Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
Microsoft Build AI 2026 National 1st Place. Local codebase memory for AI coding agents: 63.8% Coverage@5, 75.2% Coverage@10, 60-65x lower context.
Local code map for AI coding agents: find, trace, and predict change impact with file:line evidence. Claude Code · Codex · OpenCode · MCP. No network by default.
AST Codebase Context Engine & 13-Tool MCP Server for AI Coding Agents - Up to 95% token reduction https://tzero-indol.vercel.app
Static code map generator (MAP.md + map.json) powered by tree-sitter — a Claude Code /map plugin and MCP server that gives coding agents call graphs, file outlines, and impacted-test lookups without spending tokens on parsing.
serves for redirect of indexing request. These are problematic when used llama.cpp tries to access /api/embed which is not supported endpoint
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
Local-first context layer for AI coding — index repos, cut token waste via MCP + Desktop
Turn any codebase into a navigable Mermaid chart memory system. Human-readable, AI-traversable, works with Claude Code, Cursor, Windsurf, Copilot and any AI assistant.
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.
Local-first codebase intelligence memory and task context for coding agents, via CLI, MCP, and local HTTP.
Automated multi-project codebase indexer for Qdrant. Real-time monitoring and seamless sync for AI agent context.
High-performance Model Context Protocol (MCP) server providing deep codebase indexing, AST analysis, and memory context.
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.
Scythe (ctx) is a live, auto-updating codebase context engine. It maintains a local SQLite relational graph of your repository, synced dynamically on edit by AI models, guaranteeing structured, zero-drift context under 10k tokens — even for million-line codebases.
Codebase indexing and search tool in command line and Neovim.
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