Enables capturing and storing AI coding decisions as markdown, and provides MCP tools for assistants to query and record those decisions so they respect past architectural choices.
Open, Git-native memory protocol for MCP agents: stores memories as Markdown files in a Git repo, enabling portability, auditability, and human-editable memory across different AI agents.
MCP server for managing an OKF markdown knowledge base, enabling AI agents to query, read, write, and auto-sync architectural decisions and rules via Git.
Provides MCP tools that give AI agents persistent, append-only memory in a git repository, letting them record observations, decisions, and corrections while retrieving context briefs, current facts, conflicts, and traceable event history without a vector database.
Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.
Git-native MCP server for managing AI context across sessions. Enables LLMs to access project and feature context via markdown files, preserving decisions and constraints.