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By repowise-dev
Indexes a codebase into five layers (Graph, Git, Docs, Decisions, Code Health) and exposes nine MCP tools so Claude can understand architecture, ownership, hotspots, design rationale, and defect risk — enabling risk-aware code review, dead code removal, refactoring prioritization, and architectural decision recording without raw source grepping.
npx claudepluginhub repowise-dev/repowise --plugin repowiseReport unreachable files, unused exports, and zombie packages, tiered by confidence.
Work with architectural decisions — list, inspect health, add, or confirm auto-proposed decisions.
Diagnose the Repowise setup — install, API keys, index/store drift — and optionally repair it.
Show Repowise code-health — KPIs, lowest-scoring files, refactoring targets, trends, or per-file biomarkers.
Set up Repowise for this codebase. Installs if needed, asks about your preferences, and runs the indexing.
Use when reviewing a set of changes before they merge — a PR, a branch diff, or the working-tree changes you just made — in a Repowise-indexed codebase (.repowise/ directory exists). Activates for "review this PR", "is this safe to merge", "what's the blast radius of these changes", "did I miss anything", or "what else should change with this".
Use when the user asks about code health, code quality, complexity, technical debt, which files are risky or hard to maintain, what to refactor next, untested hotspots, or coverage gaps in a Repowise-indexed codebase (.repowise/ directory exists). Also use to get a before/after health read when planning or finishing a refactor.
Use when exploring, understanding, or answering questions about a codebase that has Repowise indexed (a .repowise/ directory in the project root). Activates for "how does X work", "explain the architecture", "where is Y implemented", "what does this module do", or any task that needs an understanding of structure before diving into source files.
Use when the user asks about cleanup, removing unused code, refactoring, reducing bundle size, or identifying dead code in a Repowise-indexed codebase (.repowise/ directory exists). Also activates when discussing technical debt, code hygiene, or repository maintenance.
Use before modifying, refactoring, or deleting files in a codebase that has Repowise indexed (indicated by a .repowise/ directory). Activates when Claude is about to edit code, especially shared utilities, core modules, or files the user didn't explicitly mention. Helps assess impact and avoid breaking things.
Executes bash commands
Hook triggers when Bash tool is used
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Graph-first code intelligence for AI agents. SurrealDB knowledge graph + 52 MCP tools replace Read/Grep/Glob with deterministic graph traversal. 80–95% fewer tokens on code context. Rust-native, fully local.
Analyze git history to understand a codebase before reading any code. Reveals hotspots, risk areas, team structure, and development momentum.
AI-powered codebase understanding assistant. Learn design patterns, analyze impact, trace code flows, and understand any codebase through information theory principles. Includes 6 Agent Skills for automatic analysis triggering.
Codebase intelligence — semantic search workflows, dependency graph analysis, and context artifact exploration for SocratiCode
Codebase vital signs — hotspot detection, ROI-ranked diagnosis, co-change coupling, knowledge risk, and AI provenance tracking
The intelligence layer that gives your AI agent context, ownership, decisions — and a code-health score proven to predict real bugs.
Five intelligence layers · Nine MCP tools · 15 languages · Multi-repo workspaces · One pip install
Hosted for teams → · Docs · Discord · Contact
Layers · Code Health · Benchmarks · Languages · Quickstart · MCP tools · Comparison · Hosted
Your AI coding agent reads files. It doesn't know which ones change together, which ones are dead, or why they were built the way they were. It has the source code and no memory of how the codebase got there.
repowise fixes that. It indexes your codebase into five intelligence layers —
dependency graph, git history, auto-generated docs, architectural decisions, and
code health — and exposes them to Claude Code, Codex, and any MCP-compatible agent
through nine task-shaped tools. The result: your agent answers "why does
auth work this way?" instead of "here is what auth.ts contains" — with
fewer tool calls, fewer file reads, and lower cost per query, at comparable
answer quality (benchmarks ↓).
repowise runs once, builds everything, then keeps it in sync on every commit. Each layer is queryable from the CLI, the MCP tools, and the local dashboard.
| Layer | What it gives you | Edge |
|---|---|---|
| ◈ Graph | tree-sitter dependency graph across 15 languages · two-tier file + symbol nodes · 3-tier call resolution · Leiden communities · PageRank / centrality / execution flows · framework-aware route→handler edges | A real graph most tools never build |
| ◈ Git | hotspots (churn × complexity) · ownership % · co-change pairs (hidden coupling) · bus factor · contributor profiles · module health · reviewer suggestions | Behavioral signals static analysis can't see |
| ◈ Docs | LLM-generated wiki per module/file · incremental on every commit · freshness + confidence scoring · hybrid RAG search (FTS + vector via RRF) | Stays current — rebuilt every commit |
| ◈ Decisions | architectural decisions mined from 8 sources, evidence-backed (verified / fuzzy / unverified), linked to graph nodes, connected by supersedes/refines/conflicts_with edges, tracked for staleness | ★ Captured nowhere else |
| ★ Code Health | 25 deterministic biomarkers, 1–10 score per file · defect-calibrated weights · coverage ingestion · trend alerts · refactoring targets · zero LLM, <30s | ★ Defect-validated — our edge ↓ |
Full deep-dive on every layer (graph, git, docs, decisions, hooks, auto-sync, dead code, CLAUDE.md generation): docs/INTELLIGENCE_LAYERS.md →