Your codebase has context.
Most AI agents ignore it.
Adra-AI doesn't.
Adra-AI is a multi-agent coding intelligence platform that reads, indexes, and reasons over your entire repository before writing a single line of code - so generated code actually fits what you already built.
Three modes. One intelligent platform.
Project Generation
Describe your app in plain English. Adra-AI plans the architecture, orders the files by dependency, writes each one with cross-file context, and validates the whole codebase before handing it to you.
Repository Editing
Upload or connect an existing repo. The Repository Agent indexes it into Qdrant, retrieves relevant context, and edits only what needs changing - without duplicating what you already have.
Codebase Q&A
Ask any question about a repository. The Explainer Agent retrieves semantically relevant code chunks and gives you architectural and logical answers grounded in your actual code.
Not a wrapper. An agent system built for production codebases.
| Capability | Generic RAG / Chatbot | Adra-AI |
|---|---|---|
| Codebase awareness | Sliding window context only | Full AST-parsed, semantically indexed repository |
| Indexing efficiency | Re-embeds everything on each run | SHA256 hash-based incremental indexing - 90%+ cost reduction |
| Chunking strategy | Naive character counts (cuts functions and classes in half) | Supports 7+ languages with code-aware chunking (respects class & function boundaries) |
| Code structure | One model, one pass | 5 specialized LangGraph agents with typed state propagation |
| Cross-file consistency | No cross-file validation | Integrator agent does a full codebase validation pass post-generation |
| Real-time visibility | Spinner until done | WebSocket-streamed per-agent execution logs to UI in real time |
| Multi-tenancy | Single-user demo | PostgreSQL-backed user isolation with OAuth and project management |
Built on production-grade tooling.
LangGraph
Manages cyclic graphs, loops, and agent shared state with full conditional branching controls.
Qdrant
Dense semantic matching engine. Stores code node AST chunks and performs hybrid text search.
FastAPI
High-performance Python backend coordinating state transfers and streaming real-time agent logs.
Next.js 14
React server components render fast layouts. Handles auth and streams WebSocket updates.
Gemini + Groq API Models
High token context limits with extremely low inference speeds for repository ingestion.
PostgreSQL
Holds workspace, users, and execution logs. Built with transactional safety guarantees.
Docker
Guarantees reproducible runtime execution across local, staging, and production environments.
OAuth 2.0
Secure multi-tenant credentials mapping workspace access to team repository nodes.