code-context

🚀 Desktop tool for extracting code context to enhance AI-assisted development. Visualize project structure, export multiple files with one-click, and get more accurate suggestions from AI assistants while keeping your code private.

Stop making AI agents uselessly rediscover your codebase.

A better "ls". View folder structures and copy entire codebases for prompting LLMs (works with gitignore)

Persistent context engine for Claude Code — turn any codebase into a .context/ folder Claude navigates instead of grepping. Deterministic AST backbone (tree, symbols, graph, conventions) + a multi-agent council that fills in the judgment.

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.

VS Code extension that streamlines development workflows through AI-powered task execution, intelligent file management, and automated code generation. Built on Aider, it integrates with Open AI to enhance productivity and code quality while simplifying complex development tasks.

🧠 Save 70–95% tokens in Claude Code, Cursor, Windsurf & Cline. Local Tree-sitter code graph MCP server: surgical edit context instead of full-file reads, refactor safety checks, and a hook that blocks large file reads. Reduce token usage & cost, zero LLM indexing.

Local-first code context for AI agents over MCP: AST indexing, symbol navigation, and source references.

Local codebase context packer for LLM-assisted programming — smart chunking, semantic ranking, token-budget assembly.

PM Context Kit｜产研协作的只读代码上下文 MCP + Skill / Read-only MCP + Skill for product-engineering code context

Prepare your codebase for AI assistants in one click. Smart project context packaging with filtering, compression, skeleton generation, Mermaid graphs, and Git integration.

Tree-sitter repository maps and ranked code context for LLM applications

The ultimate MCP server for code intelligence. Smart context, semantic search, call graphs, pattern detection & token optimization. Makes LLMs understand any codebase perfectly.

Benchmark comparing XCE, Augment Code, and Serena context engines on Django's 200K-line codebase

sahiixx-graph-sight

Your AI agent finds the right files. Every time. Code graph context engine with 24 MCP tools — 170+ languages, triple search, +27% F1 improvement.

Prepares projects for AI by generating compact manifests. Send 10-50× less data to LLMs. Python CLI, no dependencies.

Evidence-backed context for AI coding agents. CodeCompass maps pinned dependencies, project relationships and technical context into a queryable graph, then evaluates whether that context actually helps agents. Pre-release; v1 is being validated on real projects.

Semantic codebase graph engine — MCP server for Claude Code

A fork of gitingest that intelligently collapses oversized folders so big repos fit in an LLM context window.