A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools

A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools

The fastest way to understand any unfamiliar codebase using real project signals. Not blind AI guessing. Signals first. LLM second

Deep repository intelligence for humans and ai. Air gapped, on premise, zero dependency SAST for 50 languages regardless of compilation status. Sarif and sbom outputs.

A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools

A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization

Code visualization for non-programmers. A docent for your codebase.

An autonomous, 100% local Agentic GraphRAG system for codebase intelligence. Paste any GitHub URL or local directory to chat with your code. Powered by LangGraph, NetworkX, and Ollama (qwen2.5-coder).

The living wiki that writes itself.

Claude Code plugin that writes grounded, verified context for your coding agent — every claim checked against your code. Lean CLAUDE.md + deep docs, 100% local, MIT.

Weld connected structure toolkit for agent-first repository discovery

AI Agent Skill — Auto-generate business context layer (BCL) for large backend codebases. Supports Java, Python, Go, Kotlin, TypeScript. Turn 500K lines into navigable knowledge maps.code2wiki ( code to wiki) 是一项专为复杂项目构建面向业务的“业务语义层”的技能。通过 code2wiki，开发者可以将既有代码库高效地转化为系统化的项目上下文与 Wiki 文档，从而显著提升 LLM 对复杂业务系统的理解深度，赋能代码总结、领域 Skill 构建及自动化文档生成。

AI-first codebase context engine that builds compressed logic skeletons (functions, calls, conditions & impact paths) so AI agents understand large codebases with 95%+ fewer tokens and higher accuracy.

Semantic codebase understanding service — maps application structure, authentication patterns, authorization models, and data flows for intelligent security analysis.

Compile repositories into compact agent-ready context with exact token compression metrics.

Deep Multilayer Static Analyzer for Python Projects

Analyze your codebase's dependency graph and export a structured bundle — nodes, edges, metrics, and cycle detection across multiple languages

CLI tool that analyzes any repository and explains its architecture, entrypoints, dependencies, and impact of changes.

Understand what your AI-built app is actually made of plain-English layer map with expert, learner, and second opinion modes

Local-first 3D knowledge-graph dashboard for codebases. Built on Graphify. Explore repos in Hivemind, run Hunter audits, trace nodes, and query graph context with Claude Code.