A pure-Python reachability and skeletonization layer that decides what a coding agent actually sees before a request reaches the API.
Deterministic context and policy compiler for supported AI coding agents.
Deterministic state engine for managing conversation state and constraints in LLM applications.
Semantic context compiler for LLM coding agents — packs the smallest useful codebase context for any task. Zero dependencies, deterministic, token-efficient.
Trust-domain aware context compiler and agent-facing frontend for CIC agent context (cic-mcp-* family)
TypeScript port of the Context Compiler core
Review-gated context compiler — turn long-term content into multi-runtime agent context (CLAUDE.md, AGENTS.md, …) with PR/approve gates and before/after evaluation.
Local-first MCP server that sits transparently between your AI editor and any model, classifying intent, selecting the right files, and compiling focused context — with zero manual invocation.
A context compiler for AI coding agents: state intent in English, get governed context (CLAUDE.md, agent defs, checks, provenance) for Claude Code and Codex.
TypeScript directive drafting and acquisition-layer utilities for Context Compiler.
Draft candidate Context Compiler directives from natural-language input.
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