A grounded workflow, not a black box.
Bring your repos, datasets, and documents. NeuraHub indexes them into a graph + vector brain — no data leaves your tenant.
Ask questions in plain English. GraphRAG fuses vector search with a knowledge graph, so every answer is grounded and cited.
Turn answers into action: run tool-using agents, train models, generate courses, and remember what matters — as a team.
Every module is grounded, governed, and production-grade.
Index a repo into a call graph + embeddings. Ask how anything works and get grounded answers that cite the exact file and line — no hallucinated APIs.
Upload a dataset and NeuraHub profiles it, runs data-quality checks, and trains an AutoML leaderboard (LogReg → RandomForest → XGBoost) with explainability.
Compose tool-using agents with a bounded, safe loop, run them, and publish to a shared marketplace for your whole org to install and fork.
Store facts, events, and preferences; recall blends semantic similarity with importance and recency so the right memory shows up at the right time.
Everything your team needs to build with AI.
Answers quote the exact source — file:line, document, or chunk. No confident nonsense.
Every tenant is isolated in Postgres with FORCE row-level security. Data never leaks across orgs.
Built on the OpenAI SDK through a single gated gateway with budgets, caching, and guardrails.
Earn XP, ranks, streaks, and achievements. Work feels like a game — because it should.
Clean hexagonal architecture, strictly typed, fully tested.