Features
Multi-agent workspace with role-based specialists (Partner, Engineer, Product Lead, Designer)
Parallel agent collaboration with handoffs
Per-agent persistent skills and memory on disk (plain files)
Mixed model assignment per role (Claude Opus, GPT-5.5, Gemini, etc.)
Background Partner agent for knowledge mining and upgrade proposals
Local-first: everything runs on your machine, no cloud dependency
Supports 11+ CLI agent runtimes (Claude Code, Codex, Gemini CLI, Cursor Agent, etc.)
Task-level context with project workspaces
Live streaming of agent actions and file edits
Run statistics: elapsed time, tokens, tool calls, lines changed
Agent handover with one-line briefs
Custom crew composition and agent creation
Plain-file storage for skills and memory (version-controllable)
Open-source codebase on GitHub (MIT license)
Mobile companion app with end-to-end encrypted pairing
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
