Provides persistent memory and knowledge management for coding agents via MCP, including typed decision/snippet/runbook storage, semantic search, explicit session lifecycle, and nightly consolidation.
Provides shared long-term memory for AI coding agents via MCP, allowing tools like Claude Code and Codex to store and retrieve distilled facts, notes, and conversation history to persist context across sessions.
Provides a self-tending knowledge base for AI agents, automatically harvesting session transcripts into facts and state notes, and injecting relevant context into new sessions via MCP hooks.
Enables AI coding agents to maintain persistent, cross-session memory of codebase architecture, naming conventions, and decisions through MCP tools. Eliminates repetitive project re-explanation by automatically injecting stored context into every session with local-first SQLite storage and optional team sharing capabilities.
Provides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.
