code-navigation

💡 Full-featured code intelligence and smart autocomplete for Sublime Text

Django ER diagrams, N+1 detection, schema drift & migration-risk linting — in VS Code, a CLI and an MCP server. Static analysis: no database, no django.setup(). Free & MIT.

17 MCP query tools for codebase navigation — functions, classes, imports, dependency graphs, change impact. Zero dependencies. 87% token reduction.

Code relationship graph visualization plugin of sublime editor

ast-outline lets AI coding agents pull exactly the code context they need — a repo skeleton, a file outline, or one symbol — instead of reading whole files. A stateless, tree-sitter-based CLI.

Architecture-aware code search, dependency graphs, and impact analysis for Python, TypeScript, Rust, C#, Java, Go, Ruby, Rails, Free Pascal, and Lazarus, for AI coding agents.

Local-first static analysis that turns source code into deterministic, source-grounded workflow maps for coding agents via MCP.

🧭 Never get lost again navigating your code with Compass! Filter your list of open MRU tabs / files easily!

Polyglot code-analysis framework — parses Python, TypeScript, Go, Rust & PHP into a shared graph IR (tree-sitter + type-aware resolvers: ty, tsc, gopls, rust-analyzer). Call/dependency graphs, cross-language boundaries, Neo4j export

Preserves a long-lived repository's engineering context — an architecture index, an impact map, session records, and the decisions behind them — as markdown committed beside the code, so an agent reads instead of rediscovering. Repository-local, no network, Python stdlib, MIT.

AI-readable codebase navigation indexes (README_AI.md) via a deterministic CLI — coding agents navigate faster, with fewer tokens. A/B-benchmarked.

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.

Local-first code intelligence and MCP-native review engine for Python and TypeScript repositories

Four-axis code-navigation combine for AI agents: qdrant (memory) + graphify (topology) + beacon (semantic) + serena (precision)

Merkle-enhanced codebase mapping for AI agents. O(1) change detection, zero-token staleness prevention.

Python CLI for AI agents. Queries SCIP indexes for precise refs, definitions, and repo health analysis.

Fast local MCP server for deterministic cross-service API-chain discovery across REST, GraphQL, Kafka, TypeScript, and FastAPI.

TokenMaster makes AI coding agents understand your codebase once and remember it - up to 7.8x fewer tokens.

Local-first, agentic coding workspace for Ollama and OpenAI-compatible models. Multi-project dashboard, three-pane editor, VS Code-style terminal, semantic codebase search (RAG), Git-aware editing with checkpoints, skills, persistent memory, and hardened per-tool approval — all running on your machine.

Context engineering for your codebase. A semantic code intelligence CLI giving AI agents exact definitions, true references, and less token noise.