Compression Benchmarks

ContextOS solves this by aggressively stripping out noise: omitting unchanged imports, stripping documentation strings, and extracting only the exact code blocks necessary to satisfy the query.

Standard 100-Query Benchmark

Average Tokens / Query

589

Average token usage per query across the 100-query benchmark.

Retrieval Latency

< 50ms

P99 Latency for retrieving from local SQLite database (including BM25 and Vector matching).

Exact Function Accuracy

98%

Successfully pinpointing the exact AST node (function/class) required to answer the query.

Conceptual Accuracy

96%

Successfully mapping the semantic intent of the query to correct codebase domains.

Throughput & Scalability

The backend Daemon handles indexing asynchronously. Rather than blocking your LLM queries, indexing happens passively in the background using SQLite WAL mode.

1,000,000 files
Hard limit on total files parsed per workspace to prevent Out-Of-Memory (OOM) errors and sandbox escapes.
~2ms / file
Average parsing time using the Tree-sitter AST parser, enabling rapid initial indexing.
pLimit(5)
Concurrency cap on file watchers, preventing CPU starvation during massive branch swaps (e.g., git checkout).