Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.

Selene is a desktop app that runs AI agents on your machine. Connect them to your WhatsApp, Telegram, Slack, or Discord. Write code, generate images, build personal assistants. All from one place. Your data stays on your device.

SDL-MCP (Symbol Delta Ledger MCP Server) is a cards-first context system for coding agents that saves tokens and improves context.

Codebase Indexing for AI programming assistant.: call graph search, multi-language support.

🔍 Codebase Indexing for AI programming assistant.: semantic search, multi-language support.

Structural code intelligence for AI agents. Scan once, query everything — dead exports, circular imports, dependency graphs, and more. CLI + MCP server.

🤖 Enhance productivity with Seline, an AI assistant that combines chat, visual tools, and a local knowledge base for seamless desktop use.

Claude Code plugin: automatic codebase index + per-module READMEs, auto-synced via hooks (repo map + context injection).

Context Engineering Middleware for Claude Code — intelligent codebase indexing, token-efficient file selection, and session persistence via local MD files

serves for redirect of indexing request. These are problematic when used llama.cpp tries to access /api/embed which is not supported endpoint

Atlas is a offline codebase index for LLM coding assistants. Extracts symbols, imports, call graphs, and architecture into a queryable format. Lets AI agents search the index first, then open only the files they need, reducing token overhead and speeding up code navigation. Single-file deployment, zero dependencies.

Code Graph Builder is a local-first codebase analysis tool with a FastAPI backend and a React frontend. It indexes a repository, builds a navigable code graph and lets you analyze Python and PHP codebases, optionally use Ollama, Open WebUI, or another OpenAI-compatible endpoint for model-assisted graph refinement

MCP server for semantic code search and codebase analysis — AST parsing, Tree-sitter, embeddings and vector search for AI assistants and LLMs

MCP server that gives AI agents deep code understanding. Builds AST, call graphs, type graphs, and hybrid semantic search — so your agent queries structured indexes instead of dumping files into context. 7 languages. Zero config. One command setup.

Repository-local memory system for LLM-assisted development.

Codebase indexing and search tool in command line and Neovim.

An MCP server that exposes the full functionality of Doxygen to AI agents to (1) assist codebase investigation (2) automate documentation generation from source code comments and parse classes, functions, and variables to produce output in XML, HTML, PDF, etc.

Define a clear methodology to build, test, and deploy AI agent software with rigorous engineering standards.