Most AI coding tools waste 60-80% of their context window on irrelevant code. Deploy a persistent codebase intelligence graph — your agents only read what matters. Faster responses. Fewer hallucinations. Less token spend.
Every AI coding tool has the same problem — it doesn't know what's relevant in your codebase.
Claude Code, Cursor, Cline, Copilot — they all dump your entire context window with irrelevant files. The result? Wasted tokens, slow responses, hallucinations.
Every new session, your AI starts from zero. It has no memory of your codebase structure, no persistent graph of which files connect. It guesses — and guesses wrong.
Teams using AI coding tools daily burn massive token budgets reading files the AI doesn't need. A codebase intelligence graph cuts that waste by 60-80% on day one.
A persistent codebase graph — deployed once, auto-maintained, integrated with every AI tool you use.
We deploy the codebase intelligence server in your environment. It scans your entire repo — files, functions, classes, imports, data models — and builds a persistent graph index.
Your AI tools connect through a local MCP server or CLI. When they need context, the graph serves only relevant files — intellisense-level precision. Works with Claude, Cursor, Cline, VS Code, Copilot, any MCP client.
Every commit, every branch switch — the graph auto-updates. No manual rebuilds. We monitor index health, optimize for large monorepos, and keep your AI tools fast.
Everything you need to make your AI agents actually understand your codebase.
Relationships between files, functions, classes, types, data models — stored and queryable. Your AI knows what connects to what without guessing.
Plugs directly into Claude Desktop, Cursor, VS Code, Cline, Copilot, Continue.dev, any stdio or HTTP MCP client. One config, all tools benefit.
Index runs locally in your environment. No cloud latency, no data leakage. Graph queries in milliseconds — same machine as your AI tools.
Git hooks + watchers trigger incremental re-indexing on every change. Your graph is never stale — branch switch, pull, commit, all handled automatically.
See exactly how many tokens and context calls you've saved. Measure the ROI of your codebase intelligence deployment in real time.
Handles repos of any size. Selective indexing, namespace isolation, and priority tagging for monorepo workspaces. No performance cliffs at scale.
Everything runs in your environment. Your code never leaves your machine. Enterprise-ready for compliance-heavy teams.
One index serves the whole team. Share context across multiple developers. Consistent AI understanding of the codebase for everyone.
One-time setup, monthly maintenance. No hidden fees, no surprise bills.
One command. Two minutes. See exactly how much context your AI agents waste — and how to fix it.
No spam. No sales calls. The audit is genuinely free.
The #1 GitHub trending repo this week (26K+ ★) proved it — codebase intelligence graphs are the next big leap in AI-assisted development. Most teams can't configure it right. We do it for you.