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Memgraph Ingester. Speed up your AI agent

Memgraph Ingester ingests Java codebase structure and engineering context into Memgraph as a queryable knowledge graph, enabling AI agents to reason over code and project knowledge via graph queries instead of raw text search — improving accuracy, reducing cost, and speeding up analysis. Supports parallel ingestion, watch mode, and integration with Claude, Codex, Gemini, and GitHub Copilot.

SourceHacker News AIAuthor: taubek
Memgraph Ingester. Speed up your AI agent
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

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EngineersIntermediate

Key points

  • Creates two graphs: Code (source structure) and Memory (engineering context) under a project scope.
  • Uses JavaParser for Java 25 syntax, with optional classpath for better symbol resolution.
  • Supports parallel ingestion (4-8 threads optimal) and watch mode for automatic re-ingestion.
  • Provides scripts to integrate with Claude, Codex, Gemini, and GitHub Copilot AI agents.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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