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 or team drift. Dalexor introduces Real-time Conflict Awareness. By tracking edit velocity and dependency clusters, we predict logical collisions before they are saved. Our new Automated Review Layer launches instantly when a conflict is detected, allowing team members to resolve differences with full diff visibility and commit messages, rather than waiting for a broken merge.
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, ...]
High-Fidelity Sync & Review
Thinking like Git, Dalexor treats your local environment as a primary branch. If a teammate pushes a version of a file before you, our server returns a 409 Conflict—rejected because you are "behind."
- The Staging Area: Divergent versions are held as Pending Reviews in the database—never touching your disk without permission.
- Accept (Merge --theirs): Instantly write the teammate's high-fidelity version to your machine.
- Reject (Keep Yours): Close the review while silently advancing your hash baseline to prevent infinite sync loops.
[AGENT] Status: Divergence Detected
[REVIEW] Awaiting [Accept] or [Reject]
[ACTION] Launching High-Fidelity UI...
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: Get the source code of any symbol.
- trace_dependency: Map the blast radius of any change.
- get_structural_outline: Retrieve imports, classes, and methods.
- get_dependency_topology: Map all structural relationships.
- get_atomic_diff: AI-summarized unified diffs of recent edits.
Intelligence Layer
- predict_conflicts: Velocity-based risk analysis.
- neural_search: Discover code by meaning and intent.
- trace_logic_heritage: Full historical narrative of "why".
- mcp_health_check: Live connectivity & auth status.
History Layer
- diff_evolution_snapshots: Timeline of conceptual shifts.
- dx review: High-fidelity code sync with diff highlighting.
- dx restore: Recover code based on logical intent.