By anasnaguib
Codebase intelligence — semantic search workflows, dependency graph analysis, and context artifact exploration for SocratiCode
Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts. Use when exploring code, understanding architecture, finding functions/types, analyzing dependencies, searching database schemas or API specs, or when socraticode/codebase_search tools are available. Activates when the user asks about code structure, wants to find where a feature lives, or needs to understand how code is organized.
Set up, index, and manage SocratiCode codebase indexing. Use when the user wants to index a project, check infrastructure health, start/stop file watching, configure context artifacts, troubleshoot indexing issues, manage the code graph, or any SocratiCode administrative task. Activates when the user mentions indexing, setting up search, SocratiCode infrastructure, or managing the codebase index.
Uses power tools
Uses Bash, Write, or Edit tools
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"There is only one good, knowledge, and one evil, ignorance." — Socrates
Your AI reads code. SocratiCode understands it.
The open-source codebase context engine: give any AI instant automated knowledge of your entire codebase (and infrastructure) — at scale, zero configuration, fully private, completely free.
Kindly sponsored by Altaire Limited
If SocratiCode has been useful to you, please ⭐ star this repo — it helps others discover it — and share it with your dev team and fellow developers!
💬 Questions or just want to chat? Join us on Discord.
One thing, done well: deep codebase intelligence — zero setup, no bloat, fully automatic. SocratiCode gives AI assistants deep semantic understanding of your codebase — hybrid search, cross-project search, polyglot code dependency graphs, and searchable context artifacts (database schemas, API specs, infra configs, architecture docs). Zero configuration — add it to any MCP host, or install the native plugin for Claude Code, Cursor, VS Code Copilot, Codex or Gemini CLI. It manages everything automatically.
Production-ready, battle-tested on enterprise-level large repositories (up to and over ~40 million lines of code). Batched, automatic resumable indexing checkpoints progress — pauses, crashes, restarts, and interruptions don't lose work. The file watcher keeps the index automatically updated at every file change and across sessions. Multi-agent ready — multiple AI agents can work on the same codebase simultaneously, sharing a single index with automatic coordination and zero configuration.
Private and local by default — Docker handles everything, no API keys required, no data leaves your machine. Cloud ready for embeddings (OpenAI, Google Gemini) and Qdrant, and a full suite of configuration options are all available when you need them.
☁️ SocratiCode Cloud (private beta) — Hosted, shared team index built on the same engine as the open-source version, plus SSO, audit logs, branch-aware indexing, and VPC / air-gapped deployment options. The open-source core remains free forever. Request early access →
The first Qdrant‑based MCP/Claude Plugin/Skill that pairs auto‑managed, zero‑config local Docker deployment with AST‑aware code chunking, hybrid semantic + BM25 (RRF‑fused) code search, polyglot dependency graphs with circular‑dependency visualization, and searchable infra/API/database artifacts in a single focused, zero-config and easy to use code intelligence engine.
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