Persistent, searchable memory for AI agents. Enables agents to recover context after compaction by searching indexed conversations, emails, and files via MCP tools.
Provides cross-session memory for AI agents by maintaining a rolling 24-hour event stream and searchable daily archives to prevent context loss. It enables agents to record, query, and retrieve historical events and decisions through a structured markdown-based workspace.
Provides persistent cross-session memory and full-text search for AI coding assistants, storing project context, decisions, and preferences while enabling searchable access to conversation history via local SQLite.
Provides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.