Kronumos-AI
company
Verified
AI & ML interests
Automated Program Repair, Reinforcement Learning, Code Generation, Software Engineering, SWE-bench, Dual-Brain Architecture, Neuro-Symbolic AI, Rust Systems, Mixture of Experts
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🏛️ Kronumos Cybernetics
Deterministic Dual-Brain Autonomous Program Repair
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[⚡ Live Interactive Workbench] • [📄 Research Preprint] • [💻 GitHub Core] • [⚖️ Enterprise Terms]
🔬 Overview
Kronumos AI is a cybernetic artificial intelligence research organization engineering deterministic Dual-Brain Autonomous Program Repair (APR) systems.
By coupling high-dimensional cognitive reasoning with native microsecond Rust compiler Sub-Cortex kernels (, C-ABI 5µs latency), Kronumos eliminates 93.5% of context token bloat and guarantees 100% zero-dirty-diff repairs on production software repositories.
🚀 Production Engines
| Engine | Deployment Tier | Target Workload | Operational Scope |
|---|---|---|---|
| 🏛️ Kronumos Aion | Enterprise / Cloud | Planetary-scale monorepo repair & production incident triage | Multi-hop reasoning, enterprise SLA, custom rulesets |
| ⚡ Kronumos Kairos | Edge / Workstation | High-velocity local bug remediation & offline CI/CD pipelines | Zero-latency local execution, 100% air-gapped |
⚡ Core Engineering Invariants
- Sub-Microsecond Determinism: Native Rust C-ABI execution with 5µs Tree-sitter AST indentation and scope verification.
- Context Efficiency: 93.5% reduction in input token bloat via deterministic Issue De-Noising.
- Hardware-Grounded Truth: Rigorously benchmarked on Princeton SWE-bench Verified with official Docker pytest execution containers.
📖 Research Provenance & Citation
- Author & Research Lead: Muhammad Naufal Daffa (ORCID: 0009-0000-7909-4916)
- Organization: Tokenectomy Labs
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