AI and search discovery

Canonical documentation: https://zeitcow.github.io/implicit-core/. Static HTML, mirrored Markdown, robots.txt, sitemap.xml, llms.txt, llms-full.txt and SoftwareApplication metadata describe Implicit without requiring client JavaScript. CITATION.cff names the version, author, license and public repository.

Stable pages include installation, architecture, adapters, benchmarks, security, MCP, FAQ, troubleshooting and agent integration. The benchmark page cites the rc1 population: 155/155 equivalent cases, 93.88% aggregate, 94.40% mean and 99.55% median retained serialized/materialized-state reduction with approximately +0.554 seconds/case mean full-pipeline latency overhead. Bytes are not RAM; the sanitized summary permits arithmetic checks, not native replay.

robots.txt allows OAI-SearchBot, PerplexityBot and other retrieval crawlers. These assets support discovery once their public HTTP surfaces are verified. DISCOVERABLE_SURFACES_READY is separate from ACTUALLY_INDEXED: indexing remains unknown until observed externally. No search ranking or retrieval guarantee is made.