Your AI agents don’t need AI to understand your codebase.
After weeks of burning tokens on context generation, I asked myself: Why am I paying cloud providers to tell me what my own code does?
The answer: I shouldn’t be.
🧠 Introducing the Local Qontextor Stack
QonQrete v0.7.0-beta brings a fully deterministic, zero-cost, privacy-first approach to codebase understanding. No API calls. No token burn. Just pure, local intelligence.
The 5-Component Smart Stack
1️⃣ Python AST – Extracts the fundamental skeleton: classes, functions, signatures. The bones of your code, parsed instantly.
2️⃣ Docstring Extraction – When you’ve written docs (you have, right? 😅), we harvest that high-confidence wisdom directly.
3️⃣ Heuristic Verb Database – No docstring? No problem. get_user() → “Retrieves user”. validate_input() → “Checks input”. 15+ verb patterns that decode intent from naming conventions alone.
4️⃣ Jedi Static Analysis – Type inference and cross-file relationship mapping. Understands your imports, your dependencies, your architectural connections.
5️⃣ PyCG Call Graph – Maps the entire execution flow. Who calls whom? What’s the ripple effect of changing that one function? Now you know.
Bonus Layer (Complex Mode): Local sentence-transformers embeddings for semantic similarity search. Find related code by meaning, not just keywords.
The Numbers
| Metric | Value |
|---|---|
| Context costs | $0.00 |
| Speed | Milliseconds |
| Privacy | Your code stays local |
| Reliability | Always available |
🔧 Additional v0.7.0 Features
- ✅ Qwen AI Provider – Full integration with qwen-turbo, qwen-coder, and qwen-max models (QonQrete is immune to the 90k token issue)
- ✅ Dynamic Local Agent Loader – Offline agents that just work
- ✅ CLI Query Tools –
--query,--verb, and--rippleflags for instant codebase interrogation - ✅ Robust Agent Fallbacks – Graceful degradation when components are disabled
- ✅ Enforced Verb Naming – ConstruQtor now generates deterministic, parseable code
🎯 Why This Matters
The cloud AI gold rush has everyone sending their entire codebases to third-party servers, burning tokens on tasks that don’t require generative intelligence.
Context generation is NOT a generative task. It’s a parsing task. A mapping task. A deterministic analysis task.
Your local machine can do it. For free. In milliseconds. Without your proprietary code leaving your network.
🔗 Get It
QonQrete is open-source, self-hosted, and local-first by design.
GitHub: github.com/illdynamics/qonqrete
Stop burning tokens. Start building smarter.