Renatus

Renatus is a production-ready AI platform that applies LLM-driven code changes to real GitHub repositories with the audit rigor that enterprises actually need. Four agents share one engine — Migrate, Refactor, Security Audit, and Codebase Q&A. Every run follows the same pipeline: clone → index imports and symbols into a knowledge graph → Cartographer generates a rule plan → Surgeon patches files using IBM watsonx.ai Granite — the only LLM that runs in regulated cloud environments — → Examiner generates regression tests → Auditor signs the entire event log with ed25519. The signature is verifiable by anyone, offline, with no Renatus account . The knowledge graph is not a vanity visualization. It is the retrieval system. Instead of dumping an entire codebase into a 200k-token prompt, Renatus walks import edges via recursive SQL to find only the files downstream of a breaking change. The LLM sees a focused, relevant slice. Patches are accurate. Hallucinations are reduced. Every Renatus tool is exposed as an MCP server. IBM Bob can call migrate_repository, query_knowledge_graph, propose_patch, or sign_audit directly from the IDE — no context switching, no copy-paste. The same signed audit report that satisfies a compliance reviewer is generated whether the run came from the web app or from a Bob prompt. Built with: IBM watsonx.ai Granite (primary LLM), Next.js 16, Neon Postgres, Inngest durable workflows, isomorphic-git, react-force-graph, WebContainers for in-browser test replay.