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Hokmah
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#9344 Radar 19

Gives AI coding agents persistent architectural memory of codebases.

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Product memo

Hokmah provides AI coding agents with a persistent architectural memory of codebases, building a live reasoning graph directly from Git history. This approach helps agents understand codebase structure and potential impact, allowing them to find complex bugs that traditional methods often miss. It integrates with existing developer workflows and supports multiple LLMs, making it a specialized tool for AI-assisted development.

For who

AI coding agents and developers

Solves what

Provides AI coding agents with persistent architectural memory of codebases.

  • Architectural memory via git history
  • Live reasoning graph
  • Risk analysis before push
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In their own words

AI Code Agent · Architectural Memory · Git-history Native

360,000 stars. Thousands of contributors. Hokmah found what none of them could.

AI Agent with Architectural Memory. One MCP server for every AI coding agent. Analyze impact, generate tests, write code — all from the graph. Free to start.

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier offers basic analysis to drive initial adoption.
  • Custom Enterprise pricing handles unlimited usage for large organizations.

Operator context

Founded

May 2026

Platform

Web app

Audience

Developers

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About Hokmah Expand

Hokmah equips AI coding agents with a persistent architectural memory, allowing them to understand and interact with codebases more effectively. It builds a live reasoning graph from Git history, enabling features like risk analysis before code pushes and the generation of tests.

Designed for developers and AI coding agents, this tool helps identify complex bugs and improve code quality. The "Bring Your Own Key" (BYOK) model addresses privacy concerns, making it a practical option for teams integrating AI into their development workflows.