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

Scan any agent skill — authored or compiled — for prompt injection, secrets, and malicious execution before it touches your agent. Or compile the long tail on the fly.

Research that compiles.

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

MCPify is an AI enablement compiler that transforms existing applications into AI-native, agent-operable systems.

The Wiki-link doc compiler for the LLM era.

Compiles AI agent traces and truns them into reusable context.

MCP server for persistent Julia sessions — fast iteration without startup/compilation overhead

Overleaf CLI - pull, push, sync, compile LaTeX projects from your terminal. Git remote helper, MCP server for AI agents, and TypeScript library.

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.

Compile, verify, and run multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok—with resume, replay, and incremental recomputation.

A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.

Fullbleed PDF Engine - deterministic Python/Rust document generation for reports, invoices, accessible/print-ready PDF, and compiled VDP.

Claude Code skill for building persistent, interlinked knowledge bases from source documents. Knowledge is compiled once and kept current — never re-derived per query. Based on Karpathy's LLM Wiki pattern.

Source-available semantic layer and sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

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.

Open-source design-method engine for Claude Code, Codex & Cursor. 23 agent skills for fixed design judgment, multiple grammars, semantic palettes, reference compilation, and evidence-verified UI. MIT.

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.

Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.

Turn your markdown vault into a compounding knowledge wiki (Karpathy inspired). Six agent skills - knowledge grows with every conversation. Works with Obsidian, Logseq, etc. or just folders on your local drive. Compiled memory for your LLM sessions. Crossplatform. GUI install on Claude Desktop, no terminal, no code.

clawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when needed — then drives apps through reusable scripts, verifying every action and routing it through a single safety gate.

A context engine that treats skills as software.

The React Framework