git-native

Git-native, evidence-backed domain semantic layer for AI agents and human maintainers.

💥 Fast, Git-native framework for building knowledge bases - Static site generator for digital gardens and personal wikis

Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.

The open-source Git-based headless CMS you've been looking for. Connect your Git repo and start editing. No manual config or schema setup.

Git-native context control plane for AI coding agents

A git-native, review-gated knowledge base for AI agents: they propose writes, you approve them. Every claim cites a source, every change is a diff in your repo. MCP + CLI.

Git-native context engineering CLI and MCP server for AI coding agents. Keep specs, ADRs, rules, plans, and project knowledge in Git.

Distributed issue tracking embedded in Git — track issues locally, sync anywhere, no server required

Git-native architecture catalog — Markdown registry, schema-driven UI, AI-ready

A branch-aware, dual-revision epistemic ledger and control plane for AI coding agents. From requirements and isolated work to validated changes and durable, queryable project truth.

🫛👣 FAVA Trails — Git-native, curated memory for AI agents via MCP. Draft isolation, promotion gate, thought lifecycle hooks, memory curation protocols, supersession chains.

AI-native task management documentation framework - Revolutionary markdown-based task management for the AI development era

API testing framework for TypeScript. Lives in your repo, validates against OpenAPI specs, and generates beautiful reports. Built for automation and CI/CD

Kanban Assignment & Responsibility Registry — Git-native, file-based kanban board for multi-agent workflows (Perl)

An open standard for collaborative genealogy and family history

A template for building structured, self-healing, agent-accessible knowledge bases. Zero dependencies. Git-native. Ontology-driven. Multi-output.

Git-native AI learning OS with a GitLearnOS-exclusive DeepSeek Harness panel, targeted practice, local RAG, and learner-owned memory.

Git-native memory for AI agents — markdown knowledge in .megg/ folders that travels with your repo. MCP server + CLI for Claude Code.

internOS — Workstreams framework for human-agent collaboration. Coordinate work across projects, tasks, communication threads, and filesystem workstreams for any AI agent framework.

Substrate — a git-native, agent-operable shared state layer engine for a personal AI agent fleet. Template + mechanism + reference skills + adapters + migrations to build & maintain your own personal knowledge base.