Spec-Driven Development with organizational governance. Specs tell AI agents what to build; Charter governs how they build it. Git-native missions, enforceable workflows, and consistent engineering standards across AI coding agents and harnesses.
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300Β΅s in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
A universal git-native AI agent framework. Your agent lives inside a git repo β identity, rules, memory, tools, and skills are all version-controlled files.
Open-source, Git-native memory for AI coding agents β deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.
A local, Git-native review + feedback layer for existing LaTeX projects.
Git-native context handoff for humans and AI agents
Ontology-anchored, git-native data modeling for dbt-core teams
A lightweight, Git-native knowledge base skill for AI Agents β no vector DB, no chunking, no embeddings. Just TOC + line numbers + full source.
Checks every AI agent action against your company's real rules before it runs. Git-native, PR-reviewed.