optave

optave / codegraph

Public

Always-fresh code dependency graph — sub-second incremental rebuilds, function-level tracing across 11 languages, 20-tool MCP server for AI agents, git diff impact with co-change analysis, A→B pathfinding, node role classification, local semantic search. Zero API keys required.

ai-agents cli code-analysis dependency-graph impact-analysis
20
1
100% credibility
Found Feb 23, 2026 at 10 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Codegraph builds always-fresh, function-level dependency graphs for codebases across 11 languages, enabling fast local queries, impact analysis, and AI agent integration with sub-second incremental updates.

How It Works

1
🔍 Discover codegraph

You hear about a friendly tool that maps out how functions and files in your code connect, keeping everything fresh as you work.

2
📥 Get it ready

Download and set it up on your computer with a simple command—it takes just moments.

3
🚀 Map your project

Point it to your code folder, and it quickly scans everything to create a live map of connections.

4
🔎 Explore connections

Ask about any function or file to instantly see what calls it, what it uses, and how changes spread.

5
👀 Watch for changes

It automatically updates the map as you edit files, always staying current without effort.

6
Use solo or with helpers
🧑‍💻
Solo exploring

Dive into queries yourself to understand your code better.

🧠
With AI helpers

Let AI tools use the map to explain or suggest changes safely.

✅ Code mastery unlocked

You now effortlessly track dependencies, spot issues early, and make confident changes—your codebase feels alive and under control.

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Star Growth

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AI-Generated Review

What is codegraph?

Codegraph creates an always-fresh code dependency graph, tracing function calls and imports across 11 languages including JS/TS, Python, Go, Rust, Java, C#, PHP, Ruby, and HCL. It parses your repo into a local SQLite database with sub-second incremental rebuilds triggered by git diffs or file watchers, delivering CLI queries for callers/callees, impact analysis, cycle detection, and semantic search. No API keys needed—zero-cost core, with optional LLM boosts for richer results.

Why is it gaining traction?

Its three-tier change detection (journal, mtime/size, hash) keeps graphs current without full re-parses, crushing alternatives like joern or narsil-mcp on speed for commit hooks. A 13-tool MCP server feeds precise context to AI agents, plus git diff impact and multi-query semantic search via RRF ranking. Installs via npm, runs locally, exports to DOT/Mermaid/JSON.

Who should use this?

Polyglot repo maintainers analyzing blast radius before PRs. AI agent operators (Claude, Cursor) needing function-level code intel without staleness. DevOps teams gating merges on cycles or hotspots in CI.

Verdict

Strong contender for codegraph dependency analysis in agent workflows—excellent docs, benchmarks, and Apache-2.0 license—but 10 stars and 1.0% credibility signal early maturity; prototype it on a real repo before commit.

(198 words)

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