Stop using naive RAG.

Your AI forgets relationships between documents. Mindex gives it real memory.

Works with Claude, Cursor, Codex and any MCP-compatible tool.

See the difference.

Question: "How does the payment flow work?"

Naive RAG

[payment-flow.md]similarity: 71%

The payment system uses Stripe checkout sessions to process payments.

No mention of webhooks, billing state, or downstream effects.

No relationships found.

Mindex GraphRAG

[payment-flow.md]relevance: 92%

Complete payment flow with Stripe checkout sessions, subscription management, and plan validation.

[billing-setup.md]relevance: 85%

via RELATES_TO

Webhook handling: checkout.session.completed updates subscription status, triggers email notification, and syncs plan limits.

Shows dependencies between systems.

Try it in seconds

$ mindex context "how does the payment flow work?" --compare

Your AI guesses instead of connecting the dots.

Your brain doesn't search by similarity. It connects ideas. Mindex works the same way — a memory layer that understands relationships, not just keywords.

Works where you work.

Connect Mindex to Claude, Cursor, Codex, or any tool that speaks MCP. Or use the REST API directly.

Install the CLI and connect to any tool in seconds

# Install
curl -fsSL https://raw.githubusercontent.com/usemindex/cli/main/install.sh | sh

# Authenticate
mindex auth

# Get context from your knowledge base
mindex context "how does authentication work?"

# Connect to your AI tool
mindex mcp install claude-code
mindex mcp install cursor
mindex mcp install windsurf
mindex mcp install claude-desktop

Works with Claude

Native support for Anthropic models.

Works with OpenAI

Compatible with GPT and the OpenAI API.

Pluggable via API

Simple REST API. MCP support included.

Ready in minutes

No infra to manage. Just plug and go.