sharingan-ai 0.1.0

Open-source knowledge graph for latest documentation of popular tech stacks. AI coding assistant plugin for Claude Code, Codex, Cursor, and more.

Sharingan 👁️

Open-source documentation knowledge graph for AI coding assistants.

Turn the latest documentation of popular tech stacks into a queryable knowledge graph — with plugins for Claude Code, Codex, Cursor, Gemini CLI, and more.

Think of it as: Context7, but fully open-source. Or Graphify, but for external library docs instead of your codebase.

Why Sharingan?

AI coding assistants hallucinate outdated APIs. Their training data has a cutoff. Sharingan solves this by maintaining a live, version-aware knowledge graph of the documentation for the frameworks you actually use.

Feature	Context7	Graphify	Sharingan
Open-source backend	❌	✅	✅
Documentation focus	✅	❌ (code)	✅
Version tracking	✅	❌	✅ (last 3 majors)
Offline-first	❌	✅	✅
Graph relationships	❌ (vectors)	✅	✅
Migration queries	❌	❌	✅
Confidence tagging	❌	✅	✅

Quick Start

# Install
pip install sharingan
# or
uv tool install sharingan

# Extract documentation for a library
sharingan extract zod
sharingan extract nextjs --version 15.3.2
sharingan extract react --skip-llm  # Pass 1 only (free, no API key needed)

# Query the knowledge graph
sharingan query "useRouter" --lib nextjs
sharingan query "z.string" --lib zod

# Install into your AI assistant
sharingan install --platform claude
sharingan install --platform codex
sharingan install --platform cursor

How It Works

Sharingan uses a two-pass extraction pipeline (inspired by Graphify):

Pass 1 — Deterministic (Free, No API Calls)

• Parses markdown/HTML documentation
• Extracts code blocks, API signatures, parameter tables
• Identifies heading structure and cross-references
• Zero token cost — runs entirely locally

Pass 2 — Semantic (LLM-Assisted)

• Summarizes prose documentation
• Infers relationships between API symbols
• Detects deprecation patterns
• Scores confidence on inferred edges
• Auto-detects backend: Anthropic → OpenAI → Ollama

Graph Building

• Merges Pass 1 + Pass 2 into a NetworkX directed graph
• Clusters related APIs into communities via Leiden algorithm
• Exports to JSON files in a git-friendly structure
• Every edge tagged with confidence: EXTRACTED, INFERRED, or AMBIGUOUS

Covered Libraries

Tier 1 (Available Now)

React, Next.js, TypeScript, Node.js, Python, FastAPI, PostgreSQL, Tailwind CSS, Prisma, Zod

Tier 2 (Coming Soon)

Vue.js, Svelte, Django, Express.js, Docker, Supabase, Drizzle ORM, tRPC, Vite, shadcn/ui

Tier 3 (Planned)

Angular, Rust, Go, Flask, LangChain, Vercel AI SDK, MongoDB, Redis, Stripe, AWS SDK

CLI Commands

sharingan extract <library>     # Extract docs into knowledge graph
sharingan list                  # Show all libraries in registry
sharingan info <library>        # Show library details
sharingan query <question>      # Query the graph
sharingan status                # Show extraction statistics
sharingan install               # Install AI assistant skill

For AI Assistant Plugin Developers

Sharingan exposes an MCP server for direct integration:

# Start MCP server (stdio transport)
python -m sharingan.serve

# Start MCP server (HTTP transport)
python -m sharingan.serve --transport http --port 8080

MCP Tools Available

Tool	Description
resolve_library	Find library by name
get_symbol	Get full API docs for a symbol
search_docs	Search guides and symbols
get_migration	Get migration guide between versions
query_graph	Free-form graph query
get_neighbors	Get related nodes
shortest_path	Find connection between symbols

Contributing

We welcome contributions! The most impactful ways to help:

1. Add a library — add an entry to registry.json and run the extraction pipeline
2. Improve parsing — better regex patterns for API signature extraction
3. Report issues — if extraction misses or misidentifies an API

# Dev setup
git clone https://github.com/sharingan-docs/sharingan
cd sharingan
uv sync --all-extras
uv run pytest tests/ -q

License

MIT