How it actually works.
Dalexor MI is built from three automated layers that capture code changes, summarize them with AI, and make them instantly queryable by Claude, Cursor, or any MCP-compatible assistant — with zero manual work from you.
The principles behind the product.
Codebases rot from the inside out.
Every software project begins with clarity. Over time, ad-hoc decisions, quick fixes, and undocumented hacks introduce structural decay. This decay isn't technical; it's cognitive. It happens when the "why" behind a decision is lost. Dalexor fights this decay by automatically capturing the purpose behind every edit, preserving the design soul of your project against the erosion of time.
Your code history is private property.
In the age of AI, your codebase is your most valuable asset. We reject the extractive model of modern SaaS that mines your data to train their models. Dalexor is built on a private-first architecture. Your code is encrypted and accessible only by you and anyone you explicitly authorize. We provide the search layer; you own the data.
The IDE should be a second brain.
A developer should never have to context-switch to find an answer. The documentation should live within the code, evolving in real-time. Through our Local Background Monitor and MCP integration, Dalexor acts as a smart layer over your IDE. It whispers suggestions, warns of collisions, and surfaces past changes exactly when you need them—before you even ask.
Fixing bugs is too late. Prevent them.
Traditional CI/CD catches syntax errors. It cannot catch design misalignment. Dalexor introduces Predictive Conflict Defense. By analyzing development speed and code relationships, we predict conflicts *before* they occur. We flag when a new feature violates a core design principle established six months ago. We don't just debug the code; we debug the decision-making process.
Build for the 100-year archive.
Great software outlives its creators. A project's history shouldn't require archaeology to uncover. Dalexor transforms your repository into a self-documenting project. Ten years from now, a new developer should be able to ask, "Why did we choose this pattern?" and receive an instant, high-fidelity answer derived from the past decision points. We are building the Library of Alexandria for your code.
User Authentication
Every user belongs to an isolated organization. When you sign up, you're issued a unique API key — the only credential your local watcher uses to securely send changes to the cloud.
- User Identity Protection
- Encrypted Organization Isolation
- Private Access Key Generation
PAYLOAD: { org: "Acme Corp", tier: "Pro" }
STATUS: Cryptographic Key Generated
Background Monitor
A local process watches your filesystem in real-time. Every file change is scored for significance — whitespace edits get ignored, real logic changes get indexed. Meaningful updates are sent securely to your private project history.
- Real-time Change Monitoring
- Local Processing using Python Watchdog
- Automated Code Update Generation
- Secure Sync via X-DX-Key Protocol
[DETECT] Write Event (124ms)
[ANALYSIS] Change Score: 4.82
[SYNC] Sending to cloud storage...
AI Analysis Engine
Signals are processed by our AI Memory Service. We use Advanced AI Models to generate technical summaries of your project progress. The summary is then transformed into a searchable index using Smart Indexing and stored with optimized fast AI search.
- AI Logic Summarizing
- Smart Global Indexing
- Secure Cloud Search Database (AI Optimized)
MAPPING: [Diff] -> [Logical Summary]
OUTPUT: "[REFACTOR] Replaced X with Y to avoid Z"
VECTOR: [0.12, -0.45, 0.89, ...]
Deep Search Context
Knowledge is only useful if it can be retrieved. Our search system performs deep similarity searches across 10,000+ snapshots. It identifies the most relevant signals and combines them with the latest recent changes to ensure technical queries are answered with historical precision.
- Sub-second Fast Similarity Search
- History-Aware Logic
- Cross-Tool & Studio Integration
MATCHING: 98% Similarity to Atom ID: 124
ANSWER: "Keys are masked via 'scrub_secrets' function."
Common Functions.
Atomic functions available to your AI Assistant.
Analysis Layer
- find_definition: Global search for code origins.
- trace_dependency: Usage Analysis & impact mapping.
- get_structural_outline: Token-efficient code skeleton retrieval.
- get_dependency_topology: Code relationship mapping.
- get_atomic_diff: Step-by-step code replay.
Intelligence Layer
- predict_conflicts: Change speed & risk analysis.
- validate_change_purpose: Design rule auditing.
- neural_search: Semantic concept & intent discovery.
- trace_logic_heritage: Narrative-based reasoning retrieval.
- Query.CodeSearch: Search via AI Deep Recall.
History Layer
- diff_evolution_snapshots: Time-machine for design shifts.
- Time.DecisionRecall: Neural reasoning reconstruction.
- Memory.Persist: Session context saving.
- Memory.Recall: Context restoration.