codebase-context

One command gives AI agents instant codebase context. ~250 tokens replaces 50,000+ tokens of exploration. Auto-configures Claude Code, Cursor, Aider.

MCP server for AI coding agents. Instead of reading files one by one, your agent gets dependency graphs, git intent, blast radius, and change health in a single call. Works with any language deep analysis for TypeScript,Java, Go, and C#.

AI Coding Token Saver for Windows — optimize prompts and repository context before sending it to Claude, Codex, Cursor and similar tools using local filtering, file prioritization, context compression, token budgets and reversible profiles.

Local code search for AI coding agents: a CLI and MCP server with hybrid keyword + semantic search and SQL relevance-ranked aggregation over an index in plain files. No accounts, no keys, no server.

Local-first repo maps for coding agents—ranked files, test routes, risks, CLI/MCP/GitHub Action, and public GitHub URLs.

Build clean project context for AI chats — folder trees, file contents, token counting, and Smart Ignore. Fast cross-platform GUI, TUI, and CLI.

Persistent codebase knowledge layer for AI agents. Pre-builds architecture, dependency, coupling, and risk knowledge served via MCP. 27 languages, 13 tools.

Local, explainable context compiler for AI coding agents. Analyze → plan → emit optimal context — with why/doctor diagnostics. No embeddings, no server.

Generate AI context files from your codebase's actual conventions. Not what agents already know — what they keep missing.

Turn a local codebase into clean, token-counted context for an LLM. One Rust binary with gitignore-aware selection, clipboard/pipe workflows, and a built-in UI.

Deterministic repository context for AI coding agents.

Codex-native codebase intelligence: deterministic repo context, change-plan drift review, and verification gating for AI coding agents. Local-first, zero API keys.

Versioned memory for AI coding agents. Teach Claude, Codex, Gemini, Copilot & Cursor your rules once, they remember forever. Bilingual (Albanian/English), git-native, MIT. Ships with Mburoja 🛡, a battle-tested web-security playbook. Made in Tirana 🦅

Generate AI-friendly repository maps using ast-grep for providing codebase context to AI assistants and LLMs

A Claude Code plugin that understands your codebase and generates only the docs that actually matter. Run `/project-mds`, it scans everything and creates clean, connected markdown for APIs, models, auth, infra, and more so your agents don’t have to dig through code again and again.

Remote-first, project-aware AI prompt optimizer: select real codebase files, add Web Search or Deep Research, and run inference on an always-on home workstation. Originally developed in Cowork mode.

Backthread keeps the thread on what your AI coding agent ships — it captures the why behind every change and turns it into a living 'How it works' view of your codebase you can actually query.

Dependency-free Python CLI for compact directory trees, file metadata, Git status, and AI-friendly project context.

Claude Code is powerful out of the box. But on a team, it has no memory of your platform — your services, contracts, conventions, or patterns. Every developer gets a different experience. Every session starts from zero.

AI Coding Token Saver for Windows — optimize prompts and repository context before sending it to Claude, Codex, Cursor and similar tools using local filtering, file prioritization, context compression, token budgets and reversible profiles.