Features
Run AI models locally on Apple Silicon
Persistent memory across sessions
Autonomous agent creation and execution
Voice control and folder watchers
Plugin system for browser and file integration
Cryptographic identity for agents
Connects to ChatGPT, Claude, Gemini
Shared memory across local and cloud models
AppleScript-8B model for macOS automation
AppleScript-16B model for macOS automation
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
