Features
OS-level automatic memory capture of code, docs, chats, meetings
LTM-2 Long-Term Memory Engine storing 9 months of workflow history
Natural language search across all memories
1-click save and AI-tagging of code snippets
Workstream Activity timeline view in desktop app
MCP integration for context with GitHub Copilot, Cursor, Claude, Goose
Real-Time Context for favorite LLMs (cloud or local)
Chrome plugin for capturing research links and highlights
VS Code, JetBrains, Visual Studio, Sublime Text plugins
JupyterLab, Obsidian plugins
Meeting capture and automatic standup report generation
Private by design: local by default, air-gapped, cloud optional
End-to-end control: on-device processing, no external servers
Time-based memory queries for precise recall
Hosted MCP endpoint for LLM integration
Version-pinned documentation per library version
Live documentation quality rankings
Automatic doc freshness for public libraries
Integrates with Cursor, Claude Code, Copilot, Codex
Prompt idiom 'use context7' for any library
Private library support (enterprise only)
Documentation index via /docs/llms.txt
API for fetching documentation
Library claiming for owners
Chat widget for live docs
Management of policies and rules
Monitoring and usage analytics
Authentication for library management