davide-desio-eleva

davide-desio-eleva / kirograph

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Semantic code knowledge graph for Kiro: fewer tool calls, instant symbol lookups, 100% local.

19
0
100% credibility
Found Mar 31, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

KiroGraph builds a local knowledge graph of code symbols and relationships to help AI coding assistants like Kiro explore projects faster without repeated file scans.

How It Works

1
🔍 Discover KiroGraph

You learn about a helpful tool that lets your AI coding buddy instantly understand your entire project, skipping slow file searches.

2
⚙️ Set it up

In your project folder, you run a quick setup to connect it smoothly with your AI assistant.

3
🗺️ Build your code map

It quietly scans your files and creates a smart web of connections between functions, classes, and more—all stored safely on your computer.

4
🔄 Restart your AI

You refresh your AI coding helper, and it automatically starts using the new code map.

5
💬 Ask about your code

Now you chat with your AI about fixing bugs or adding features, and it pulls exactly the right info instantly.

🚀 Work faster and smarter

Your AI gives spot-on answers with less waiting, helping you code quicker and with total confidence.

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AI-Generated Review

What is kirograph?

Kirograph indexes your codebase into a local semantic code graph using tree-sitter parsers across 17 languages like TypeScript, Python, Go, Rust, Java, and more, storing everything in SQLite for instant queries. It solves Kiro AI's reliance on slow file reads and greps by exposing MCP tools for semantic code retrieval—think callers, callees, impact analysis, type hierarchies, and task context in one call. Built in TypeScript, it auto-syncs via Kiro hooks, keeping the graph fresh without watchers.

Why is it gaining traction?

Unlike github copilot's cloud semantic code search or general semantic code analysis tools, Kirograph runs 100% local with no APIs, slashing tool calls and context bloat for faster Kiro responses on complex refactors. Framework detection enriches graphs with routes and components (React, Express, Django, Laravel), while opt-in embeddings enable natural-language semantic code search mcp. CLI commands like `kg context "fix auth"` deliver structured snippets instantly.

Who should use this?

Kiro users tackling large monorepos or multi-language apps needing semantic code review before changes. Backend devs tracing call graphs in Express or Spring, frontend teams mapping React components, or full-stack engineers hunting dead code and circular deps. Ideal for semantic github commits analysis in CI via `affected` tests.

Verdict

Try it if you're deep in Kiro workflows—docs are thorough, setup is `npm i -g kirograph; kg install`. With 19 stars and 1.0% credibility, it's early-stage but stable for polyglots; watch for broader semantic kernel integrations.

(198 words)

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