BTI Engine is the retrieval core inside Atlas -- the deterministic memory layer that gives AI agents unlimited recall across codebases of any size.
No embeddings. No vector similarity. No approximation. Same input, same output. Always.
BTI is a purpose-built retrieval engine designed for AI-native knowledge stores. It operates on LoreToken-compressed records and returns exact matches -- not ranked guesses.
Every query returns precisely the records that match. No relevance scoring, no top-k approximation, no results that "might be what you meant."
Same query, same results, every time. No model drift, no embedding shifts, no reindexing surprises. The retrieval layer is a function, not a prediction.
Performance does not degrade as the knowledge base grows. 200,000 records retrieve at the same speed as 200. The architecture was designed for this.
When an AI agent can recall every fact it has ever stored -- instantly, exactly, at any scale -- capabilities that were previously impossible become routine.
Claude Code, or any AI agent, gets persistent memory that never degrades. No context window limits, no compaction loss, no forgetting. Every session builds on every previous session -- permanently.
Scan repositories of any size -- Firefox (20,000+ files), Chromium (28,000+ files), the Linux kernel -- without a single file falling outside the window. Every agent sees every file, every dependency, every interaction.
With full architectural recall, Atlas doesn't just find issues -- it holds enough context to rebuild entire codebases. Every function, every module boundary, every design decision is retained and retrievable.
Query across multiple codebases simultaneously. Compare how Firefox and Chromium handle the same security pattern. Find vulnerability classes that span projects. No other system can do this.
Standard AI tools lose coherence as conversations grow. Atlas-backed agents maintain perfect recall whether the knowledge base holds 200 records or 200,000. The 200,000th record retrieves as fast as the first.
Every scan finding, every architectural insight, every security pattern is stored permanently and instantly available to every future agent session. The system gets smarter with every use -- it never starts from zero.
Atlas is not locked to any single LLM. FluidLLM routing means the same knowledge base works with Claude, Qwen, Llama, or any future model. Swap the brain, keep the memory.
Three-stage query-level security built into the retrieval layer. Pre-prompt injection blocking, RAG poison prevention, and post-output secret redaction. Fail-closed architecture with immutable audit trails.
Each AI agent gets its own persistent memory store scoped per task. Cross-file vulnerability detection, data flow tracking, deduplication -- all maintained across chunks with hot, warm, and cold tiers.
BTI Engine is the retrieval layer inside Atlas, which powers ShipItClean's adversarial code review platform. It currently holds the entire codebases of Firefox, Chromium, the Linux kernel, and a dozen other major repositories -- fully indexed, instantly retrievable.
Gives AI agents unlimited, persistent memory across entire codebases. No context window constraints. No degradation at scale.
108 adversarial AI agents scan repositories of any size. BTI ensures every agent has full recall over the codebase being reviewed.
The query engine that sits on top of BTI. Semantic queries at 616x PostgreSQL speed on the same hardware.
BTI Engine is proprietary infrastructure -- not sold separately.
See BTI Engine in action through ShipItClean's adversarial code review platform.