LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.

Research that compiles.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

The Wiki-link doc compiler for the LLM era.

Official Findings of EMNLP 2026 implementation of Corpus2Skill: compile a document corpus into a navigable skill hierarchy that LLM agents explore at query time, with document lookup instead of a serving-time vector-search service.

Scala code intelligence for coding agents. Zero Build Server. Zero Compilation. Just answers.

Web tasks that compile. Other browser tools tell your AI agent the click worked. chrome-agent reads the page back after every action and answers in JSON what actually happened. One 3 MB Rust binary, no Node, no cloud.

A context engine that treats skills as software.

A standalone BMAD module that transforms code repositories, documentation websites, and developer discourse into agentskills.io-compliant, version-pinned, provenance-backed agent skills.