davidangularme
基本信息
关于 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.
AI Agent with Architectural Memory MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"hokmah": {
"type": "streamable-http",
"url": "https://hokmah.dev/mcp"
}
}
}AI Agent with Architectural Memory MCP Server 工具
5Analyze 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.
概览
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
常见问题
Is there a free tier?
Yes, impact analysis is free with zero LLM tokens; test and code generation requires a PRO subscription.
What data structures does it use?
It uses TransitionGraph, IdeaGraph, and WorldModel for persistent codebase understanding.
Who built AI Agent with Architectural Memory?
It is built by Catalyst AI Research, based in Haifa.
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