Nomik
Your AI agent's memory. A knowledge graph of your codebase
Nomik launched on March 6, 2026 with 2 votes, #5,166 of 23,380 launches that month.
What it does
Stop feeding raw files to your AI agent. Nomik parses your entire codebase into a structured knowledge graph: functions, call chains, routes, DB tables, APIs, events, all connected with real relationships. It plugs into Cursor, Windsurf, and Claude via MCP so your agent queries precise context instead of guessing from file dumps. Ask "what breaks if I change this?" and get a real answer. Supports TypeScript, Python, Rust, SQL, and config files. Free, open-source, 100% local. No cloud, no lock-in
Nomik builds a knowledge graph of your codebase and connects it to Cursor, Windsurf, and Claude via MCP. Your AI stops guessing and starts knowing — functions, routes, DB tables, and APIs all mapped. Free, open-source, 100% local.
Scan your codebase once — every function, route, DB call, and API mapped into a searchable graph, connected to your AI editor via MCP. No hallucinations. No context overflow. Every time you ask Cursor or Claude about your codebase, it starts from zero. No memory. No map. Just vibes and grep. Nomik gives your AI a permanent GPS of your entire codebase. Instead of your AI reading every road sign from scratch each trip, the map is already built. Functions, routes, database calls, queues, external APIs — all connected in a knowledge graph. Your AI queries that graph instead of reading raw files. You ask "what calls sendOrderConfirmation?" — your AI greps the string, pulls in 47 matches…from nomik.co
Does a similar job
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Graphicle, a Rust port of Graphify with memory for coding agents8d ago · github.com · ▲48Code graph and memory for your coding agents, in one Rust program. For Claude Code, Codex, Cursor and any MCP client. - Graphicle-AI/graphicle
BleenkJan 2026 · bleenk.app · ▲41I kept running into the same issue whenever starting a new project: the setup phase consumed more time than the actual feature work. Preparing boilerplate, restructuring directories, performing refactors, resolving dependency conflicts, and wiring framework logic consistently took hours before I could write meaningful code. Even with modern tooling, the early-stage workload was nearly identical across projects. To remove that bottleneck, I built Bleenk, an AI coding agent that operates directly on real repositories. Instead of generating isolated snippets, it performs multi-step…

Sense, code intelligence for AI agentsJun 2026 · luuuc.github.io · ▲14Your AI has your code's text, never its map. Fix that.

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